Logo Uni Bremen

Zentrum für Technomathematik

ZeTeM > Forschung und Anwendungen > Publikationen

Kontakt Sitemap Impressum [ English | Deutsch ]

Publikationen

Zeitschriftenartikel (527)

  1. R. M. M. Abed, L. Polerecky, A. Al-Habsi, J. Oetjen, M. Strous, D. de Beer.
    Rapid Recovery of Cyanobacterial Pigments in Desiccated Biological Soil Crusts following Addition of Water.
    PLoS ONE, , 2014.

    DOI: 10.1371/journal.pone.0112372

  2. H. Albers, T. Kluth, T. Knopp.
    Simulating magnetization dynamics of large ensembles of single domain nanoparticles: Numerical study of Brown/Néel dynamics and parameter identification problems in magnetic particle imaging.
    Journal of Magnetism and Magnetic Materials, 541, 168508, Elsevier, 2022.

    DOI: 10.1016/j.jmmm.2021.168508
    online unter: https://www.sciencedirect.com/science/article/abs/pii/S0304885321007678

  3. H. Albers, T. Knopp, M. Möddel, M. Boberg, T. Kluth.
    Modeling the magnetization dynamics for large ensembles of immobilized magnetic nanoparticles in multi-dimensional magnetic particle imaging.
    Journal of Magnetism and Magnetic Materials, 543, 168534, Elsevier, 2022.

    DOI: 10.1016/j.jmmm.2021.168534

  4. F. Alexandrov.
    A method of trend extraction using Singular Spectrum Analysis.
    RevStat, 7(1):1-22, 2009.
  5. F. Alexandrov.
    Imaging mass spectrometry reveals modified forms of histone H4 as new biomarkers of microvascular invasion in hepatocellular carcinomas.
    Hepatology, 58(3):983-94, 2013.

    DOI: 10.1002/hep.26433

  6. F. Alexandrov.
    MALDI imaging mass spectrometry: statistical data analysis and current computational challenges.
    BMC Bioinformatics, 13 (Suppl 16): S11; IF2.8 , 2012.

    DOI: 10.1186/1471-2105-13-S16-S11

  7. F. Alexandrov.
    The Young PI Buzz: Learning from the Organizers of the Junior Principal Investigator Meeting at ISMB-ECCB 2013.
    POLS Computational Biology, 9(11), e10003350 S., 2013.

    DOI: 10.1371/journal.pcbi.1003350

  8. F. Alexandrov, A. Bartels.
    Testing for presence of known and unknown molecules in imaging mass spectrometry.
    Bioinformatics, 29(18):2335-2342, 2013.

    DOI: 10.1093/bioinformatics/btt388

  9. F. Alexandrov, M. Becker, O. Guntinas-Lichius, G. Ernst, F. von Eggeling.
    MALDI-imaging segmentation is a powerful tool for spatial functional proteomic analysis of human larynx carcinoma.
    Journal of Cancer Research and Clinical Oncology, 139(1):85-95, 2012.

    DOI: 10.1007/s00432-012-1303-2

  10. F. Alexandrov, M. Becker, A. C. Crecelius.
    Phenalenone-type phytoalexins mediate resistance of banana plants (Musa spp.) to the burrowing nematode Radopholus similis.
    Proceedings of the National Academy of Sciences of the United States of America , , 2013.

    DOI: 10.1073/pnas.1314168110

  11. F. Alexandrov, M. Becker, S. Deininger, G. Ernst, L. Wehder, M. Grasmair, F. von Eggeling, H. Thiele, P. Maaß.
    Spatial segmentation of imaging mass spectrometry data with edge-preserving image denoising and clustering.
    Journal of Proteome Research, 9(12):6535-6546, 2010.

    DOI: 10.1021/pr100734z

  12. F. Alexandrov, S. Bianconcini, E. B. Dagum, P. Maaß, T. S. McElroy.
    A review of some modern approaches to the problem of trend extraction.
    Econometric Reviews, 31(6):593-624, Taylor & Francis, 2012.

    DOI: 10.1080/07474938.2011.608032

  13. F. Alexandrov, P. E. . Bourne.
    Learning how to run a lab: interviews with Principal Investigators.
    POLS Computational Biology, 9(11), e1003349 S., 2013.

    DOI: 10.1371/journal.pcbi.1003349

  14. F. Alexandrov, J. Decker, B. Mertens, A. M. Deelder, H. Thiele, P. Maaß, R. A. E. M. Tollenaar.
    Biomarker discovery in MALDI-TOF serum protein profiles using discrete wavelet transformation.
    Bioinformatics, 25(5):643-649, 2009.

    DOI: 10.1093/bioinformatics/btn662

  15. F. Alexandrov, N. Golyandina, A. Spirov.
    Singular Spectrum Analysis of gene expression profiles of early Drosophila embryo: exponential-in-distance patterns.
    Research Letters in Signal Processing, Article ID 825758, 5 S., 2008.
  16. F. Alexandrov, J. H. Kobarg.
    Efficient spatial segmentation of large imaging mass spectrometry datasets with spatially aware clustering.
    Bioinformatics, 27(13):i230-i238, 2011.

    DOI: 10.1093/bioinformatics/btr246

  17. F. Alexandrov, P. Lasch.
    Segmentation of Confocal Raman Microspectroscopic Imaging Data Using Edge-Preserving Denoising and Clustering.
    Analytical Chemistry, 85(12):5676-83, 2013.

    DOI: 10.1021/ac303257d

  18. F. Alexandrov, S. Meding, D. Trede, J. H. Kobarg, B. Balluff, A. Walch, H. Thiele, P. Maaß.
    Super-resolution segmentation of imaging mass spectrometry data: Solving the issue of low lateral resolution.
    Journal of Proteomics, 75(1):237-245, Elsevier, 2011.

    DOI: 10.1016/j.jprot.2011.08.002

  19. I. Altrogge, T. Preusser, T. Kröger, C. Büskens, P. L. Pereira, D. Schmidt, H. Peitgen.
    Multiscale Optimization of the Probe Placement for Radiofrequency Ablation.
    Academic Radiology, 14(11):1310-1324 , 2007.
  20. A. Ardestani, S. Li, K. Annamalai, B. Lupse, S. Geravandi, A. Dobrowolski, S. Yu, S. Zhu, T. D. Baguley, M. Surakattula, J. Oetjen, L. Hauberg-Lotte, R. Herranz, S. Awal, D. Altenhofen, V. Nguyen-Tran, S. Joseph, P. G. Schultz, A. K. Chatterjee, N. Rogers, M. S. Tremblay, W. Shen, K. Maedler.
    Neratinib protects pancreatic beta cells in diabetes.
    Nature Communications, 10(5015), 2019.

    DOI: 10.1038/s41467-019-12880-5.
    online unter: https://doi.org/10.1038/s41467-019-12880" target="doi">015 | https://doi.org/10.1038/s41467-019-12880

  21. T. Arens, D. Gintides, A. Lechleiter.
    Direct and inverse medium scattering in a 3D homogeneous planar waveguide.
    SIAM Journal on Applied Mathematics, 71:753-772, SIAM, 2011.

    DOI: 10.1137/100806333
    online unter: http://dx.doi.org/10.1137/100806333

  22. T. Arens, D. Gintides, A. Lechleiter.
    Variational formulations for scattering in a 3-dimensional acoustic waveguide.
    Mathematical Methods in the Applied Sciences, 31:821-847, WILEY-VCH, 2008.

    DOI: 10.1002/mma.947
    online unter: http://onlinelibrary.wiley.com/doi/10.1002/mma.947/abstract

  23. T. Arens, A. Lechleiter.
    Indicator Functions for Shape Reconstruction Related to the Linear Sampling Method.
    SIAM Journal on Imaging Sciences, 8(1):513-535, SIAM, 2015.

    DOI: 10.1137/140965740

  24. T. Arens, A. Lechleiter, D. R. . Luke .
    MUSIC for extended scatterers as an instance of the Factorization method.
    SIAM Journal on Applied Mathematics, 70:1283-1304, SIAM, 2009.

    DOI: 10.1137/080737836
    online unter: http://dx.doi.org/10.1137/080737836

  25. T. Arens, A. Lechleiter.
    The linear sampling method revisited.
    Journal of Integral Equations and Applications, 21:179-202, 2009.

    DOI: 10.1216/JIE-2009-21-2-179
    online unter: http://projecteuclid.org/euclid.jiea/1242652032

  26. T. Arens, K. Sandfort, S. Schmitt, A. Lechleiter.
    Analysing Ewald's method for the evaluation of Green's functions for periodic media.
    IMA Journal of Applied Mathematics, 78(3):405-431, 2013.

    DOI: 10.1093/imamat/hxr057
    online unter: Link

  27. S. Arridge, P. Fernsel, A. Hauptmann.
    Joint Reconstruction and Low-Rank Decomposition for Dynamic Inverse Problems.
    Inverse Problems and Imaging, 16(3):483-523, 2022.

    DOI: 10.3934/ipi.2021059

  28. S. Arridge, P. Maaß, O. Öktem, C. Schönlieb.
    Solving inverse problems using data-driven models.
    Acta Numerica, 28:pp. 1-174, Cambridge University Press, 2019.

    DOI: 10.1017/S0962492919000059

  29. J. Aurich, D. Biermann, H. Blum, A. Kirsch, A. Rademacher, A. Scheidler.
    Vergleich unterschiedlicher Prozesssimulationen für das Flachschleifen und ihre Kopplung mit einer Finite-Elemente-Maschinensimulation.
    Schleifen und Polieren, 4:44-50, 2011.
  30. E. Bänsch, A. Luttmann, J. Montalvo Urquizo, A. Schmidt, M. G. Villarreal-Marroquin.
    Simulation and multi-objective optimization to improve the final shape and process efficiency of a laser-based material accumulation process.
    Journal of Mathematics in Industry, 10(2), 30 p., 2020.
  31. E. Bänsch, J. Paul, A. Schmidt.
    An ALE finite element method for a coupled Stefan problem and Navier-Stokes equations with free capillary surface.
    International Journal for Numerical Methods in Fluids, Article first published online : 6 AUG 2012, DOI: 10.1002/fld.3711 , Wiley, 2012.

    DOI: 10.1002/fld.3711

  32. C. I. Balog, F. Alexandrov, R. J. Derks, P. J. Hensbergen, G. J. van Dam, E. M. Tukahebwa, N. B. Kabatereine, H. Thiele, B. J. Vennervald, O. A. Mayboroda, A. M. Deelder.
    The feasibility of mass spectrometry and advanced data processing for monitoring Schistosoma mansoni infection.
    Proteomics - Clinical Applications, 4(5):499-510, 2010.
  33. N. Bandeira, J. Watrous, P. Roach, F. Alexandrov, B. S. Heath, J. Y. Yang, R. D. Kersten, M. van der Voort, K. Pogliano, H. Gross, J. M. Raaijmakers, B. S. Moore, J. Laskin, P. C. Dorrestein.
    Mass spectral molecular networking of living microbial colonies.
    Proceedings of the National Academy of Sciences of the United States of America , 109(26):1743-1752, 2012.

    DOI: 10.1073/pnas.1203689109

  34. A. Bartels, P. Dülk, D. Trede, F. Alexandrov, P. Maaß.
    Compressed sensing in imaging mass spectrometry.
    Inverse Problems, 29(12), 125015 (24pp), IOPscience, 2013.

    Selected as one of the highlights among all articles published in IOP "Inverse Problems" in 2013.

    DOI: 10.1088/0266-5611/29/12/125015

  35. C. Bathke, T. Kluth, C. Brandt, P. Maaß.
    Improved image reconstruction in magnetic particle imaging using structural a priori information.
    International Journal on Magnetic Particle Imaging, Article ID 1703015, 3(1), 10 pages, 2017.

    DOI: 10.18416/ijmpi.2017.1703015

  36. M. Beckmann, A. Bhandari, F. Krahmer.
    The Modulo Radon Transform: Theory, Algorithms and Applications.
    SIAM Journal on Imaging Sciences, 15(2):455-490, 2022.

    DOI: 10.1137/21M1424615

  37. M. Beckmann, P. Maaß, J. Nickel.
    Error analysis for filtered back projection reconstructions in Besov spaces.
    Inverse Problems, 37 014002 37(1), IOPscience, 2020.
  38. J. Behrmann, C. Etmann, T. Boskamp, R. Casadonte, J. Kriegsmann, P. Maaß.
    Deep Learning for Tumor Classification in Imaging Mass Spectrometry.
    Bioinformatics, 34(7):1215-1223, Oxford University Press, 2018.

    DOI: 10.1093/bioinformatics/btx724

  39. J. Benedetto, E. King.
    Smooth functions associated with wavelet sets on ℝd, d≥1, and frame bound gaps.
    Acta Applicandae Mathematicae, 107(1):121-142, 2009.

    DOI: 10.1007/s10440-008-9412-2

  40. F. Beyer, H. Blum, D. Kumor, A. Rademacher, K. Willner, T. Schneider.
    Experimental and simulative investigations of tribology in sheet-bulk metal forming.
    Key Engineering Materials, 639:283-290, 2015.
  41. D. Biermann, H. Blum, I. Iovkov, N. Klein, A. Rademacher, F. Suttmeier.
    Stabilization techniques and a posteriori error estimates for the obstacle problem.
    Applied Mathematical Sciences, 7(127):6329-6346, 2013.
  42. D. Biermann, I. Iovkov, H. Blum, A. Rademacher, K. Taebi, F. Suttmeier, N. Klein.
    Wendeltiefbohren mit Minimalmengenschmierung - Experimentelle Analyse und FE-Simulation der thermischen Werkstückbelastung.
    VDI-Z Integrierte Produktion, 154(4):62-65, 2012.
  43. H. Blum, H. Frohne, J. Frohne, A. Rademacher.
    Semi-smooth Newton methods for mixed FEM discretizations of higher-order for frictional, elasto-plastic two-body contact problems.
    , 309:131-151, 2016.
  44. H. Blum, T. Jansen, A. Rademacher, K. Weinert.
    Finite elements in space and time for dynamic contact problems.
    International Journal on Numerical Methods in Engineering, 76:1632-1644, 2008.
  45. H. Blum, A. Rademacher, A. Schröder.
    Goal oriented error control for frictional contact problems in metal forming.
    Key Engineering Materials, 504:987-992, 2012.
  46. H. Blum, A. Rademacher, A. Schröder.
    Space adaptive finite element methods for dynamic obstacle problems.
    Electronic Transactions on Numerical Analysis, 32:162-172, 2008.
  47. H. Blum, A. Rademacher, A. Schröder.
    Space adaptive finite element methods for dynamic Signorini problems.
    Computational Mechanics, 44(4):481-491, 2009.
  48. H. Blum, K. Weinert, T. Jansen, T. Mohn, A. Rademacher.
    Angepasste Simulationstechnik zur Analyse NC-gesteuerter Formschleifprozesse.
    Zeitschrift für wirtschaftlichen Fabrikbetrieb, 101(6):422-425, 2006.
  49. P. Bobrov, J. Montalvo Urquizo, A. Schmidt, W. Wosniok.
    Mechanic-Stochastic Model for the Simulation of Polycrystals.
    PAMM, Vol. 10(1):279-280, WILEY-VCH, 2010.

    DOI: 10.1002/pamm.201010132

  50. C. Bockelmann, H. Schepker, A. Dekorsy, A. Bartels, D. Trede, K. Kazimierski.
    C-Curve: A Finite Alphabet based Parameter Choice Rule for Elastic-Net in Sporadic Communication.
    IEEE Communication Letters, 18(8):1443 -- 1446, 2014.

    DOI: 10.1109/LCOMM.2014.2329487

  51. M. Böhm, J. Devinny, F. Jahani, I. G. Rosen.
    On a moving-boundary system modeling corrosion in sewer pipes.
    Applied Mathematics and Computation, 92:247-269, Elsevier, 1998.
  52. M. Böhm, M. Höpker.
    A note on modelling with measures: Two-Features Balance Equations.
    Mathematical Biosciences and Engineering, 12(2):279-290, 2015.

    DOI: 10.3934/mbe.2015.12.279

  53. M. Böhm, M. Hunkel, A. Schmidt, M. Wolff.
    Evaluation of various phase-transition models for 100Cr6 for application in commercial FEM-programmes.
    Journal de Physique, 4(120):581-589, 2004.
  54. M. Böhm, S. Meier, M. Peter.
    Was zerstört Stahlbeton-Brücken? - Wie Mathematiker mit Mehrskalenmethoden zur Materialforschung beitragen.
    Praxis der Mathematik in der Schule, 20:39-43, 2008.
  55. S. Bökenheide, M. Wolff.
    Comparison of different approaches to verify creep behaviour of 100Cr6 steel.
    Computational Materials Science, 64:34-37, Elsevier, 2012.

    DOI: 10.1016/j.commatsci.2012.04.016
    online unter: http://dx.doi.org/10.1016/j.commatsci.2012.04.016

  56. S. Bökenheide, M. Wolff, M. Dalgic, D. Lammers, T. Linke.
    Creep, phase transformations and transformation-induced plasticity of 100Cr6 steel during heating.
    Materialwissenschaft und Werkstofftechnik, 43(1):143-149, WILEY-VCH, 2012.

    DOI: 10.1002/mawe.201100902

  57. C. Böß, A. S. Lawless, N. Nichols, A. Bunse-Gerstner.
    State estimation using model order reduction for unstable systems.
    Computers & Fluids, 46(1):155-160, Elsevier, 2011.

    DOI: 10.1016/j.compfluid.2010.11.033

  58. S. Boettcher.
    Existence and uniqueness of the solution of thermo-elasto-plasticity with phase transitions in TRIP steels under mixed boundary conditions.
    Journal of Applied Analysis, 24(1):87-98, 2018.

    DOI: 10.1515/jaa-2018-0009

  59. S. Boettcher, M. Böhm, M. Wolff.
    Well-posedness of a thermo-elasto-plastic problem with phase transitions in TRIP steels under mixed boundary conditions.
    ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 95:1461-1476, 2015.

    DOI: 10.1002/zamm.201300287

  60. T. Bonesky, K. Bredies, D. Lorenz, P. Maaß.
    A generalized conditional gradient method for nonlinear operator equations with sparsity constraints.
    Inverse Problems, 23(5), 2007.

    DOI: 10.1088/0266-5611/23/5/014

  61. T. Bonesky, S. Dahlke, P. Maaß, T. Raasch.
    Adaptive wavelet methods and sparsity reconstruction for inverse heat conduction problems.
    Advances in Computational Mathematics, 33(4):385-411, Springer Verlag, 2010.

    DOI: 10.1007/s10444-010-9147-2

  62. T. Bonesky, P. Maaß.
    Iterated Soft Shrinkage with Adaptive Operator Evaluations.
    Journal of Inverse and Ill-posed Problems, 17(4):337-358, 2009.

    DOI: 10.1515/JIIP.2009.023

  63. T. Boskamp, R. Casadonte, L. Hauberg-Lotte, S. Deininger, J. Kriegsmann, B. Maass.
    Cross-Normalization of MALDI Mass Spectrometry Imaging Data Improves Site-to-Site Reproducibility.
    Analytical Chemistry, 93(30):10584-10592, 2021.

    online unter: https://doi.org/10.1021/acs.analchem.1c01792

  64. T. Boskamp, D. Lachmund, J. Oetjen, Y. Hernandez-Cordero, D. Trede, P. Maaß, R. Casadonte, J. Kriegsmann, A. Warth, H. Dienemann, W. Weichert, M. Kriegsmann.
    A new classification method for MALDI imaging mass spectrometry data acquired on formalin-fixed paraffin-embedded tissue samples.
    BBA - Proteins and Proteomics, , 2016.

    DOI: 10.1016/j.bbapap.2016.11.003

  65. T. Boskamp, D. Lachmund, R. Casadonte, L. Hauberg-Lotte, J. H. Kobarg, J. Kriegsmann, P. Maaß.
    Using the chemical noise background in MALDI mass spectrometry imaging for mass alignment and calibration.
    Analytical Chemistry, 92(1):1301-1308, 2020.

    DOI: 10.1021/acs.analchem.9b04473
    online unter: https://doi.org/10.1021/acs.analchem.9b04473

  66. S. Bosse, A. Lechleiter.
    A hybrid approach for structural monitoring with self-organizing multi-agent systems and inverse numerical methods in material-embedded sensor networks.
    Mechatronics, 34:12-37, 2016.

    DOI: 10.1016/j.mechatronics.2015.08.005
    online unter: Link

  67. I. Bougoudis, A. Blechschmidt, A. Richter, S. Seo, J. P. Burrows, N. Theys, A. Rinke.
    Long-term Time-series of Arctic Tropospheric BrO derived from UV-VIS Satellite Remote Sensing and its Relation to First Year Sea Ice.
    Erscheint in Atmospheric Chemistry and Physics

    DOI: 10.5194/acp-2020-116

  68. I. Bougoudis, K. Demertzis, L. Iliadis, V. . Anezakis, A. Papaleonidas.
    FuSSFFra, a fuzzy semi-supervised forecasting framework: the case of the air pollution in Athens.
    Neural Computing and Applications, 7, 2018.
  69. H. Brachtendorf, A. Bunse-Gerstner, B. Lang, S. Lampe, A. Awasthi.
    Quasiperiodic steady-state analysis of electronic circuits by a spline basis.
    Mathematics in Industry, 14(2):199-206, Springer Verlag, 2010.

    DOI: 10.1007/978-3-642-12294-1_26

  70. H. Brachtendorf, A. Bunse-Gerstner, B. Lang, S. Lampe.
    Steady state analysis of electronic circuits by cubic and exponential spline.
    Electrical Engineering (Archiv für Elektrotechnik), 91(4):287-299, Springer Verlag, 2009.

    DOI: 10.1007/s00202-009-0137-7
    online unter: http://www.springerlink.com/content/604x1247152u3576/

  71. C. Brandt, J. Niebsch, R. Ramlau, A. Krause, O. Riemer, P. Maaß.
    Process Machine Interaction Model for Turning Processes.
    International Journal of Control Theory and Applications, 1(2):145-153, 2008.
  72. C. Brandt, P. Maaß, I. Piotrowska-Kurczewski, S. Schiffler, O. Riemer, E. Brinksmeier.
    Mathematical methods for optimizing high precision cutting operations.
    International Journal of Nanomanufacturing, 8(4):306-325, 2012.

    DOI: 10.1504/IJNM.2012.048580

  73. C. Brandt, J. Niebsch, R. Ramlau, P. Maaß.
    Modeling the Influence of Unbalances for Ultra-Precision Cutting Processes.
    ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 91(10):795-808, 2011.

    DOI: 10.1002/zamm.201000155

  74. K. Bredies.
    A forward-backward splitting algorithm for the minimization of non-smooth convex functionals in Banach space.
    Inverse Problems, 25(1), 2009.

    DOI: 10.1088/0266-5611/25/1/015005

  75. K. Bredies, T. Bonesky, D. Lorenz, P. Maaß.
    A Generalized Conditional Gradient Method for Non-Linear Operator Equations with Sparsity Constraints.
    Inverse Problems, 23:2041-2058, 2007.
  76. K. Bredies, D. Lorenz, P. Maaß.
    A generalized conditional gradient method and its connection to an iterative shrinkage method.
    Computational Optimization and Applications, 42(2):173-193, Springer Verlag, 2009.

    DOI: 10.1007/s10589-007-9083-3

  77. K. Bredies, D. Lorenz, P. Maaß.
    An optimal control problem in medical image processing.
    Systems, Control, Modeling and Optimization, 202:249-259, Springer Verlag, 2006.

    DOI: 10.1007/0-387-33882-9_23

  78. K. Bredies, D. Lorenz.
    Iterated hard shrinkage for minimization problems with sparsity constraints.
    SIAM Journal on Scientific Computing, 30(2):657-683, 2008.
  79. K. Bredies, D. Lorenz.
    Linear Convergence of iterative soft-thresholding.
    Journal of Fourier Analysis and Applications, 14(5):813-837, Springer Verlag, 2008.

    DOI: 10.1007/s00041-008-9041-1

  80. K. Bredies, D. Lorenz, P. Maaß.
    Mathematical Concepts of Multiscale Smoothing.
    Applied and Computational Harmonic Analysis, 19(2):141-161, Elsevier, 2005.

    DOI: 10.1016/j.acha.2005.02.007

  81. K. Bredies, D. Lorenz.
    On the convergence speed of iterative methods for linear inverse problems with sparsity constraints.
    Journal of Physics, Conference Series, 124(1):2031-2043, 2008.
  82. J. Bruand, F. Alexandrov, S. Sistla, M. Wisztorski, C. Meriaux, M. Becker, M. Salzet, I. Fournier, E. Macagno, V. Bafna.
    AMASS: algorithm for MSI (mass spectrometric imaging) analysis by semi-supervised segmentation.
    Journal of Proteome Research, 10(10):4734-4743, 2011.

    DOI: 10.1021/pr2005378

  83. C. Buchheim, R. Kuhlmann, C. Meyer.
    Combinatorial Optimal Control of Semilinear Elliptic PDEs.
    Computational Optimization and Applications, 70(3):641-675, 2018.

    COAP 2018 Best Paper Award

    DOI: 10.1007/s10589-018-9993-2

  84. F. Bürgel, K. Kazimierski, A. Lechleiter.
    A sparsity regularization and total variation based computational framework for the inverse medium problem in scattering.
    Journal of Computational Physics, 339, 1–30, 2017.

    DOI: 10.1016/j.jcp.2017.03.011

  85. F. Bürgel, K. Kazimierski, A. Lechleiter.
    IPscatt—A MATLAB Toolbox for the Inverse Medium Problem in Scattering.
    ACM Transactions on Mathematical Software, 45(4), 45:1–45:20, 2019.

    DOI: 10.1145/3328525

  86. C. Büskens.
    A Mixed Open-Loop-Closed-Loop Strategy for Real-Time Optimization of Perturbed Optimal Control Problems with Constraints.
    ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 81, Supplement 2:243-244, 2001.
  87. C. Büskens.
    Echtzeitanpassung des klassischen Riccati-Reglers.
    at - Automatisierungstechnik, 57(6):269-278, Oldenbourg Wissenschaftsverlag, 2009.

    DOI: 10.1524/auto.2009.0775

  88. C. Büskens.
    Suboptimale Regelung nichtlinearer Prozesse.
    at - Automatisierungstechnik, 59(8):489-501, Oldenbourg Wissenschaftsverlag, 2011.

    DOI: 10.1524/auto.2011.0944

  89. C. Büskens, R. Baier, A. Chahma, M. Gerdts.
    Approximation of Reachable Sets by Direct Solution Methods of Optimal Control Problems.
    Optimization Methods and Software, 22(3):433-452, 2007.
  90. C. Büskens, M. Gerdts.
    Computation of Consistent Initial Values for Optimal Control Problems with DAE Systems of Higher Index.
    ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 81, Supplement 2:249-250, 2001.
  91. C. Büskens, M. Gerdts.
    Differentiability of Consistency Functions for DAE Systems.
    Journal of Optimization Theory and Applications, 125(1):37-61, 2005.
  92. C. Büskens, R. Griesse.
    (Computational) Parametric Sensitivity Analysis of Perturbed PDE Optimal Control Problems with State and Control Constraints.
    Journal of Optimization Theory and Applications, 131(1):17-35, 2006.

    DOI: 10.1007/s10957-006-9122-8

  93. C. Büskens, B. Lohmann.
    A Delay-Dependent Approach to Robust Filtering for LPV Systems with Discrete and Distributed Delays using PPDQ Functions.
    International Journal of Control, Automation and Systems, 5(2):170-183, 2007.
  94. C. Büskens, B. Lohmann.
    A LMI Approach to H∞ Filtering for LPV Systems with Delayed States and Outputs.
    International Journal of Nonlinear Dynamics and Systems Theory, 7(4):351-368, 2007.
  95. C. Büskens, M. Knauer.
    Higher Order Real-Time Approximations in Optimal Control of Multibody-Systems for Industrial Robots.
    Multibody System Dynamics, 15(1):85-106, Springer Verlag, 2006.

    DOI: 10.1007/s11044-006-2364-2

  96. C. Büskens, H. Maurer.
    Nonlinear Programming Methods for Real-Time Control of an Industrial Robot.
    Journal of Optimization Theory and Applications, 107(3):505-527, Springer Verlag, 2000.

    DOI: 10.1023/A:1026491014283

  97. C. Büskens, H. Maurer.
    Real-Time Control of Robots with Initial Value Perturbations via Nonlinear Programming Methods.
    Optimization, 47:383-405, Taylor & Francis, 2000.

    DOI: 10.1080/02331930008844488

  98. C. Büskens, H. Maurer.
    SQP-methods for Solving Optimal Control Problems with Control and State Constraints: Adjoint Variables, Sensitivity Analysis and Real-Time Control.
    Journal of Computational and Applied Mathematics, 120:85-108, Elsevier, 2000.

    DOI: 10.1016/S0377-0427(00)00305-8

  99. C. Büskens, S. Winderl.
    Real-Time Optimization of Perturbed Control Systems with Linear Control.
    ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 81, Supplement 2:263-264, 2001.
  100. L. Bungert, D. A. Coomes, M. Ehrhardt, J. Rasch, R. Reisenhofer, C. Schönlieb.
    Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation.
    Inverse Problems, 34(4), 23 S., IOPscience, 2018.

    DOI: 10.1088/1361-6420/aaaf63
    online unter: https://arxiv.org/abs/1710.05705

  101. A. Bunse-Gerstner, D. Kubalinska, G. Vossen.
    h2-norm optimal model reduction for large-scale discrete dynamical MIMO systems.
    Journal of Computational and Applied Mathematics, 233(5):1202-1216, Elsevier, 2009.

    DOI: 10.1016/j.cam.2008.12.029

  102. A. Bunse-Gerstner, R. Stöver.
    On a Conjugate Gradient-Type Method for Solving Complex Symmetric Linear Systems .
    Linear Algebra and its Applications, 287:105-123, 1999.

    DOI: 10.1016/S0024-3795(98)10091-5

  103. F. Cakoni, H. Haddar, A. Lechleiter.
    On the factorization method for a far field inverse scattering problem in the time domain.
    SIAM Journal on Mathematical Analysis, 51(2):854-872, 2019.

    DOI: 10.1137/18M1214809

  104. V. M. Calo, N. Collier, M. Gehre, B. Jin, H. Radwan, M. Santillana.
    Gradient-based estimation of Manning's friction coefficient from noisy data.
    Journal of Computational and Applied Mathematics, 238:1-13, 2013.

    DOI: 10.1016/j.cam.2012.08.004

  105. C. Carstensen, D. Biermann, H. Blum, A. Rademacher, A. Scheidler, A. Schröder, S. Wiedemann.
    Vergleich zweier Flachschleifprozesssimulationen - Beschreibung, Analyse und Kopplung mit einer Maschinensimulation.
    wt Werkstattstechnik online, 102:24-26, 2012.
  106. F. Castellini, M. Lavagna, A. Riccardi, C. Büskens.
    Quantitative Assessment of Multidisciplinary Design Models for Expendable Launch Vehicles.
    Journal of Spacecraft and Rockets, 51(1):343-359, 2014.

    DOI: 10.2514/1.A32527

  107. K. Chandrasekaran, C. Gottschalk, J. Könemann, B. Peis, D. Schmand, A. Wierz.
    Additive stabilizers for unstable graphs.
    Discrete Optimization, 31:56-78, 2019.

    DOI: 10.1016/j.disopt.2018.08.003

  108. Q. Chen, H. Haddar, A. Lechleiter, P. Monk.
    A Sampling Method for Inverse Scattering in the Time Domain.
    Inverse Problems, 26, 085001, IOPscience, 2010.

    DOI: 10.1088/0266-5611/26/8/085001
    online unter: http://iopscience.iop.org/0266-5611/26/8/085001

  109. S. Chen, D. Wassel, C. Büskens.
    High-Precision Modeling, Simulation and Optimization of Cogeneration Plants.
    Energy Technology, Special Issue: Energy, Science & Technology Conference, 4: 177-186, WILEY-VCH, 2016.

    DOI: 10.1002/ente.201500244

  110. J. Clemens, T. Kluth, T. Reineking.
    β - SLAM: Simultaneous Localization an Grid Mapping with Beta Distributions.
    Information Fusion, 52:62-75, Elsevier, 2019.

    DOI: 10.1016/j.inffus.2018.11.005

  111. C. Bellis, A. Constantinescu, T. Coquet, T. Jaravel, A. Lechleiter.
    A non-iterative sampling approach using noise subspace projection for EIT .
    Inverse Problems, 28, 075015, IOPscience, 2012.

    DOI: doi:10.1088/0266-5611/28/7/075015
    online unter: Link

  112. Y. Cordero Hernandez, T. Boskamp, R. Casadonte, L. Hauberg-Lotte, J. Oetjen, D. Lachmund, A. Peter, D. Trede, K. Kriegsmann, M. Kriegsmann, J. Kriegsmann, P. Maaß.
    Targeted Feature Extraction in MALDI Mass Spectrometry Imaging to Discriminate Proteomic Profiles of Breast and Ovarian Cancer.
    Proteomics - Clinical Applications, 1700168 , Wiley, 2018.

    DOI: 10.1002/prca.201700168

  113. A. C. Crecelius, F. Alexandrov, U. S. Schubert.
    Application of MALDI-MSI for photolithographic structuring.
    Analytical Chemistry, 84(16):6921-6925, 2012.

    DOI: 10.1021/ac301616v

  114. A. C. Crecelius, F. Alexandrov, U. S. Schubert.
    Application of MALDI-MSI to monitor surface changes of UV irradiated poly(styrene) films.
    Rapid Communications in Mass Spectrometry, 25(19):2809-14, 2011.

    DOI: 10.1002/rcm.5164

  115. A. C. Crecelius, F. Alexandrov, U. S. Schubert.
    Application of MALDI-MSI to monitor surface changes of UV irradiated poly(styrene) films.
    Research Letters in Signal Processing, 25(19):2809-14.
  116. W. Czaja, E. King.
    Anistropic shearlet transforms for L²(ℝk).
    Mathematische Nachrichten, 287(8):903-916, 2014.

    DOI: 10.1002/mana.201000035

  117. W. Czaja, E. King.
    Isotropic shearlet analogs for L²(ℝk) and localization operators.
    Numerical Functional Analysis and Optimization, 33:872-905, 2012.

    DOI: 10.1080/01630563.2012.682137

  118. T. Dabrowski, A. Struck, D. Fenske, P. Maaß, L. Colombi Ciacchi.
    Optimization of Catalytically Active Sites Positioning in Porous Cathodes of Lithium/Air Batteries Filled with Different Electrolytes.
    Journal of The Electrochemical Society, 162(14):A2796-A2804, 2015.

    DOI: 10.1149/2.0861514jes

  119. S. Dahlke, U. Friedrich, P. Maaß, T. Raasch, R. Ressel.
    An adaptive wavelet solver for a nonlinear parameter identification problem for a parabolic differential equation with sparsity constraints.
    Journal of Inverse and Ill-posed Problems, 20(2):213-251, 2012.

    DOI: 10.1515/jip-2012-0013

  120. S. Dahlke, K. Gröchenig, P. Maaß.
    A new approach to interpolating scaling functions.
    Applicable Analysis - An International Journal, 72(3):485-500, 1999.

    DOI: 10.1080/00036819908840755

  121. S. Dahlke, G. Kutyniok, P. Maaß, C. Sagiv, H. Stark, G. Teschke.
    The uncertainty principle associated with the continuous shearlet transform.
    International Journal of Wavelets, Multiresolution and Information Processing, 6(2):157-181, 2008.

    DOI: 10.1142/S021969130800229X

  122. S. Dahlke, D. Lorenz, P. Maaß, C. Sagiv, G. Teschke.
    The Canonical Coherent States Associated With Quotients of the Affine Weyl-Heisenberg Group.
    Journal of Applied Functional Analysis, 3(2):215-232, 2008.
  123. S. Dahlke, P. Maaß.
    A Continuous Wavelet Transform on Tangent Bundles of Spheres.
    Journal of Fourier Analysis and Applications, 2(4):379-396, 1996.
  124. S. Dahlke, P. Maaß.
    A Note on Interpolating Scaling functions.
    Communications in Applied Analysis, 7(2):265-275, 2003.
  125. S. Dahlke, P. Maaß.
    Continuous Wavelet Transforms with Applications to Analyzing Functions on Sheres.
    Journal of Fourier Analysis and Applications, 2(4):379-396, 1995.
  126. S. Dahlke, P. Maaß.
    Interpolating Refinable Functions And Wavelets For General Scaling Matrices.
    Numerical Functional Analysis and Optimization, 18(5):521-539, Taylor & Francis, 1997.

    DOI: 10.1080/01630569708816776

  127. S. Dahlke, P. Maaß, G. Teschke.
    Interpolating Scaling Functions with Duals.
    Journal of Computational Analysis and Application, 5(3):361-373, 2003.
  128. S. Dahlke, P. Maaß, G. Teschke.
    Reconstruction of radar reflectivity densities in a narrowband regime.
    IEEE Transactions on Antennas and Propagation, 52(6):1603-1606, 2004.

    DOI: 10.1109/TAP.2004.829409

  129. S. Dahlke, P. Maaß.
    The Affine Uncertainty Principle in One and Two Dimensions.
    Computers & Mathematics with Applications, 30(3):293-305, 1995.

    DOI: 10.1016/0898-1221(95)00108-5

  130. S. Dashkovskiy.
    Anisotropic function spaces and related semi-linear hypoelliptic equations .
    Mathematische Nachrichten, 248:40-61, 2003.

    online unter: http://www.math.uni-bremen.de/~dsn/Publications/MathNachr03.pdf

  131. S. Dashkovskiy.
    Application of the Q-method to equations related to fractals.
    , 30:37-47, 2002.

    online unter: http://www.math.uni-bremen.de/~dsn/Publications/Poznan%27.ps

  132. S. Dashkovskiy.
    Torsional waves in the elastic tube with limited compliance of the boundary.
    Moscow University Mechanics Bulletin, 52(4):9-12, Springer Verlag, 1997.
  133. S. Dashkovskiy, M. Böhm.
    Finite thermoplasticity with phase changes based on isomorphisms.
    International Journal of Plasticity, 20:323-334, 2004.

    online unter: http://www.math.uni-bremen.de/~dsn/Publications/IJP.pdf

  134. S. Dashkovskiy, M. Böhm.
    Modeling of elastoplastic materials with phase changes.
    Journal de Physique, 4(120):153-160, 2004.
  135. S. Dashkovskiy, M. Böhm.
    Objective modeling of some elastoplastic materials with phase changes.
    Journal de Physique, 4(120):153-160, 2004.

    online unter: http://www.math.uni-bremen.de/~dsn/Publications/Nancy.ps

  136. S. Dashkovskiy, D. Efimov, E. Sontag.
    Input to State Stability and Allied System Properties.
    Automation and Remote Control, 72(8), 1579–1614, 2011.
  137. S. Dashkovskiy, M. Görges, L. Naujok.
    Autonomous control methods in logistics - a mathematical perspective.
    Applied Mathematical Modelling, 36(7):2947-2960, Elsevier, 2012.
  138. S. Dashkovskiy, M. Görges, M. Kosmykov, A. Mironchenko, L. Naujok.
    Modeling and stability analysis of autonomously controlled production networks.
    Logistics Research, 3(2):145-157, Springer Verlag, 2011.

    DOI: 10.1007/s12159-011-0049-6
    online unter: http://www.springerlink.com/content/12nm645q18k27673/

  139. S. Dashkovskiy, H. Ito, F. Wirth.
    On a small gain theorem for ISS networks in dissipative Lyapunov form.
    European Journal of Control, 17(4):357-365, 2011.

    online unter: http://ejc.revuesonline.com/article.jsp?articleId=16472

  140. S. Dashkovskiy, M. Kosmykov.
    A Lyapunov-Razumikhin approach for stability analysis of logistics networks with time-delays.
    International Journal of Systems Science, 43(5), 845–853, Taylor & Francis, 2012.

    DOI: 10.1080/00207721.2010.528179
    online unter: http://www.tandfonline.com/doi/pdf/10.1080/00207721.2010.528179

  141. S. Dashkovskiy, M. Kosmykov.
    Stability analysis of logistics networks with time-delays.
    Erscheint in Production Planning & Control

    DOI: 10.1080/09537287.2012.659867
    online unter: http://www.tandfonline.com/doi/abs/10.1080/09537287.2012.659867

  142. S. Dashkovskiy, M. Kosmykov, F. Wirth.
    A small gain condition for interconnections of ISS systems with mixed ISS characterizations.
    IEEE Transactions on Automatic Control, 56(6):1247-1258, 2011.

    online unter: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5585718&tag=1

  143. S. Dashkovskiy, M. Kosmykov, A. Mironchenko, L. Naujok.
    Stability of interconnected impulsive systems with and without time-delays using Lyapunov methods.
    Nonlinear Analysis: Hybrid Systems, 6(3):899-915, Elsevier, 2012.

    online unter: http://www.sciencedirect.com/science/article/pii/S1751570X12000039

  144. S. Dashkovskiy, H. Kreowski, S. Kuske, A. Mironchenko, L. Naujok, C. von Totth.
    Production Networks as Communities of Autonomous Units and Their Stability.
    International Electronic Journal of Pure and Applied Mathematics, 2(1):17-42, 2010.
  145. S. Dashkovskiy, A. Narimanyan.
    Thermal Plasma Cutting. Part I: Modified Mathematical Model.
    Mathematical Modelling and Analysis, 12(4):441-458, 2007.

    online unter: http://www.math.uni-bremen.de/~dsn/Publications/Plasma-1.pdf

  146. S. Dashkovskiy, L. Naujok.
    ISDS small-gain theorem and construction of ISDS Lyapunov functions for interconnected systems.
    Systems & Control Letters, 59(5):299-304, Elsevier, 2010.

    online unter: http://www.math.uni-bremen.de/zetem/cms/media.php/256/ISDSPaperCorrectedSubmittedtoJournal.pdf

  147. S. Dashkovskiy, S. Pavlichkov.
    Adding an integrator and uniform ISS stabilization for switched MIMO triangular systems with unknown switched signal and right invertible input-output maps.
    Kharkov University Vestnik , 931:99-112, 2010.

    online unter: http://vestnik-math.univer.kharkov.ua/Vestnik-KhNU-931-2010-pavlichkov.pdf

  148. S. Dashkovskiy, S. Pavlichkov.
    Backstepping for nonsmooth MIMO nonlinear Volterra systems with noninvertible input-output maps and controllability of their large-scale interconnections.
    Nonlinear Dynamics and Systems Theory, 11(4):411-424, 2011.

    online unter: http://sunrise-0014438.e-ndst.kiev.ua/v11n4/V11N4.pdf#page=79

  149. S. Dashkovskiy, B. Rüffer, F. Wirth.
    An ISS Small Gain Theorem for General Networks.
    Mathematics of Control, Signals and Systems, 19(2):93-122, 2007.

    online unter: http://www.math.uni-bremen.de/~dsn/Publications/MCSS.pdf

  150. S. Dashkovskiy, B. Rüffer.
    Local ISS of large-scale interconnections and estimates for stability regions.
    Systems & Control Letters, 59(3):241-247, Elsevier, 2010.

    online unter: http://www.sciencedirect.com/.../sdarticle.pdf

  151. S. Dashkovskiy, B. Rüffer, F. Wirth.
    Small gain theorems for large scale systems and construction of ISS Lyapunov functions.
    SIAM Journal on Control and Optimization, 48(6):4089-4118, 2010.

    online unter: http://www.math.uni-bremen.de/~dsn/Publications/Original/2010-SICON.pdf

  152. S. Dashkovskiy, B. Suhr, K. Tushtev, G. Grathwohl.
    Nacre properties in the elastic range. Influence of the matrix incompressibility.
    Computational Materials Science, 41:96-106, Elsevier, 2007.

    online unter: http://www.math.uni-bremen.de/~dsn/Publications/nacre_elsevier6.pdf

  153. K. Demertzis, L. Iliadis, I. Bougoudis.
    Gryphon: a semi-supervised anomaly detection system based on one-class evolving spiking neural network.
    Neural Computing and Applications, , Springer Verlag, 2019.

    DOI: 10.1007/s00521-019-04363-x

  154. L. Denis, D. Lorenz, D. Trede.
    Greedy Solution of Ill-Posed Problems: Error Bounds and Exact Inversion.
    Inverse Problems, 25(11), 115017(24pp), 2009.

    DOI: 10.1088/0266-5611/25/11/115017
    online unter: arXiv.org e-Print archive

  155. L. Denis, D. Lorenz, E. Thiébaut, C. Fournier, D. Trede.
    Inline hologram reconstruction with sparsity constraints.
    Optics Letters, 34(22):3475-3477, 2009.

    DOI: 10.1364/OL.34.003475
    online unter: HAL (Hyper Articles en Ligne) open archive

  156. B. Denkena, J. Vehmeyer, D. Niederwestberg, P. Maaß.
    Identification of the specific cutting force for geometrically defined cutting edges and varying cutting conditions.
    International Journal of Machine Tools and Manufacture, 82:42-49, 2014.

    DOI: 10.1016/j.ijmachtools.2014.03.009

  157. A. Denker, M. Schmidt, J. Leuschner, P. Maaß.
    Conditional Invertible Neural Networks for Medical Imaging .
    MDPI Journal of Imaging, Inverse Problems and Imaging 7(11), 243 S., 2021.

    DOI: 10.3390/jimaging7110243

  158. K. Dethloff, A. Weisheimer, A. Rinke, D. Handorf, M. V. Kurgansky, W. Jansen, P. Maaß, P. Hupfer.
    Climate variability in a nonlinear atmosphere-like dynamical system.
    Journal of Geophysical Research, 103:25957-25966, 1998.

    DOI: 10.1029/98JD02306

  159. S. Devaux, D. Cizkova, J. Quanico, J. Franck, S. Nataf, L. Pays, L. Hauberg-Lotte, P. Maaß, J. H. Kobarg, F. Kobeissy, C. Mériaux, M. Wisztorski, L. Slovinska, J. Blasko, V. Cigankova, I. Fournier, M. Salzet.
    Proteomic Analysis of the Spatio-temporal Based Molecular Kinetics of Acute Spinal Cord Injury Identifies a Time- and Segment-specific Window for Effectife Tissue Repair.
    Molecular & Cellular Proteomics, 15:2641-2670, 2016.

    DOI: 10.1074/mcp.M115.057794

  160. T. Dewenter, W. Heins, B. Werther, A. Hartmann, C. Bohn, H. Beck.
    Parameter Optimization of a Virtual Synchronous Machine in a Microgrid.
    International Journal of Power and Energy Systems, 36(4):129-137, 2016.

    online unter: http://www.actapress.com/PDFViewer.aspx?paperId=45446

  161. P. di Stolfo, A. Rademacher, A. Schröder.
    Dual weighted residual error estimation for the finite cell method.
    Journal of Numerical Mathematics, 27(2):101-122, 2019.
  162. V. Dicken, P. Maaß, R. Ramlau, A. Rienaecker, C. Streller.
    Inverse Imbalance Reconstruction in Rotordynamics.
    ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 86(5):385-399, WILEY-VCH, 2006.

    DOI: 10.1002/zamm.200410248

  163. V. Dicken, P. Maaß, I. Menz, J. Niebsch, R. Ramlau.
    Nonlinear inverse unbalance reconstruction in rotor dynamics.
    Inverse Problems in Science and Engineering, 13(5):507-543, 2005.
  164. V. Dicken, P. Maaß.
    Wavelet-Galerkin Methods for Ill-posed Problems.
    Journal of Inverse and Ill-posed Problems, 4(3):203-222, 1996.
  165. D. Dissard, G. J. Reichert, C. Menkes, M. Mangeas, S. Frickenhaus, J. Bijma.
    Mg∕Ca, Sr∕Ca and stable isotopes from the planktonic foraminifera T. sacculifer: testing a multi-proxy approach for inferring paleotemperature and paleosalinity.
    Biogeosciences, 18(2):423-439, 2021.

    DOI: 10.5194/bg-18-423-2021

  166. Y. Disser, J. Fearnley, M. Gairing, O. Göbel, M. Klimm, D. Schmand, A. Skopalik, A. Tönnis.
    Hiring Secretaries over Time: The Benefit of Concurrent Employment.
    Mathematics of Operations Research, 45(1):323-352, 2020.

    DOI: 10.1287/moor.2019.0993

  167. S. Dittmer, E. King, P. Maaß.
    Singular values for ReLU layers.
    IEEE Transactions on Neural Networks and Learning Systems, Article , 2019.

    online unter: https://ieeexplore.ieee.org/document/8891761

  168. S. Dittmer, T. Kluth, M. Henriksen, P. Maaß.
    Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset.
    International Journal on Magnetic Particle Imaging, 7(1), 2021.

    online unter: https://journal.iwmpi.org/index.php/iwmpi/article/view/148

  169. S. Dittmer, C. Schönlieb, P. Maaß.
    Ground Truth Free Denoising by Optimal Transport.
    Erscheint in Numerical Algebra, Control, and Optimization

    online unter: https://arxiv.org/abs/2007.01575

  170. S. Dobberschütz.
    Homogenization of a diffusion-reaction system with surface exchange and evolving hypersurface.
    Mathematical Methods in the Applied Sciences, 38(3):559-579, Wiley, 2014.

    DOI: 10.1002/mma.3089

  171. S. Dobberschütz, M. Böhm.
    A Periodic Unfolding operator on certain compact Riemannian manifolds.
    Comptes Rendus de l'Académie des Sciences. Série I. Mathématique, 350, 1027– 1030, Elsevier, 2012.
  172. S. Dobberschütz, M. Böhm.
    A transformation approach for the derivation of boundary conditions between a curved porous medium and a free fluid.
    Comptes Rendus Mecanique, 338:71-77, Elsevier, 2010.

    DOI: 10.1016/j.crme.2010.02.001

  173. S. Dobberschütz, M. Böhm.
    The construction of periodic unfolding operators on some compact Riemannian manifolds.
    Advances in Pure and Applied Mathematics, 5(1):31-45, 2014.

    DOI: 10.1515/apam-2013-0013

  174. I. Dominguez Lacasa, M. Shubbak.
    Drifting towards innovation: The co-evolution of patent networks, policy, and institutions.
    Energy Research & Social Science, 38:87-101, 2018.

    DOI: https://doi.org/10.1016/j.erss.2018.01.012
    online unter: https://www.sciencedirect.com/science/article/pii/S2214629618300720

  175. I. Dominguez Lacasa, B. Jindra, S. Radosevic, M. Shubbak.
    Paths of technology upgrading in the BRICS economies.
    Research Policy, 48(1):262-280, 2019.

    DOI: 10.1016/j.respol.2018.08.016
    online unter: https://www.sciencedirect.com/science/article/pii/S0048733318302038

  176. L. Duflot, R. Reisenhofer, B. Tamadazte, N. Andreff, A. Krupa.
    Wavelet and Shearlet-Based Image Representations for Visual Servoing.
    International Journal of Robotics Research, , 2018.

    DOI: https://doi.org/10.1177/0278364918769739

  177. M. Eden.
    Homogenization of a Moving Boundary Problem With Prescribed Normal Velocity.
    Advances in Mathematical Sciences and Applications, 28(1):313-341, 2019.
  178. M. Eden, M. Böhm.
    Homogenization of a poro-elasticity model coupled with diffusive transport and a first order reaction for concrete.
    Networks and Heterogeneous Media, 9(4):599-615, 2014.

    DOI: 10.3934/nhm.2014.9.599

  179. M. Eden, H. S. Mahato.
    Homogenization of a Poroelasticity Model for Fibre-Reinforced Hydrogels.
    Mathematical Methods in the Applied Sciences, Early view online , 2022.

    DOI: 10.1002/mma.8466

  180. M. Eden, A. Muntean, C. Nikolopoulos.
    A multiscale quasilinear system for colloids deposition in porousmedia: Weak solvability and numerical simulation of anear-clogging scenario.
    Nonlinear Analysis: Real World Applications, 63:1-29, Elsevier, 2021.

    DOI: 10.1016/j.nonrwa.2021.103408
    online unter: https://www.sciencedirect.com/science/article/pii/S1468121821001206?via%3Dihub

  181. M. Eden, A. Muntean.
    Corrector estimates for the homogenization of a two-scale thermoelasticity problem with a priori known phase transformations.
    Electronic Journal of Differential Equations , 2017(57):1-21, 2017.

    online unter: https://ejde.math.txstate.edu/Volumes/2017/57/eden.pdf

  182. M. Eden, A. Muntean.
    Homogenization of a fully coupled thermoelasticity problem for a highly heterogeneous medium with a priori known phase transformations.
    Mathematical Methods in the Applied Sciences, 40(11):3955-3972, 2017.

    DOI: 10.1002/mma.4276
    online unter: https://onlinelibrary.wiley.com/doi/epdf/10.1002/mma.4276

  183. A. Egozi, D. Eilot, P. Maaß, C. Sagiv.
    A robust estimation method for camera calibration with known rotation.
    Applied Mathematics, 6(9):1538-1552 , 2015.

    DOI: 10.4236/am.2015.69137

  184. M. Ehrhardt, H. Villinger, S. Schiffler.
    New Tools for Decomposition of Sea Floor Pressure Data.
    Computers & Geosciences, 45:4-12, Elsevier, 2012.

    DOI: 10.1016/j.cageo.2012.03.022
    online unter: http://dx.doi.org/10.1016/j.cageo.2012.03.022

  185. G. Ernst, O. Guntinas-Lichius, L. Hauberg-Lotte, D. Trede, M. Becker, F. Alexandrov, F. von Eggeling.
    Histomolecular interpretation of pleomorphic adenomas of the salivary gland by matrix-assisted laser desorption ionization imaging and spatial segmentation.
    Head & Neck, 37(7), 2014.

    DOI: 10.1002/hed.23713

  186. J. Ewert, P. Maaß.
    Local tomography in non-destructive testing.
    ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, ICIAM '95 - Sonderband 76:179-181, 1996.
  187. T. Faulwasser, K. Flaßkamp, S. Ober-Blöbaum, K. Worthmann.
    Towards Velocity Turnpikes in Optimal Control of Mechanical Systems.
    IFAC-PapersOnLine, 52(16), 11th IFAC Symposium on Nonlinear Control Systems, Vienna, Austria, 2019.

    DOI: 10.1016/j.ifacol.2019.12.009

  188. P. Fernsel.
    Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization.
    MDPI Journal of Imaging, 7(10), 2021.

    DOI: 10.3390/jimaging7100194
    online unter: https://www.mdpi.com/2313-433X/7/10/194

  189. P. Fernsel, P. Maaß.
    A Survey on Surrogate Approaches to Non-negative Matrix Factorization.
    Vietnam Journal of Mathematics, 46(4):987-1021, Springer Verlag, 2018.

    DOI: 10.1007/s10013-018-0315-x

  190. M. Fickus, J. Jasper, E. King, D. Mixon.
    Equiangular tight frames that contain regular simplices.
    Linear Algebra and its Applications, 555, 98–138 S., Elsevier, 2018.

    DOI: 10.1016/j.laa.2018.06.004

  191. K. Flaßkamp, A. Ansari, T. Murphey.
    Hybrid control for tracking of invariant manifolds.
    Nonlinear Analysis: Hybrid Systems, , 2016.
  192. K. Flaßkamp, S. Ober-Blöbaum, K. Worthmann.
    Symmetry and Motion Primitives in Model Predictive Control.
    Mathematics of Control, Signals and Systems, :1-31, Springer Verlag, 2019.

    DOI: 10.1007/s00498-019-00246-7

  193. K. Flaßkamp, J. Schultz, T. Murphey.
    Variational Integrators for Structure-Preserving Filtering.
    Journal of Computational and Nonlinear Dynamics, 12(2), 2016.

    DOI: 10.1115/1.4034728
    online unter: http://dx.doi.org/10.1115/1.4034728

  194. K. Flaßkamp, K. Worthmann, J. Mühlenhoff, C. Greiner-Petter, C. Büskens, J. Oertel, D. Keiner, T. Sattel.
    Towards Optimal Control of Concentric Tube Robots in Stereotactic Neurosurgery.
    Mathematical and Computer Modelling of Dynamical Systems, :560-574, 2019.

    DOI: 10.1080/13873954.2019.1690004

  195. F. Frerichs, T. Lübben, F. Hoffmann, H. Zoch, M. Wolff.
    Unvermeidbare Maßänderungen durch thermische Spannungen.
    Zeitschrift für Werkstoffe, Wärmebehandlung, Fertigung, 62(5):229-235, 2007.
  196. A. Frommer, P. Maaß.
    Fast CG-Based Methods for Tikhonov--Phillips Regularization.
    SIAM Journal on Scientific Computing, 20(5):1831-1850, 1999.

    DOI: 10.1137/S1064827596313310

  197. S. Geffken, C. Büskens.
    Feasibility refinement in sequential quadratic programming using parametric sensitivity analysis.
    Optimization Methods and Software, , Taylor & Francis, 2016.

    DOI: 10.1080/10556788.2016.1200045

  198. S. Geffken, M. Knauer, C. Büskens.
    Non-linear Optimisation in Space Engineering.
    Mathematics Today, October 2017 53(5):212-216, 2017.
  199. M. Gehre, T. Kluth, C. Sebu, P. Maaß.
    Sparse 3D reconstructions in electrical impedance tomography using real data.
    Inverse Problems in Science and Engineering, 22(1):31-44, Taylor & Francis, 2014.

    DOI: 10.1080/17415977.2013.827183

  200. M. Gehre, T. Kluth, A. Lipponen, B. Jin, A. Seppänen, J. P. Kaipio, P. Maaß.
    Sparsity Reconstruction in Electrical Impedance Tomography: An Experimental Evaluation.
    Journal of Computational and Applied Mathematics, 236(8):2126-2136, 2012.

    DOI: 10.1016/j.cam.2011.09.035

  201. J. Gehrt, R. Zweigel, S. Roy, C. Büskens, M. Kurowski, T. Jeinsch, A. Schubert, M. Gluch, O. Simanski, E. Pairet-Garcia, W. Bruhn, F. Diegel, D. Abel.
    Optimal Maneuvering and Control of Cooperative Vessels within Harbors.
    Journal of Physics, Conference Series, 1357(12019), 2019.

    DOI: 10.1088/1742-6596/1357/1/012019

  202. M. Gerdts, C. Büskens.
    Consistent Initialization of Sensitivity Matrices for a Class of Parametric DAE Systems .
    BIT Numerical Mathematics, 42(4):796-813, Springer Verlag, 2002.

    DOI: 10.1023/A:1021952420623

  203. T. Gerken.
    Dynamic Inverse Wave Problems – Part II: Operator Identification and Applications.
    Inverse Problems, 36(2), IOPscience, 2020.

    DOI: 10.1088/1361-6420/ab47f4
    online unter: https://iopscience.iop.org/article/10.1088/1361-6420/ab47f4

  204. T. Gerken, S. Grützner.
    Dynamic Inverse Wave Problems – Part I: Regularity for the Direct Problem.
    Inverse Problems, 36(2), IOPscience, 2020.

    DOI: 10.1088/1361-6420/ab47ec
    online unter: https://iopscience.iop.org/article/10.1088/1361-6420/ab47ec

  205. T. Gerken, A. Lechleiter.
    Reconstruction of a Time-dependent Potential from Wave Measurements.
    Inverse Problems, Article ID 094001 33(9), IOPscience, 2017.

    Ausgezeichnet als Highlight Paper

    DOI: 10.1088/1361-6420/aa7e07
    online unter: http://iopscience.iop.org/article/10.1088/1361-6420/aa7e07

  206. P. B. Gossiaux, J. Aichelin, C. Brandt, T. Gousset, S. Peigné.
    Energy loss of a heavy quark produced in a finite-size quark-gluon plasma.
    Journal of Physics G: Nuclear and Particle Physics, 34(8), 2007.

    DOI: 10.1088/0954-3899/34/8/S103

  207. C. Gottschalk, A. Koster, F. Liers, B. Peis, D. Schmand, A. Wierz.
    Robust flows over time: models and complexity results.
    Mathematical Programming, 171(1):55-85, 2018.

    DOI: 10.1007/s10107-017-1170-3

  208. S. Grützner, A. Muntean.
    Identifying processes governing damage evolution in quasi-static elasticity. Part 1 – Analysis.
    Advances in Mathematical Sciences and Applications, 30(2):305-334, 2021.

    online unter: https://mcm-www.jwu.ac.jp/~aikit/AMSA/pdf/abstract/2021/016_2021_top.pdf

  209. H. Haddar, A. Konschin.
    Factorization Method for Imaging a Local Perturbation in Inhomogeneous Periodic Layers from Far Field Measurements.
    Inverse Problems and Imaging, 14(1):133-152, 2020.

    DOI: 10.3934/ipi.2019067
    online unter: https://www.aimsciences.org/article/doi/10.3934/ipi.2019067

  210. H. Haddar, A. Lechleiter, S. Marmorat.
    An improved time domain linear sampling method for Robin and Neumann obstacles.
    Applicable Analysis - An International Journal, 93(2), 2014, Taylor & Francis, 2014.

    DOI: 10.1080/00036811.2013.772583
    online unter: Link

  211. H. Haddar, A. Lechleiter.
    Asymptotic models for scattering problems from unbounded media with high conductivity.
    ESAIM: Mathematical Modelling and Numerical Analysis, 44:1295-1317, 2010.

    DOI: 10.1051/m2an/2010029
    online unter: http://www.esaim-m2an.org/action/displayAbstract?fromPage=online&aid=8129349

  212. H. Haddar, A. Lechleiter.
    Electromagnetic wave scattering from rough penetrable layers.
    SIAM Journal on Mathematical Analysis, 43(5):2418-2443 , 2011.

    online unter: http://dx.doi.org/10.1137/100783613

  213. E. Hairer, P. Maaß.
    Numerical methods for singular nonlinear integro-differential equations .
    Applied Numerical Mathematics, 3(3):243-246, Elsevier, 1987.

    DOI: 10.1016/0168-9274(87)90051-1

  214. T. Harks, B. Peis, D. Schmand, B. Tauer, L. Vargas Koch.
    Competitive Packet Routing with Priority Lists.
    ACM Transactions on Economics and Computation, 6(1):4:1--4:26, 2018.

    DOI: 10.1145/3184137

  215. N. Hase, S. M. Miller, P. Maaß, J. Notholt, M. Palm, T. Warneke.
    Atmospheric Inverse Modeling via Sparse Reconstruction.
    Geoscientific Model Development (GMD), 10:3695-3713, 2017.

    DOI: 10.5194/gmd-10-3695-2017

  216. T. Hein, K. Kazimierski.
    Accelerated Landweber iteration in Banach spaces.
    Inverse Problems, 055002 26(5), 2010.
  217. E. Herrholz, D. Lorenz, G. Teschke, D. Trede.
    Sparsity and Compressed Sensing in Inverse Problems.
    Lecture Notes in Computational Science and Engineering, 102:365-379, Springer Verlag, 2014.

    DOI: 10.1007/978-3-319-08159-5_18

  218. A. Hinrichs, M. Piotrowski.
    On the degree of compactness of embeddings between weighted modulation spaces.
    , 6(3):303-317, 2008.
  219. D. Hömberg, Q. Liu, J. Montalvo Urquizo, D. Nadolski, T. Petzold, A. Schmidt, A. Schulz.
    Simulation of multi-frequency-induction-hardening including phase transitions and mechanical effects.
    Finite Elements in Analysis and Design, Vol 121:86-100, Elsevier, 2016.
  220. M. Höpker.
    Sharp Interface Limit of a Homogenized Phase Field Model for Phase Transitions in Porous Media.
    Electronic Journal of Diff erential Equations, 2016(258):1-8, 2016.

    online unter: http://ejde.math.txstate.edu/Volumes/2016/258/abstr.html

  221. M. Höpker, M. Böhm.
    A note on the existence of extension operators for Sobolev spaces on periodic domains.
    Comptes Rendus Mathematique, 352(10):807-810, Elsevier, 2014.

    DOI: 10.1016/j.crma.2014.09.002

  222. F. Hoffmann, J. M. Lotz, J. Lotz, S. Heldmann, D. Trede, J. Oetjen, M. Becker, G. Ernst, P. Maaß, F. Alexandrov, O. Guntinas-Lichius, H. Thiele, F. von Eggeling.
    Integration of 3D multimodal imaging data of a head and neck cancer and advanced feature recognition.
    BBA - Proteins and Proteomics, , 2016.

    DOI: 10.1016/j.bbapap.2016.08.018

  223. B. Jacob, B. Jin, T. Khan, P. Maaß.
    Optimal Source for Maximum Distinguishability in Optical Imaging.
    Journal of Applied Functional Analysis, 7(4):394-412, 2012.
  224. M. Jahn, A. Luttmann, A. Schmidt, J. Paul.
    Finite element methods for problems with solid-liquid-solid phase transitions and free melt surface.
    PAMM, 12(1):403-404, Wiley, 2012.

    DOI: 10.1002/pamm.201210190
    online unter: http://onlinelibrary.wiley.com/doi/10.1002/pamm.201210190/abstract

  225. M. Jahn, J. Montalvo Urquizo.
    Modeling and simulation of keyhole-based welding as multi-domain problem using the extended finite element method.
    Applied Mathematical Modelling, 82:731-747, Elsevier, 2020.
  226. C. Janßen, T. Boskamp, L. Hauberg-Lotte, J. Behrmann, S. Deininger, M. Kriegsmann, K. Kriegsmann, G. Steinbuß, H. Winter, T. Muley, R. Casadonte, J. Kriegsmann, P. Maaß.
    Robust subtyping of non-small cell lung cancer whole sections through MALDI mass spectrometry imaging.
    Proteomics - Clinical Applications, PRCA2208 , 2022.

    DOI: 10.1002/prca.202100068

  227. A. Janz, J. Schramm, M. Echim, F. Schrödel, C. Büskens.
    Model Based Path Optimization for Valet Parking with Trailer.
    IFAC-PapersOnLine, 52(5):85-90, Elsevier, 2019.

    DOI: https://doi.org/10.1016/j.ifacol.2019.09.014

  228. M. Jiang, P. Maaß, T. Page.
    Regularizing properties of the Mumford-Shah functional for imaging applications.
    Inverse Problems, 30(3), 035007 , 2014.

    Ausgezeichnet als Highlight Paper

    DOI: 10.1088/0266-5611/30/3/035007

  229. Z. Jiang, H. Haddar, A. Lechleiter, M. El Guedri.
    Identification of magnetic deposits in 2-D axisymmetric eddy current models via shape optimization.
    Inverse Problems in Science and Engineering, 24(8):1385-1410, Taylor & Francis, 2016.

    DOI: 10.1080/17415977.2015.1110581
    online unter: Link

  230. Z. Jiang, A. Lechleiter.
    Computing Interior Eigenvalues of Domains from Far Fields.
    IMA Journal of Numerical Analysis, 36:1452-1476, 2015.
  231. B. Jin, T. Khan, P. Maaß.
    A reconstruction algorithm for electrical impedance tomography based on sparsity regularization .
    International Journal for Numerical Methods in Engineering, 89(3):337-353, 2012.

    DOI: 10.1002/nme.3247

  232. B. Jin, T. Khan, P. Maaß, M. Pidcock.
    Function Spaces and Optimal Currents in Impedance Tomography.
    Journal of Inverse and Ill-posed Problems, 19(1):25-48, 2011.

    DOI: 10.1515/JIIP.2011.022, /May/2011

  233. B. Jin, D. Lorenz, S. Schiffler.
    Elastic-Net Regularization: Error estimates and Active Set Methods.
    Inverse Problems, 25(11), 2009.

    DOI: 10.1088/0266-5611/25/11/115022

  234. B. Jin, P. Maaß.
    An analysis of electrical impedance tomography with applications to Tikhonov regularization.
    ESAIM: Control, Optimisation and Calculus of Variations, 18(4):1027-1048, 2012.

    DOI: 10.1051/cocv/2011193

  235. B. Jin, P. Maaß.
    Sparsity regularization for parameter identification problems.
    Inverse Problems, 123001 28(12), IOPscience, 2012.

    Ausgezeichnet als Highlight Paper

    DOI: 10.1088/0266-5611/28/12/123001

  236. H. Karbalaali, A. Javaherian, S. Dahlke, R. Reisenhofer, S. Torabi.
    Seismic Channel Edge Detection Using 3D Shearlets - A Study on Synthetic and Real Channelized 3D Seismic Data.
    Geophysical Prospecting, 66:1272-1289, 2018.

    DOI: 10.1111/1365-2478.12629

  237. S. Dashkovskiy, N. A. Duffie.
    Delay-Dependent Stability Analysis for Large Scale Production Networks of Autonomous Work Systems.
    International Journal of Nonlinear Dynamics and Systems Theory, 10(1):55-63, 2010.

    online unter: http://www.math.uni-bremen.de/~dsn/Publications/2010-NDST-KaDaDu.pdf

  238. N. A. Duffie, S. Dashkovskiy.
    Local Capacity H∞ Control for Production Networks of Autonomous Work Systems with Time-Varying Delays.
    IEEE Transactions on Automation Science and Engineering, 7(4):849-857, 2010.
  239. P. Maaß.
    A convex optimization approach to robust observer-based H∞ control design of linear parameter-varying delayed systems.
    International Journal of Modelling, Identification and Control, 4(3):226-241, 2008.

    DOI: 10.1504/IJMIC.2008.021160

  240. P. Maaß.
    Delay-range-dependent exponential H∞ synchronization of a class of delayed neural networks.
    Chaos, Solitons and Fractals, 41(3):1125-1135, Elsevier, 2009.

    DOI: 10.1016/j.mcm.2009.05.038

  241. K. Kazimierski.
    Adaptive Mann iterations for nonlinear accretive and pseudocontractive operator equations.
    Mathematical Communications, 13(1):33-44, 2008.
  242. K. Kazimierski.
    Are adaptive Mann iterations really adaptive?
    Mathematical Communications, 14(2):399 - 412, 2009.
  243. K. Kazimierski.
    Minimization of the Tikhonov functional in Banach spaces smooth and convex of power type by steepest descent in the dual.
    Erscheint in Computational Optimization and Applications
  244. K. Kazimierski, P. Maaß, R. Strehlow.
    Norm sensitivity of sparsity regularization with respect to p.
    Inverse Problems, 104009 28(10), IOPscience, 2012.

    Ausgezeichnet als Highlight Paper

    DOI: 10.1088/0266-5611/28/10/104009

  245. K. Kazimierski, I. Piotrowska-Kurczewski, F. Böhmermann, O. Riemer.
    A statistical filtering method for denoising of micro-force measurements.
    The International Journal of Advanced Manufacturing Technology, , 1693–1704, Springer Verlag, 2016.

    DOI: 10.1007/s00170-016-8513-8
    online unter: http://link.springer.com/article/10.1007/s00170-016-8513-8

  246. A. Kemper, M. Wöbbekind, C. Büskens, M. Schollmeyer.
    LQR control for a Diesel engine's air system.
    PAMM, 13(1), 473–474 S., WILEY-VCH, 2013.

    DOI: 10.1002/pamm.201310229

  247. P. . Khazan , A. Barr, A. Luttmann, A. von Hehl, A. Schmidt, F. Vollertsen.
    Simulationsansatz zur Beurteilung der quasistatischen Festigkeit geschweißter Mischverbindungen.
    Schweißen und Schneiden, 65(8):500-503, DVS Media GmbH, 2013.
  248. E. King.
    Smooth parseval frames for L²(ℝ) and generalizations to L²(ℝd) .
    International Journal of Wavelets, Multiresolution and Information Processing, 11(6), World Scientific, 2013.

    DOI: 10.1142/S0219691313500471

  249. E. King, G. Kutyniok, X. Zhuang.
    Analysis of Inpainting via Clustered Sparsity and Microlocal Analysis.
    Journal of Mathematical Imaging and Vision, 48(2):205-234, Springer Verlag, 2014.

    DOI: 10.1007/s10851-013-0422-y

  250. E. King, M. Skopina.
    On biorthogonal p-adic wavelet bases.
    Notes of Scientific Seminars of the St. Petersburg Department of the Steklov Mathematical Institute, Russian Academy of Sciences, 455:67-83, 2017.

    English version in Journal of Mathematical Sciences, 234:158-169 (2018)

    DOI: 10.1007/s10958-018-3992-9
    online unter: ftp://ftp.pdmi.ras.ru/pub/publicat/znsl/v455/p067.pdf

  251. E. King, M. Skopina.
    Quincunx multiresolution analysis for L²(ℚ22).
    p-Adic Numbers, Ultrametric Analysis and Applications, 2(3):222-231, 2010.

    DOI: 10.1134/S2070046610030040

  252. P. Kirchgessner, L. Nerger, A. Bunse-Gerstner.
    On the choice of an optimal localization radius in ensemble Kalman filter methods.
    Monthly Weather Review, 142:2165-2175, AMS - American Meteorological Society, 2014.

    DOI: 10.1175/MWR-D-13-00246.1

  253. A. Kirsch, A. Lechleiter.
    A radiation condition arising from the limiting absorption principle for a closed full- or half-waveguide problem.
    Mathematical Methods in the Applied Sciences, 41(10):3955-3975, 2018.

    DOI: 10.1002/mma.4879

  254. A. Kirsch, A. Lechleiter.
    The inside–outside duality for scattering problems by inhomogeneous media.
    Inverse Problems, 29(10), 104011, IOPscience, 2013.

    DOI: doi:10.1088/0266-5611/29/10/104011
    online unter: Link

  255. A. Kirsch, A. Lechleiter.
    The limiting absorption principle and a radiation condition for the scattering by a periodic layer.
    SIAM Journal on Mathematical Analysis, 50(3):2536-2565, 2018.

    DOI: 10.1137/17M1118920

  256. A. Kirsch, A. Lechleiter.
    The operator equations of Lippmann-Schwinger type for acoustic and electromagnetic scattering problems in L^2.
    Applicable Analysis - An International Journal, 88:807-830, 2009.

    DOI: 10.1080/00036810903042125
    online unter: http://www.tandfonline.com/doi/abs/10.1080/00036810903042125

  257. E. Klann, D. Lorenz, P. Maaß, H. Thiele.
    Shrinkage versus Deconvolution.
    Inverse Problems, 23:2231-2248, 2007.

    DOI: 10.1088/0266-5611/23/5/025

  258. E. Klann, P. Maaß, R. Ramlau.
    Two-step regularization methods for linear invrse problems.
    Journal of Inverse and Ill-posed Problems, 14(6):583-607, 2006.

    DOI: 10.1515/156939406778474523

  259. O. Klein, F. Fogt, S. Hollerbach, G. Nebrich, T. Boskamp, A. Wellmann.
    Classification of Inflammatory Bowel Disease from Formalin‐Fixed, Paraffin‐Embedded Tissue Biopsies via Imaging Mass Spectrometry.
    Proteomics - Clinical Applications, 190131 , Wiley, 2020.

    DOI: 10.1002/prca.201900131

  260. O. Klein, K. Strohschein, G. Nebrich, J. Oetjen, D. Trede, H. Thiele, F. Alexandrov, P. Giavalisco, G. N. Duda, P. Roth von, S. Geissler, J. Klose, T. Winkler.
    MALDI imaging mass spectrometry: Discrimination of pathophysiological regions in traumatized skeletal muscle by characteristic peptide signatures.
    Proteomics, 14(20):2249-2260, 2014.

    DOI: 10.1002/pmic.201400088

  261. T. Kluth.
    Recent developments on system function/matrix representation, hybrid simulation techniques, and magnetic actuation.
    International Journal on Magnetic Particle Imaging, 6(1), 2020.

    DOI: https://journal.iwmpi.org/index.php/iwmpi/article/view/327

  262. T. Kluth, H. Albers.
    Simulation of non-linear magnetization effects and parameter identification problems in magnetic particle imaging.
    Erscheint in Oberwolfach Reports
  263. T. Kluth, C. Bathke, M. Jiang, P. Maaß.
    Joint super-resolution image reconstruction and parameter identification in imaging operator: Analysis of bilinear operator equations, numerical solution, and application to magnetic particle imaging.
    Inverse Problems, 36(12), 2020.

    DOI: https://doi.org/10.1088/1361-6420/abc2fe

  264. T. Kluth, B. Jin.
    Enhanced Reconstruction in Magnetic Particle Imaging by Whitening and Randomized SVD Approximation.
    Physics in Medicine and Biology, Article ID 125026 64(12), 2019.

    DOI: 10.1088/1361-6560/ab1a4f

  265. T. Kluth, B. Jin.
    L1 data fitting for robust reconstruction in magnetic particle imaging: quantitative evaluation on Open MPI dataset.
    International Journal on Magnetic Particle Imaging, , 2020.

    DOI: 10.18416/IJMPI.2020.2012001
    online unter: https://journal.iwmpi.org/index.php/iwmpi/article/view/146

  266. T. Kluth, B. Jin, G. Li.
    On the Degree of Ill-Posedness of Multi-Dimensional Magnetic Particle Imaging.
    Inverse Problems, 34(9), 2018.

    DOI: 10.1088/1361-6420/aad015

  267. T. Kluth, P. Maaß.
    Model uncertainty in magnetic particle imaging: Nonlinear problem formulation and model-based sparse reconstruction.
    International Journal on Magnetic Particle Imaging, Article ID 1707004 3(2), 10 pages, 2017.

    DOI: 10.18416/ijmpi.2017.1707004

  268. T. Kluth, P. Szwargulski, T. Knopp.
    Towards Accurate Modeling of the Multidimensional Magnetic Particle Imaging Physics.
    New Journal of Physics, Article ID 10303 21, 10 pp., 2019.

    online unter: https://iopscience.iop.org/article/10.1088/1367-2630/ab4938/pdf

  269. M. Knauer.
    Fast and save container cranes as bilevel optimal control problems.
    Mathematical and Computer Modelling of Dynamical Systems, , Taylor & Francis, 2011.

    DOI: 10.1080/13873954.2011.642388

  270. M. Knauer, C. Büskens.
    Processing User Input in Tracking Problems using Model Predictive Control.
    IFAC-PapersOnLine, 50(1):9846-9851, 2017.

    DOI: 10.1016/j.ifacol.2017.08.905

  271. J. H. Kobarg, P. Maaß, J. Oetjen, O. Tropp, E. Hirsch, C. Sagiv, M. Goldabaee, P. Vandergheynst.
    Numerical experiments with MALDI Imaging data.
    Advances in Computational Mathematics, 40(3):667-682, 2014.

    DOI: 10.1007/s10444-013-9325-0

  272. T. Köhler, P. Maaß, P. Wust, M. Seebass.
    A fast Algorithm to find optimal controls of multiantenna applicators in regional hyperthermia.
    Physics in Medicine and Biology, 46:2503-2514, IOPscience, 2001.

    DOI: 10.1088/0031-9155/46/9/318

  273. F. Kohlmai, V. Baumbach, C. Büskens, M. Knauer.
    Optimal routing of pipes in a virtual environment using nonlinear programming.
    International Journal of Fluid Power, , 2016.

    DOI: 10.1080/14399776.2016.1155945

  274. M. Komori, Y. Matsuyama, T. Nirasawa, H. Thiele, M. Becker, F. Alexandrov, T. Saida, M. Tanaka, H. Matsuo, H. Tomimoto, R. Takahashi, K. Tashiro, M. Ikegawa, T. Kondo.
    Proteomic pattern analysis discriminates among multiple sclerosis-related disorders.
    Annals of Neurology, 71(5):614-623, 2011.

    DOI: 10.1002/ana.22633

  275. A. Konschin.
    Electromagnetic wave scattering from locally perturbed periodic inhomogeneous layers.
    Erscheint in Mathematical Methods in the Applied Sciences

    DOI: 10.1002/mma.7680

  276. A. Konschin.
    Numerical Scheme for Electromagnetic Scattering on Perturbed Periodic Inhomogeneous Media and Reconstruction of the Perturbation.
    SIAM Journal on Scientific Computing, 43(3), 21 S., SIAM, 2021.

    DOI: 10.1137/20M1350716

  277. A. Konschin, A. Lechleiter.
    Reconstruction of a Local Perturbation in Inhomogeneous Periodic Layers from Partial Near Field Measurements.
    Inverse Problems, 35(11), 114006, IOPscience, 2019.

    DOI: 10.1088/1361-6420/ab1c66
    online unter: https://iopscience.iop.org/article/10.1088/1361-6420/ab1c66

  278. S. Kraft, M. Moser, C. Büskens, M. Echim.
    Echtzeitfähige Verbrennungssimulation eines Dual-Fuel-Motors für HiL-Anwendung.
    MTZ - Motortechnische Zeitschrift, 11, Springer Verlag, 2019.

    DOI: 10.1007/s35146-019-0115-1

  279. S. Kraft, M. Moser, C. Büskens, M. Echim.
    Real‑time capable combustion simulation of a dual‑fuel engine for hardware‑in‑the‑loop application.
    Heavy-Duty-, On- und Off-Highway-Motoren, :191-206, Springer Verlag, 2019.

    DOI: 10.1007/978-3-658-25889-4_12

  280. N. H. Kröger, M. Böhm, M. Wolff.
    Viscoelasticity within the framework of isothermal two-mechanism models.
    Computational Materials Science, 64:30-33, Elsevier, 2012.

    DOI: 10.1016/j.commatsci.2012.04.017
    online unter: http://dx.doi.org/10.1016/j.commatsci.2012.04.017

  281. N. H. Kröger, M. Wolff, M. Böhm.
    On mathematical problems for viscoelastic multi-mechanism models in the isothermal case.
    ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 96(5):550-569, 2016.

    DOI: 10.1002/zamm.201400171

  282. R. Kuhlmann.
    Learning to Steer Nonlinear Interior-Point Methods.
    EURO Journal on Computational Optimization, 7(4):381-419, 2019.

    DOI: 10.1007/s13675-019-00118-4

  283. R. Kuhlmann, C. Büskens.
    A Primal-Dual Augmented Lagrangian Penalty-Interior-Point Filter Line Search Algorithm.
    Mathematical Methods of Operations Research, 87(3):451-483, 2018.

    DOI: 10.1007/s00186-017-0625-x

  284. G. Kutyniok, W. Lim, R. Reisenhofer.
    ShearLab 3D: Faithful Digital Shearlet Transforms Based on Compactly Supported Shearlets.
    ACM Transactions on Mathematical Software (TOMS), 42(1):5:1-5:42, ACM, 2016.

    DOI: 10.1145/2740960
    online unter: http://doi.acm.org/10.1145/2740960

  285. M. Lachmann, J. Maldonado, W. Bergmann, F. Jung, M. Weber, C. Büskens.
    Self-Learning Data-Based Models as Basis of a Universally Applicable Energy Management System.
    Energies 2020, 13(8), 2084, 2020.

    DOI: 10.3390/en13082084

  286. M. Lagarrigue, F. Alexandrov, G. Dieuset, A. Perrin, R. Lavigne, S. Baulac, H. Thiele, B. Martin.
    A new analysis workflow for MALDI imaging mass spectrometry: application to the discovery and identification of potential markers of Childhood Absence Epilepsy.
    Journal of Proteome Research, 11(11):5453-5463, 2012.

    DOI: 10.1021/pr3006974

  287. E. Lakshtanov, A. Lechleiter.
    Difference Factorizations and Monotonicity in Inverse Medium Scattering for Contrasts with Fixed Sign on the Boundary .
    SIAM Journal on Mathematical Analysis, 48(6):3688-3707, SIAM, 2016.

    DOI: 10.1137/16M1060819
    online unter: Link

  288. A. S. Lawless, N. Nichols, C. Böß, A. Bunse-Gerstner.
    Approximate Gauss-Newton methods for optimal state estimation using reduced order models.
    International Journal for Numerical Methods in Fluids, 56(8), 1367–1373, 2008.

    DOI: 10.1002/fld.1629

  289. A. S. Lawless, N. Nichols, C. Böß, A. Bunse-Gerstner.
    Using model reduction methods within four-dimensional variational data-assimilation.
    Monthly Weather Review, 136, 1511–1522, AMS - American Meteorological Society, 2008.

    DOI: 10.1175/2007MWR2103.1

  290. J. Le Clerc Arrastia, N. Heilenkötter, D. Otero Baguer, L. Hauberg-Lotte, T. Boskamp, S. Hetzer, N. Duschner , J. Schaller , P. Maaß.
    Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma.
    MDPI Journal of Imaging, 71 7(4), Meisenbach Verlag, Bamberg, 2021.

    DOI: 10.3390/jimaging7040071

  291. A. Lechleiter.
    A regularization technique for the factorization method.
    Inverse Problems, 22:1605-1625, IOPscience, 2006.

    DOI: 10.1088/0266-5611/22/5/006
    online unter: http://iopscience.iop.org/0266-5611/22/5/006/

  292. A. Lechleiter.
    Explicit characterization of the support of non-linear inclusions.
    Inverse Problems and Imaging, 5:675-694, 2011.

    DOI: 10.3934/ipi.2011.5.675
    online unter: http://aimsciences.org/journals/displayArticlesnew.jsp?paperID=6426

  293. A. Lechleiter.
    Imaging of Periodic Dielectrics.
    BIT Numerical Mathematics, 50:59-83, 2010.

    DOI: 10.1007/s10543-010-0255-7
    online unter: http://www.springerlink.com/content/xt301t52307v6003/

  294. A. Lechleiter.
    The factorization method is independent of transmission eigenvalues.
    Inverse Problems and Imaging, 3:123-138, 2009.

    DOI: 10.3934/ipi.2009.3.123
    online unter: http://www.aimsciences.org/journals/displayArticles.jsp?paperID=3966

  295. A. Lechleiter.
    The Floquet-Bloch Transform and Scattering from Locally Perturbed Periodic Surfaces.
    Journal of Mathematical Analysis and Applications, 446(1):605-627, 2017.

    online unter: http://arxiv.org/abs/1602.03349

  296. A. Lechleiter.
    The MUSIC Algorithm for Impedance Tomography of Small Inclusions from Discrete Data.
    Inverse Problems, 31(9), 095004, IOPscience, 2015.

    DOI: 10.1088/0266-5611/31/9/095004
    online unter: Link

  297. A. Lechleiter, H. Haddar, Z. Jiang.
    Artificial boundary conditions for axisymmetric eddy current probe problems.
    Computers & Mathematics with Applications, 68(12):1844-1870, 2014.

    DOI: doi:10.1016/j.camwa.2014.10.008
    online unter: Link

  298. A. Lechleiter, N. Hyvönen, H. Hakula.
    The factorization method applied to the complete electrode model of impedance tomography.
    SIAM Journal on Applied Mathematics, 68:1097-1121, 2008.

    DOI: 10.1137/070683295
    online unter: http://dx.doi.org/10.1137/070683295

  299. A. Lechleiter, K. Kazimierski, M. Karamehmedovic.
    Tikhonov regularization in L^p applied to inverse medium scattering.
    Inverse Problems, 29, 075003, IOPscience, 2013.

    DOI: doi:10.1088/0266-5611/29/7/075003
    online unter: Link

  300. A. Lechleiter, D. Nguyen.
    A Trigonometric Galerkin Method for Volume Integral Equations Arising in TM Grating Scattering.
    Advances in Computational Mathematics, 40(1):1-25, Springer Verlag, 2014.

    DOI: 10.1007/s10444-013-9295-2
    online unter: Link

  301. A. Lechleiter, D. L. Nguyen.
    Factorization Method for Electromagnetic Inverse Scattering from Biperiodic Structures.
    SIAM Journal on Imaging Sciences, 6(2):1111-1139, SIAM, 2013.

    DOI: 10.1137/120903968
    online unter: Link

  302. A. Lechleiter, D. L. Nguyen.
    On Uniqueness in Electromagnetic Scattering from Biperiodic Structures .
    ESAIM: Mathematical Modelling and Numerical Analysis, 47:1167-1184, 2013.

    DOI: 10.1051/m2an/2012063
    online unter: Link

  303. A. Lechleiter, D. Nguyen.
    Scattering of Herglotz waves from periodic structures and mapping properties of the Bloch transform.
    Proceedings of the Royal Society of Edinburgh, Section: A Mathematics , 145(6):1283-1311, 2015.

    DOI: 10.1017/S0308210515000335

  304. A. Lechleiter, D. L. Nguyen.
    Spectral volumetric integral equation methods for acoustic medium scattering in a planar homogeneous 3D waveguide.
    IMA Journal of Numerical Analysis, 32(3):813-844, 2012.

    DOI: 10.1093/imanum/drr036
    online unter: Link

  305. A. Lechleiter, D. L. Nguyen.
    Volume Integral Equations for Scattering from Anisotropic Diffraction Gratings.
    Mathematical Methods in the Applied Sciences, 36(3), 262–274 S., 2013.

    DOI: 10.1002/mma.2585
    online unter: http://onlinelibrary.wiley.com/doi/10.1002/mma.2585/abstract

  306. A. Lechleiter, S. Peters.
    Analytical Characterization and Numerical Approximation of Interior Eigenvalues for Impenetrable Scatterers from Far Fields.
    Inverse Problems, 4(30), 045006, IOPscience, 2014.

    DOI: 10.1088/0266-5611/30/4/045006
    online unter: Link

  307. A. Lechleiter, S. Peters.
    Determining transmission eigenvalues of anisotropic inhomogeneous media from far field data.
    Communications in Mathematical Sciences, 13(7), 1803 – 1827, International Press, Boston, Massachusetts, USA, 2015.

    DOI: 10.4310/CMS.2015.v13.n7.a8
    online unter: http://www.intlpress.com/site/pub/pages/journals/items/cms/content/vols/0013/0007/a008/

  308. A. Lechleiter, M. Rennoch.
    Inside-outside duality and the determination of electromagnetic interior transmission eigenvalues.
    SIAM Journal on Mathematical Analysis, 47(1):684-705, SIAM, 2015.

    DOI: 10.1137/14098538X
    online unter: Link

  309. A. Lechleiter, M. Rennoch.
    Non-linear Tikhonov Regularization in Banach Spaces for Inverse Scattering from Anisotropic Penetrable Media.
    Inverse Problems and Imaging, 11(1):151-176, 2017.

    DOI: 10.3934/ipi.2017008

  310. A. Lechleiter, A. Rieder.
    Newton regularizations for impedance tomography: a numerical study.
    Inverse Problems, 22:1967-1987, IOPscience, 2006.

    DOI: doi:10.1088/0266-5611/22/6/004
    online unter: http://iopscience.iop.org/0266-5611/22/6/004

  311. A. Lechleiter, A. Rieder.
    Newton regularizations for impedance tomography: convergence by local injectivity.
    Inverse Problems, 24, 065009, IOPscience, 2008.

    DOI: 10.1088/0266-5611/24/6/065009
    online unter: http://iopscience.iop.org/0266-5611/24/6/065009

  312. A. Lechleiter, A. Rieder.
    Towards a general convergence theory for inexact Newton regularizations.
    Numerische Mathematik, 114:521-548, 2010.

    DOI: 10.1007/s00211-009-0256-0
    online unter: http://www.springerlink.com/content/hg8n3tq067143166/

  313. A. Lechleiter, T. Rienmüller.
    Collocation discretization for an integral equation in ocean acoustics with depth-dependent speed of sound.
    Mathematical Methods in the Applied Sciences, 40(5):1608-1624, Wiley, 2017.

    DOI: 10.1002/mma.4082

  314. A. Lechleiter, T. Rienmüller.
    Factorization Method for the Inverse Stokes Problem.
    Inverse Problems and Imaging, 7(4):1271-1293, 2013.

    DOI: doi:10.3934/ipi.2013.7.1271
    online unter: Link

  315. A. Lechleiter, T. Rienmüller.
    Time-Harmonic Acoustic Wave Scattering in an Ocean with Depth-Dependent Sound Speed.
    Applicable Analysis - An International Journal, 95:978-999, 2015.

    DOI: 10.1080/00036811.2015.1047831

  316. A. Lechleiter, S. Ritterbusch.
    A variational method for scattering from penetrable rough layers.
    IMA Journal of Applied Mathematics, 75:366-391, 2010.

    DOI: 10.1093/imamat/hxp040
    online unter: http://imamat.oxfordjournals.org/content/75/3/366

  317. A. Lechleiter, J. Schlasche.
    Identifying Lame Parameters from Time-dependent Elastic Wave Measurements.
    Inverse Problems in Science and Engineering, 25(1):2-26, 2016.

    DOI: 10.1080/17415977.2015.1132713

  318. A. Lechleiter, R. Zhang.
    A Convergent Numerical Scheme for Scattering of Aperiodic Waves from Periodic Surfaces Based on the Floquet-Bloch Transform.
    SIAM Journal on Numerical Analysis, 55(2):713-736, 2017.

    DOI: 10.1137/16M1067524

  319. A. Lechleiter, R. Zhang.
    A Floquet-Bloch transform based numerical method for scattering from locally perturbed periodic surfaces.
    SIAM Journal on Scientific Computing, 39(5):B819-B839, 2017.

    DOI: 10.1137/16M1104111
    online unter: http://epubs.siam.org/doi/pdf/10.1137/16M1104111

  320. A. Lechleiter, R. Zhang.
    Non-periodic acoustic and electromagnetic, scattering from periodic structures in 3D.
    Computers & Mathematics with Applications, 74(11): 2723-2738, 2017.

    online unter: https://doi.org/10.1016/j.camwa.2017.08.042

  321. A. Lechleiter, R. Zhang.
    Reconstruction of Local Perturbations in Periodic Surfaces.
    Inverse Problems, 035006 34(2018), IOPscience, 2018.

    DOI: doi.org/10.1088/1361-6420/aaa7b1

  322. J. Leuschner, M. Schmidt, D. Otero Baguer, P. Maaß.
    LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction.
    Scientific Data, 8(109), 2021.

    DOI: 10.1038/s41597-021-00893-z

  323. J. Leuschner, M. Schmidt, P. Ganguly, V. Andriiashen, S. Coban, A. Denker, D. Bauer, A. Hadjifaradji, K. Batenburg, B. Maass, M. von Eijnatten.
    Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications.
    MDPI Journal of Imaging, 7(3), 44 S., 2021.

    DOI: 10.3390/jimaging7030044
    online unter: https://www.mdpi.com/2313-433X/7/3/44

  324. J. Leuschner, M. Schmidt, P. Fernsel, D. Lachmund, T. Boskamp, P. Maaß.
    Supervised Non-negative Matrix Factorization Methods for MALDI Imaging Applications.
    Bioinformatics, bty909 , 2018.

    DOI: 10.1093/bioinformatics/bty909

  325. J. Li, G. Sun, R. Zhang.
    The numerical solution of scattering by infinite rough interfaces based on the integral equation method.
    Computers & Mathematics with Applications, 71(7):1491-1502, 2016.

    online unter: https://ac.els-cdn.com/S0898122116300852/1-s2.0-S0898122116300852-main.pdf?_tid=83195944-b405-11e7-9068-00000aacb362&acdnat=1508332323_96d55a6d6c1263aa0750f01fce4f380f

  326. M. Li, R. Zhang.
    Near-field imaging of sound-soft obstacles in periodic waveguides .
    Inverse Problems and Imaging, 11(6):1091-1105, 2017.

    online unter: https://aimsciences.org/journals/displayArticlesnew.jsp?paperID=14621

  327. F. Lieb, T. Boskamp, H. Stark.
    Peak detection for MALDI mass spectrometry imaging data using sparse frame multipliers.
    Journal of Proteomics, 103852 225, Elsevier, 2020.

    DOI: 10.1016/j.jprot.2020.103852

  328. M. Lindemann, H. Thiele, P. Maaß, J. Decker.
    Support vector classification of proteomic profile spectra based on feature extraction with the bi-orthogonal discrete wavelet transform.
    Computing and Visualization in Science, 12(4):189-199, Springer Verlag, 2009.

    DOI: 10.1007/s00791-008-0087-z

  329. T. Linke, C. Büskens, S. Meier.
    Lattice Boltzmann Constraints for Standard Optimization Problems.
    PAMM, 13(1), 337–338 S., WILEY-VCH, 2013.

    DOI: 10.1002/pamm.201310164

  330. D. Lorenz, P. Maaß, Q. M. Pham.
    Gradient descent for Tikhonov functionals with sparsity constraints: theory and numerical comparison of step size rules.
    Electronic Transactions on Numerical Analysis, 39:437-463, 2012.
  331. D. Lorenz, S. Schiffler, D. Trede.
    Beyond convergence rates: exact recovery with the Tikhonov regularization with sparsity constraints.
    Inverse Problems, 27(8), 085009(17pp), IOPscience, 2011.

    Paper selected in "2011 Highlights for Inverse Problems"

    DOI: 10.1088/0266-5611/27/8/085009
    online unter: arXiv.org e-Print archive

  332. D. Lorenz, D. Trede.
    Optimal Convergence Rates for Tikhonov Regularization in Besov Scales.
    Inverse Problems, 24(5), 055010(14pp), 2008.

    DOI: 10.1088/0266-5611/24/5/055010
    online unter: arXiv.org e-Print archive

  333. I. Loresch, H. Schulte, O. Riemer, P. Maaß, F. Dollinger.
    Mathematische Ansätze zur Materialabtragsmodellierung beim Polieren.
    HTM - Journal of Heat Treatment and Materials, 63(5):252-256, 2008.

    DOI: 10.3139/105.100472

  334. A. K. Louis, P. Maaß.
    A mollifier method for linear operator equations of the first kind.
    Inverse Problems, 6(3):427-440, IOPscience, 1990.

    DOI: 10.1088/0266-5611/6/3/011

  335. A. K. Louis, P. Maaß.
    Smoothed projection methods for the moment problem .
    Numerische Mathematik, 59(1):277-294, Springer Verlag, 1991.

    DOI: 10.1007/BF01385781

  336. M. Lukaschewitsch, P. Maaß, M. Pidcock, C. Sebu.
    The asymptotic behaviour of weak solutions to the forward problem of electrical impedance tomography on unbounded three-dimensional domains.
    Mathematical Methods in the Applied Sciences, 32(2):206-222, WILEY-VCH, 2009.

    DOI: 10.1002/mma.1031

  337. M. Lukaschewitsch, P. Maaß, M. Pidcock.
    Tikhonov regularization for Electrical Impedance Tomography on unbounded domains.
    Inverse Problems, 19(3):585-610, 2003.

    DOI: 10.1088/0266-5611/19/3/308

  338. P. Maaß.
    3D Röntgentomographie: Ein Auswahlkriterium für Abtastkurven.
    ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 68:498-499, 1988.
  339. P. Maaß.
    Families of Orthogonal 2D Wavelets.
    SIAM Journal on Mathematical Analysis, 27(5):1454-1481, 1996.

    DOI: 10.1137/S003614109324649X

  340. P. Maaß.
    The Interior Radon Transform.
    SIAM Journal on Applied Mathematics, 52(3):710-724, 1992.

    DOI: 10.1137/0152040

  341. P. Maaß.
    The x-ray transform: singular value decomposition and resolution.
    Inverse Problems, 3(4):729-741, IOPscience, 1987.

    DOI: 10.1088/0266-5611/3/4/016

  342. P. Maaß.
    Tomographische Methoden bei Breitband Radar.
    ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 70(6):539-540, 1990.
  343. P. Maaß.
    Wideband radar: the hyp transform .
    Inverse Problems, 5(5):849-857, IOPscience, 1989.

    DOI: 10.1088/0266-5611/5/5/012

  344. P. Maaß.
    ZeTeM, Zentrum für Technomathematik, Universität Bremen, Germany.
    Newsletter of the European Mathematical Society, March 2011 79:36-38, 2011.

    DOI: 10.4171/NEWS

  345. P. Maaß, S. Dahlke, G. Teschke.
    Reconstructions of wideband reflectivity densities by wavelets transforms.
    Advances in Computational Mathematics, 18(2):189-209, Springer Verlag, 2003.

    DOI: 10.1023/A:1021303718373

  346. P. Maaß, B. Kuhfuß, O. Riemer.
    Mathematical Models for surface characterization of machining processes.
    Microsystem Technologies, 14(12):1989-1993, Springer Verlag, 2008.

    DOI: 10.1007/s00542-008-0687-z

  347. P. Maaß, B. Kuhfuß, O. Riemer.
    Mathematische Modelle zur tribologischen Optimierung von Zerspanungsprozessen.
    Kolloquium Mikroproduktion - Fortschritte, Verfahren, Anwendungen, Kooperation der Sonderforschungsbereiche 440, 499, 516 und 747 :243-248, 2007.
  348. P. Maaß, S. V. Pereverzev, R. Ramlau, S. G. Solodky.
    An Adaptive Discretization for Tikhonov-Phillips Regularization with a Posteriori Parameter Selection.
    Numerische Mathematik, 87(3):485-502, 2001.

    DOI: 10.1007/PL00005421

  349. P. Maaß, M. Pidcock, C. Sebu.
    A regularized solution for the inverse conductivity problem using mollifiers.
    Inverse Problems in Science and Engineering, 18(1):145-161, 2010.

    DOI: 10.1080/17415970903234844

  350. P. Maaß, R. Ramlau.
    Accelerated iteration methods for inverse problems.
    ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, ICIAM '95 - Sonderband 76:183-186, 1996.
  351. P. Maaß, R. Ramlau.
    Wavelet-accelerated regularization methods for hyperthermia treatment planning.
    International Journal of Imaging Systems and Technology, 7(3):191-199, 1996.
  352. P. Maaß, C. Sagiv, N. Sochen, H. Stark.
    Do Uncertainty Minimizers Attain Minimal Uncertainty?
    Journal of Fourier Analysis and Applications, 16(3):448-469, Springer Verlag, 2010.

    DOI: 10.1007/s00041-009-9099-4

  353. P. Maaß, C. Sagiv, H. Stark, B. Torresani.
    Signal representation, uncertainty principles and localization measures.
    Advances in Computational Mathematics, 40(3):597-607, Springer Verlag, 2014.

    DOI: 10.1007/s10444-014-9341-8

  354. P. Maaß, N. Sochen.
    Uncertainty principles and localization measures.
    Operator Algebras and Representation Theory: Frames, Wavelets and Fractals, Oberwolfach Report 17:67-69, 2011.

    DOI: 10.4171/OWR/2011/17

  355. P. Maaß, H. Stark.
    Wavelets and digital image processing.
    Surveys on Mathematics for Industry, 4(3):195-235, 1994.
  356. P. Maaß, R. Strehlow.
    An iterative regularization method for nonlinear problems based on Bregman projections.
    Inverse Problems, Article ID 115013 32(11), 20 pages, 2016.

    Ausgezeichnet als Highlight Paper

    DOI: 10.1088/0266-5611/32/11/115013

  357. P. Maaß, G. Teschke, W. Willmann, G. Wollmann.
    Detection and Classification of Material Attributes - a practical application of Wavelet Analysis.
    IEEE Transactions of Signal Processing, 48(8):2432-2439, 2000.

    DOI: 10.1109/78.852022

  358. P. Maaß, W. Treimer, U. Feye-Treimer.
    Tomographic Methods for 2D Reconstructions with the Double Cristal Diffractometer.
    IMPACT of Computing in Science and Engineering, 4(3):250-268, Elsevier, 1992.

    DOI: 10.1016/0899-8248(92)90003-Q

  359. H. S. Mahato, M. Böhm.
    An existence result for a system of coupled semilinear diffusion-reaction equations with flux boundary conditions.
    European Journal of Applied Mathematics, 26:121-143, 2015.
  360. H. S. Mahato, M. Böhm.
    Global existence and uniqueness for a system of semilinear multi-species diffusion-reaction equations.
    The Journal of Applied Analysis and Computation, 3(4):357-376, 2013.

    online unter: http://jaac-online.com/index.php/jaac/article/view/173

  361. H. S. Mahato, M. Böhm.
    Homogenization of a system of semilinear diffusion-reaction equations in an H^{1,p} setting.
    Electronic Journal of Diff erential Equations, 210:1-22, 2013.

    online unter: http://ejde.math.txstate.edu/Volumes/2013/210/mahato.pdf

  362. H. S. Mahato, M. Böhm, S. Kräutle, P. Knabner.
    Upscaling of a system of semilinear parabolic partial differential equations coupled with a system of nonlinear ordinary differential equations originating in the context of crystal dissolution and precipitation inside a porous medium: existence theory ..
    Advances in Mathematical Sciences and Applications, 26:39-80, 2017.
  363. R. Mahnken , A. Schneidt, T. Antretter, U. Ehlenbröker, M. Wolff.
    Multi-scale modeling of bainitic phase transformation in multi-variant polycrystalline low alloy steels.
    International Journal of Solids and Structures, 54:156-171, 2015.
  364. R. Mahnken , M. Wolff, C. Cheng.
    A Multi-Mechanism Model for Cutting Simulations Combining Visco-plastic Asymmetry and Phase Transformation.
    International Journal of Solids and Structures, 50(20):3045-3066, Elsevier, 2013.

    DOI: 10.1016/j.ijsolstr.2013.05.008
    online unter: http://www.sciencedirect.com/science/article/pii/S0020768313002023

  365. R. Mahnken , M. Wolff, A. Schneidt, M. Böhm.
    Multi-Phase Transformations at Large Strains – Thermodynamic Framework and Simulation.
    International Journal of Plasticity, 39:1-26, Elsevier, 2012.

    DOI: 10.1016/j.ijplas.2012.05.009

  366. A. Mallek, D. Klosa, C. Büskens.
    Impact of Data Loss on Multi-Step Forecast of Traffic Flow in Urban Roads Using K-Nearest Neighbors.
    Sustainability, 14(18), 11232, 2022.

    DOI: https://doi.org/10.3390/su141811232

  367. D. Marpe, G. Blättermann, J. Ricke, P. Maaß.
    A Two-Layered Wavelet-Based Algorithm for Efficient Lossless and Lossy Image Compression.
    IEEE Transactions on Circuits and Systems for Video Technology, 10(7):1094-1102, 2000.

    DOI: 10.1109/76.875514

  368. H. Maurer, C. Büskens, J. R. Kim, C. Y. Kaya.
    Optimization Methods for the Verification of Second-Order Sufficient Conditions for Bang-Bang Controls.
    Optimal Control Applications and Methods, 26(3):129-156, 2005.
  369. H. Maurer, C. Büskens, G. Feichtinger.
    Solution Techniques for Periodic Control Problems: A Case Study in Production Planning.
    Optimal Control Applications and Methods, 19(3):185-203, Wiley, 1998.

    DOI: 10.1002/(SICI)1099-1514(199805/06)19:3<185::AID-OCA627>3.0.CO;2-E

  370. S. Meier.
    A homogenisation-based two-scale model for reactive transport in media with evolving microstructure.
    Comptes Rendus Mecanique, 336(8):623-628, Elsevier, 2008.
  371. S. Meier, M. Böhm.
    A note on the construction of function spaces for distributed-microstructure models with spatially varying cell geometry.
    International Journal of Numerical Analysis and Modeling, 5:109-125, 2007.
  372. S. Meier, M. Böhm.
    A two-scale reaction–diffusion system with time-dependent microstructure.
    PAMM, 6(1):647-648, 2006.
  373. S. Meier, A. Muntean.
    A two-scale reaction-diffusion system with micro-cell reaction concentrated on a free boundary.
    Comptes Rendus Mecanique, 336(6):481-486, Elsevier, 2008.
  374. S. Meier, M. Peter, M. Böhm.
    A two-scale modelling approach to reaction–diffusion processes in porous materials.
    Computational Materials Science, 39:49-54, 2007.
  375. S. Meier, M. Peter, A. Muntean, M. Böhm.
    Dynamics of the internal reaction layer arising during carbonation of concrete.
    Chemical Engineering Science, 62(4):1125-1137, 2007.
  376. C. Meyer, A. Rademacher, W. Wollner.
    Adaptive optimal control of the obstacle problem.
    SIAM Journal on Scientific Computing, 37(2):A918-A945, SIAM, 2015.
  377. F. Miesner, A. Lechleiter, C. Müller.
    Reconstructing bottom water temperatures from measurements of temperature and thermal diffusivity in marine sediments.
    Ocean Science, 11:559-571, Copernicus Verlag, 2015.

    DOI: 10.5194/os-11-559-2015
    online unter: Open Access via Ocean Science Homepage

  378. M. Möddel, F. Griese, T. Kluth, T. Knopp.
    Estimating the Spatial Orientation of Immobilized Magnetic Nanoparticles with Parallel-Aligned Easy Axes.
    Physical Review Applied, 16(4), L041003 S., 2021.
  379. P. Monk, A. Lechleiter.
    The Time Domain Lippmann-Schwinger Equation and Convolution Quadrature.
    Numerical Methods for Partial Differential Equations, 31(2):517-540, Wiley, 2015.

    DOI: 10.1002/num.21921
    online unter: Link (arXiv)

  380. J. Montalvo Urquizo, Z. Akbay, A. Schmidt.
    Adaptive finite element models applied to the laser welding problem.
    Computational Materials Science, 46(1):245-254, Elsevier, 2009.

    DOI: 10.1016/j.commatsci.2009.02.037

  381. J. Montalvo Urquizo, P. Bobrov, W. Wosniok, A. Schmidt.
    Elastic responses of texturized microscale materials using FEM simulations and stochastic material properties.
    Mechanics of Materials, 47:1-10, Elsevier, 2012.

    DOI: 10.1016/j.mechmat.2011.11.008

  382. J. Montalvo Urquizo.
    Material libraries for texturized thin metal sheets in elastic range.
    PAMM, 12(1):235-236, WILEY-VCH, 2012.
  383. J. Montalvo Urquizo, C. Niebuhr, A. Schmidt, M. G. Villarreal-Marroquin.
    Reducing deformation, stress and tool wear during milling processes using simulation-based multiobjective optimization.
    The International Journal of Advanced Manufacturing Technology, 96:1859-1873, 2018.
  384. J. Montalvo Urquizo, Q. Liu, A. Schmidt.
    Simulation of quenching involved in induction hardening including mechanical eff ects.
    Computational Materials Science, 79:639-649, Elsevier, 2013.

    DOI: 10.1016/j.commatsci.2013.06.058

  385. J. Montalvo Urquizo, M. Ungermann.
    Size Selection for Representative Volume Elements on Texturized Thin Metallic Sheets under Elastic Loads.
    PAMM, 2013 1:265-266, WILEY-VCH, 2013.

    DOI: DOI: 10.1002/pamm.201310128
    online unter: http://onlinelibrary.wiley.com/doi/10.1002/pamm.201310128/abstract

  386. S. D. Moura, M. Piotrowski.
    Non-smooth atomic decompositions of anisotropic function spaces and some applications.
    Studia Mathematica, 180(2):169-190, 2007.
  387. C. Müller, F. Miesner, R. Usbeck.
    Temperatures in shallow marine sediments: Influence of thermal properties, seasonal forcing, and man-made heat sources.
    Applied Thermal Engineering, 108:20-29, Elsevier, 2016.

    DOI: doi:10.1016/j.applthermaleng.2016.07.105

  388. A. Muntean.
    Concentration blow up in a two-phase non-equilibrium model with source term.
    Meccanica, 42:409-411, 2007.
  389. A. Muntean.
    Error bounds on semi-discrete finite element approximations of a moving-boundary system arising in concrete corrosison.
    International Journal of Numerical Analysis and Modeling, 5(3):363-372, 2008.
  390. A. Muntean, M. Böhm.
    A moving two-reaction zones model: Global existence of solutions.
    PAMM, 6(1):649-650, 2006.
  391. A. Muntean, M. Böhm.
    A moving-boundary problem for concrete carbonation: Global existence and uniqueness of weak solutions.
    Journal of Mathematical Analysis and Applications, 350(1):234-251, 2009.
  392. A. Muntean, M. Böhm.
    Interface conditions for fast-reaction fronts in wet porous mineral materials: The case of concrete carbonation.
    Journal of Engineering Mathematics, 65(1):89-100, Springer Verlag, 2009.

    DOI: 10.1007/s10665-009-9295-x

  393. A. Muntean, M. Böhm, J. Kropp.
    Moving carbonation fronts in concrete: a moving-sharp-interface approach.
    Chemical Engineering Science, 66:538-547, 2011.
  394. A. Narimanyan, A. Muntean.
    Mathematical modeling driven by two industrial applications: A moving-boundary approach.
    Mathematical Modelling and Analysis, 11(3):1-19, 2006.
  395. L. Nerger, S. Schulte, A. Bunse-Gerstner.
    On the influence of model nonlinearity and localization on ensemble Kalman smoothing.
    Quarterly Journal of the Royal Meteorological Society, 140:2249-2259, Wiley, 2014.

    DOI: 10.1002/qj.2293

  396. T. H. Nguyen, D. Nho Hào, P. Maaß, L. Colombi Ciacchi.
    Mathematical aspects of catalyst positioning in lithium/air batteries.
    Inverse Problems, 36(4), 2020.

    DOI: 10.1088/1361-6420/ab47e6

  397. J. Nüße, M. Waespy, U. Mirastschijski, J. Oetjen, N. Brandes, O. Rebello, F. Paroni, S. Kelm, F. Dietz.
    Two new isoforms of the human hepatoma-derived growth factor interact with components of the cytoskeleton.
    Biological Cemistry, 397(5), 417–436 S., 2016.

    DOI: 10.1515/hsz-2015-0273

  398. J. Oetjen, M. Aichler, D. Trede, J. Strehlow, J. Berger, S. Heldmann, M. Becker, M. Gottschalk, J. H. Kobarg, S. Wirtz, S. Schiffler, H. Thiele, A. Walch, P. Maaß, F. Alexandrov.
    MRI-compatible pipeline for three-dimensional MALDI imaging mass spectrometry using PAXgene fixation .
    Journal of Proteomics, 90:52-60, 2013.

    DOI: 10.1016/j.jprot.2013.03.013

  399. J. Oetjen, D. Lachmund, A. Palmer, F. Alexandrov, M. Becker, T. Boskamp, P. Maaß.
    An approach to optimize sample preparation for MALDI imaging MS of FFPE sections using fractional factorial design of experiments.
    Analytical and Bioanalytical Chemistry, 408(24):6729-40, 2016.

    DOI: 10.1007/s00216-016-9793-4

  400. J. Oetjen, B. Reinhold-Hurek.
    Characterization of the DraT/DraG System for Posttranslational Regulation of Nitrogenase in the Endophytic Betaproteobacterium Azoarcus sp. Strain BH72.
    Journal of Bacteriology, 191(11):3726-3735, 2009.

    DOI: 10.1128/JB.01720-08

  401. J. Oetjen, S. Rexroth, B. Reinhold-Hurek.
    Mass spectrometric characterization of the covalent modification of the nitrogenase Fe-protein in Azoarcus sp. BH72.
    The FEBS Journal, 276(13):3618-3627, 2009.

    DOI: 10.1111/j.1742-4658.2009.07081.x

  402. J. Oetjen, K. Veselkov, J. Watrous, J. McKenzie, M. Becker, L. Hauberg-Lotte, J. H. Kobarg, A. K. Mróz, N. Strittmatter, F. Hoffmann, D. Trede, A. Palmer, S. Schiffler, K. Steinhorst, M. Aichler, R. Goldin, O. Guntinas-Lichius, F. von Eggeling, H. Thiele, K. Mädler, A. Walch, P. Maaß, P. C. Dorrestein, Z. Takats, F. Alexandrov.
    Benchmark datasets for 3D MALDI- and DESI-imaging mass spectrometry.
    GigaScience, 4, 2015.

    DOI: 10.1186/s13742-015-0059-4

  403. D. Otero Baguer, J. Leuschner, M. Schmidt.
    Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods.
    Inverse Problems, 36(9), IOPscience, 2020.

    DOI: 10.1088/1361-6420/aba415

  404. M. Peter.
    Homogenisation in domains with evolving microstructure .
    Comptes Rendus Mecanique, 335(7):357-362, 2007.
  405. M. Peter.
    Homogenisation of a chemical degradation mechanism inducing an evolving microstructure.
    Comptes Rendus Mecanique, 335(11):679-684, 2007.
  406. M. Peter, M. Böhm.
    Different choices of scaling in homogenization of diffusion and interfacial exchange in a porous medium.
    Mathematical Methods in the Applied Sciences, 31(11):1257-1282, 2008.
  407. M. Peter, M. Böhm.
    Multi-scale modelling of chemical degradation mechanisms in porous media with evolving microstructure.
    Multiscale Modeling & Simulation, 7(4):1643-1668, SIAM, 2009.

    DOI: 10.1137/070706410

  408. M. Peter, M. H. Meylan, H. Chung.
    Wave scattering by a circular elastic plate in water of finite depth: A closed form solution.
    International Journal of Offshore and Polar Engineering, 14(2):81-85, 2004.
  409. M. Peter, M. H. Meylan.
    Infinite-depth interaction theory for arbitrary floating bodies applied to wave forcing of ice floes.
    Journal of Fluid Mechanics, 500:145-167, 2004.
  410. M. Peter, M. H. Meylan.
    The eigenfunction expansion of the infinite depth free surface Green function in three dimensions.
    Wave Motion, 40:1-11, 2004.
  411. M. Peter, M. H. Meylan, C. M. Linton.
    Water-wave scattering by a periodic array of arbitrary bodies.
    Journal of Fluid Mechanics, 548:237-256, 2006.
  412. M. Peter, M. H. Meylan.
    Water-wave scattering by a semi-infinite periodic array of arbitrary bodies.
    Journal of Fluid Mechanics, 575:473-494, 2007.
  413. M. Peter, A. Muntean, S. Meier, M. Böhm.
    Competition of several carbonation reactions in concrete: A parametric study.
    Cement and Concrete Research, 38(12):1385-1393, 2008.
  414. S. Peters.
    The Inside-Outside Duality for Elastic Scattering Problems.
    Applicable Analysis - An International Journal, 96(1):48-69, 2016.

    DOI: 10.1080/00036811.2016.1210789
    online unter: http://www.tandfonline.com/doi/full/10.1080/00036811.2016.1210789

  415. S. Peters, A. Kleefeld.
    Numerical Computations of Interior Transmission Eigenvalues for Scattering Objects with Cavities.
    Inverse Problems, 32(4), IOPscience, 2016.

    DOI: 10.1088/0266-5611/32/4/045001
    online unter: http://iopscience.iop.org/article/10.1088/0266-5611/32/4/045001/meta

  416. S. Peters, A. Lechleiter.
    The inside–outside duality for inverse scattering problems with near field data.
    Inverse Problems, 31(8), 085004, IOPscience, 2015.

    DOI: 10.1088/0266-5611/31/8/085004
    online unter: http://iopscience.iop.org/0266-5611/31/8/085004/

  417. Q. M. Pham, D. Nho Hào, P. Maaß, M. Pidcock.
    Descent Gradient Methods for Nonsmooth Minimization Problems and Applicatons to Ill-Posed Problems.
    Journal of Computational and Applied Mathematics, 298:105-122, 2016.

    DOI: 10.1016/j.cam.2015.11.039

  418. Q. M. Pham, D. Nho Hào, P. Maaß, M. Pidcock.
    Semismooth Newton and Quasi-Newton methods in weighted l¹-regularization.
    Journal of Inverse and Ill-posed Problems, 21(5):665-693, 2013.

    DOI: 10.1515/jip-2013-0031

  419. M. Pidcock, P. Maaß, C. Sebu.
    A mollifier method for the inverse conductivity problem.
    Journal of Physics, Conference Series, Article ID 012068 135(1), 2008.

    DOI: 10.1088/1742-6596/135/1/012068

  420. D. D. Haroske.
    Atomic decomposition of function spaces with Muckenhoupt weights; an example from fractal geometry.
    Mathematische Nachrichten, 281(10), 1476–1494, 2008.
  421. .
    Entropy and aproximation numbers of embeddings between weighted besov spaces.
    Banach Center Publications, 79:173-185, 2008.
  422. C. Brandt, P. Maaß.
    Mathematical model of micro turning process.
    The International Journal of Advanced Manufacturing Technology, 45(1):33-40, Springer Verlag, 2009.

    DOI: 10.1007/s00170-009-1932-z

  423. I. Piotrowska-Kurczewski, J. Schlasche, D. Weimer, B. Scholz-Reiter, P. Maaß.
    Image Denoising and Quality inspection of Micro Components using Perona-Malik Diffusion.
    Procedia CIRP, 8:432-437, Elsevier, 2013.

    DOI: 10.1016/j.procir.2013.06.129

  424. I. Piotrowska-Kurczewski, J. Vehmeyer, P. Gralla, F. E. Elsner-Dörge, F. Böhmermann, O. Riemer, P. Maaß.
    Reduzierung der Formabweichung beim Mikrofräsen.
    Tagungsband 7. Kolloquium Mikroproduktion, ISBN: 978-3-00-050-755-7 , 23–30 S., 2015.
  425. I. Piotrowska-Kurczewski, J. Vehmeyer.
    Simulation Model for Micro-milling Operations and Surface Generation.
    , Advanced Materials Research 223:849-858, 2011.

    DOI: doi:10.4028/www.scientific.net/AMR.223.849

  426. J. Prakash, G. P. Raja Sekhar, S. De, M. Böhm.
    A criterion to avoid starvation zones for convection-diffusion-reaction problem inside a porous biological pellet under oscillatory flow.
    International Journal of Engineering Science, 48:693-707, Elsevier, 2010.

    DOI: 10.1016/j.ijengsci.2010.02.004

  427. J. Prakash, G. P. Raja Sekhar, S. De, M. Böhm.
    Convection, diffusion and reaction inside a spherical porous pellet in the presence of oscillatory flow.
    European Journal of Mechanics - B/Fluids, 29(6):483-493, Elsevier, 2010.

    DOI: 10.1016/j.euromechflu.2010.05.002

  428. L. Prünte, P. Maaß, H. Thielemann.
    Condition Monitoring of linear guideways using a matched wavelet approach.
    Signal Processing, 88(7):1656-1670, Elsevier, 2008.

    DOI: 10.1016/j.sigpro.2007.12.017

  429. J. Quanico, L. Hauberg-Lotte, S. Devaux, Z. Laouby, C. Mériaux, A. Raffo-Romero, M. Rose, L. . Westerheide, J. Vehmeyer, F. Rodet, P. Maaß, D. Cizkova, N. Zilka, V. Cubinkova, I. Fournier, M. Salzet.
    3D MALDI mass spectrometry imaging reveals specific localization of long-chain acylcarnitines within a 10-day time window of spinal cord injury.
    Scientific Reports, 8(16083), 2018.

    DOI: 10.1038/s41598-018-34518-0

  430. A. Rademacher.
    Adaptive space-time finite element methods for dynamic linear thermoelasticity.
    Proceedings in Applied Mathematics and Mechanics, 15:681-682, 2015.
  431. A. Rademacher.
    Mesh and model adaptivity for frictional contact problems.
    Numerische Mathematik, 142(3):465-523, 2019.
  432. A. Rademacher.
    NCP-function based dual weighted residual error estimators for Signorini's problem.
    SIAM Journal on Scientific Computing, 38(3):A1743-A1769, SIAM, 2016.

    DOI: https://doi.org/10.1137/15M1033873

  433. A. Rademacher, K. Rosin.
    Adaptive optimal control of Signorini's problem.
    Computational Optimization and Applications, 70(2):531-469, 2018.
  434. A. Rademacher, A. Schröder.
    Dual weighted residual error control for frictional contact problems.
    Computational Methods in Applied Mathematics, 15(3):391-413, 2015.
  435. A. Rademacher, A. Schröder, H. Blum, H. Kleemann.
    Mixed FEM of higher-order for time-dependent contact problems.
    Applied Mathematics and Computation, 233:165-186, 2014.
  436. C. M. Rath, F. Alexandrov, S. K. Higginbottom, J. Song, J. L. Sonnenburg, M. E. Milla, M. A. Fischbach, P. C. Dorrestein.
    Molecular analysis of model gut microbiotas by imaging mass spectrometry and nano-desorption electrospray ionization reveals dietary metabolite transformations.
    Analytical Chemistry, 84(21):9259-9267, 2012.

    DOI: 10.1021/ac302039u

  437. C. M. Rath, J. Y. Yang, F. Alexandrov, P. C. Dorrestein.
    Data-independent microbial metabolomics with ambient ionization mass spectrometry.
    Journal of Mass Spectrometry, 24(8):1167-1176, 2013.

    DOI: 10.1007/s13361-013-0608-y

  438. R. Reisenhofer, S. Bosse, T. Wiegand, G. Kutyniok.
    A Haar Wavelet-Based Perceptual Similarity Index for Image Quality Assessment.
    Signal Processing: Image Communication, 61:33-43, Elsevier, 2018.

    DOI: 10.1016/j.image.2017.11.001

  439. R. Reisenhofer, E. King, J. Kiefer.
    Shearlet-Based Detection of Flame Fronts.
    Experiments in Fluids, 57(3):41:1-41:14, Springer Verlag, 2016.

    DOI: 10.1007/s00348-016-2128-6

  440. J. Ricke, P. Maaß, E. L. Hänninen, T. Liebig, H. Amthauer, C. Stroszczynski, W. Schauer, T. Boskamp, M. Wolf.
    Wavelet Versus JPEG (Joint Photographic Expert Group) and Fractal Compression: Impact on the Detection of Low-Contrast Details in Computed Radiographs.
    Investigative Radiology, 33(8):456-463, 1998.
  441. G. Rigaud, B. Hahn.
    Reconstruction Algorithm For 3D Compton Scattering Imaging With Incomplete Data.
    Erscheint in Inverse Problems in Science and Engineering
  442. S. Saha, W. Brannath.
    Comparison of different approaches for dose response analysis.
    Biometrical Journal, 61(1):83-100, WILEY-VCH, 2018.

    DOI: 10.1002/bimj.201700276

  443. S. Saha, W. Brannath, B. Bornkamp.
    Testing multiple dose combinations in clinical trials.
    Statistical Methods in Medical Research, , 2019.

    DOI: 10.1177/0962280219871969

  444. B. Salimbahrami, B. Lohmann, A. Bunse-Gerstner.
    Passive reduced order modelling of second-order systmes.
    Mathematical and Computer Modelling of Dynamical Systems, 14(5):407 - 420, 2008.
  445. M. Salmani, C. Büskens.
    Real-time control of optimal low-thrust transfer to the Sun-Earth L(1) halo orbit in the bicircular four-body problem.
    Acta Astronautica, 69(9):882-891, 2011.

    DOI: 10.1016/j.actaastro.2011.05.017

  446. D. Schmand, M. Schröder, L. Vargas Koch.
    A greedy algorithm for the social golfer and the Oberwolfach problem.
    European Journal of Operational Research, 300(1):310-319, Elsevier, 2022.

    DOI: 10.1016/j.ejor.2021.09.018

  447. C. Kreuzer, C. A. Möller, A. Schmidt, K. G. Siebert.
    Design and Convergence Analysis for an Adaptive Discretization of the Heat Equation.
    IMA Journal of Numerical Analysis, 32(4):1375-1403 , 2012.

    DOI: 10.1093/imanum/drr026

  448. A. Schmidt, B. Suhr, T. Moshagen, M. Wolff, M. Böhm.
    Adaptive Finite Element Simulations for Macroscopic and Mesoscopic Models.
    Materialwissenschaft und Werkstofftechnik, 37(1):142-146, 2005.
  449. P. Schneider, R. Kienzler, M. Böhm.
    Modeling of consistent second-order plate theories for anisotropic materials.
    ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 94:21-42, 2014.

    DOI: 10.1002/zamm.201100033

  450. B. Scholz-Reiter, S. Dashkovskiy, F. Wirth, M. Schönlein, M. Kosmykov, T. Makuschewitz.
    A comparison of mathematical modelling approaches for stability analysis of supply chains.
    International Journal of Logistics Systems and Management, 10(2):208-223, 2011.
  451. B. Scholz-Reiter, S. Dashkovskiy, M. Görges, L. Naujok.
    Stability analysis of autonomously controlled production networks.
    International Journal of Production Research, 49(16):4857-4877, Taylor & Francis, 2011.

    online unter: http://www.tandfonline.com/doi/abs/10.1080/00207543.2010.505215

  452. B. Scholz-Reiter, F. Wirth, S. Dashkovskiy, T. Jagalski, T. Makuschewitz.
    Analyse der Dynamik großskaliger Netzwerke in der Logistik.
    Industrie Management, 24(3):37-40, 2008.
  453. B. Scholz-Reiter, F. Wirth, S. Dashkovskiy, T. Jagalski, T. Makuschewitz.
    Die Dynamik komplexer Supply Chains.
    EML Einkauf, Materialwirtschaft, Logistik, 48(9):10-13, 2008.
  454. B. Scholz-Reiter, F. Wirth, S. Dashkovskiy, M. Schönlein, T. Makuschewitz, M. Kosmykov.
    Structure-preserving model reduction of large-scale logistics networks - applications for supply chains.
    The European Physical Journal B , 84(4):501-520, Springer Verlag, 2011.

    online unter: http://epjb.edpsciences.org/index.php?option=com_article&access=doi&doi=10.1140/epjb/e2011-10894-6&Itemid=129

  455. A. Schröder, H. Blum, A. Rademacher, H. Kleemann.
    Mixed FEM of higher order for contact problems with friction.
    International Journal of Numerical Analysis and Modeling, 8(2):302-323, 2011.
  456. A. Schröder, A. Rademacher.
    Goal-oriented error control in adaptive mixed FEM for Signorini's Problem.
    Computer Methods in Applied Mechanics and Engineering, 200(1):345-355, 2011.
  457. S. Schulze, E. King.
    Sparse Pursuit and Dictionary Learning for Blind Source Separation in Polyphonic Music Recordings.
    EURASIP Journal on Audio, Speech, and Music Processing, 6:2-25, 2021.

    DOI: 10.1186/s13636-020-00190-4
    online unter: https://rdcu.be/ceo1J

  458. T. Schuster, P. Maaß, T. Bonesky, K. Kazimierski, F. Schöpfer.
    Minimization of Tikhonov Functionals in Banach Spaces.
    Abstract and Applied Analysis, Article ID 192679, 2008, 18 pages, 2008.

    DOI: 10.1155/2008/192679

  459. M. Schweinoch, R. Schäfer, A. Sacharow, D. Biermann, C. Buchheim.
    A non-rigid registration method for the efficient analysis of shape deviations in production engineering applications.
    Production Engineering - Research and Development, 10(2):137-146, 2016.

    DOI: 10.1007/s11740-016-0660-0

  460. S. Seo, A. Richter, A. Blechschmidt, I. Bougoudis, J. P. Burrows.
    First high-resolution BrO column retrievals from TROPOMI .
    Atmospheric Measurement Techniques, 12:2913-2932, 2019.

    DOI: 10.5194/amt-12-2913-2019

  461. M. Shubbak.
    Advances in solar photovoltaics: Technology review and patent trends.
    Renewable and Sustainable Energy Reviews, 115, 109383, Elsevier, 2019.

    DOI: 10.1016/j.rser.2019.109383
    online unter: https://www.sciencedirect.com/science/article/pii/S136403211930591X}, author = {Mahmood H. Shubbak

  462. M. Shubbak.
    Innovation capability, network embeddedness and economic performance.
    International Journal of Technological Learning, Innovation and Development, 10(3):258-294, Inderscience Publishers, 2018.

    Award Winner: EAEPE Simon Prize 2018

    DOI: https://doi.org/10.1504/IJTLID.2018.093723

  463. M. Shubbak.
    Self-Driving Cars: Legal, Social, and Ethical Aspects.
    Artificial Intelligence - Law, Policy, & Ethics eJournal, SSRN :1-14, Elsevier, 2017.

    DOI: https://doi.org/10.2139/ssrn.2931847

  464. M. Shubbak.
    The technological system of production and innovation: The case of photovoltaic technology.
    Research Policy, 48(4):993-1015, Elsevier, 2019.

    DOI: 10.1016/j.respol.2018.10.003
    online unter: https://www.sciencedirect.com/science/article/pii/S004873331830235X

  465. T. Siebrecht, D. Biermann, H. Ludwig, S. Rausch, P. Wiederkehr geb. Kersting, H. Blum, A. Rademacher.
    Simulation of grinding processes using finite element analysis and geometric simulation of individual grains.
    Production Engineering, Research and Development, 8(3):345-353, 2014.
  466. L. Siemer, I. Ovsyannikov, J. Rademacher.
    Inhomogeneous domain walls in spintronic nanowires.
    Nonlinearity, 2905 33(6), IOPscience, 2020.

    DOI: 10.1088/1361-6544/ab6f4e

  467. C. Simsir, M. Dalgic, T. Lübben, A. Irretier, M. Wolff, H. Zoch.
    The Bauschinger effect in the supercooled austenite of SAE 52100 steel.
    Acta Materialia, 58(13):4478-4491, Elsevier, 2010.

    DOI: 10.1016/j.actamat.2010.04.044

  468. C. Song, M. Mazzola, X. Cheng, J. Oetjen, F. Alexandrov, P. C. Dorrestein, J. Watrous, M. van der Voort, J. M. Raaijmakers.
    Molecular and chemical dialogues in bacteria-protozoa interactions.
    Scientific Reports, Article ID 12837 5, 2015.

    DOI: 10.1038/srep12837

  469. .
    .
    , .
  470. G. Rigaud.
    3D Compton scattering imaging with multiple scattering: analysis by FIO and contour reconstruction.
    Inverse Problems, 37(6), 2021.

    online unter: https://iopscience.iop.org/article/10.1088/1361-6420/abf22b

  471. S. Schulze, J. Leuschner, E. King.
    Blind Source Separation in Polyphonic Music Recordings Using Deep Neural Networks Trained via Policy Gradients.
    MDPI Open Access Journals Signals, 2(4):637-661, 2021.

    DOI: 10.3390/signals2040039
    online unter: https://www.mdpi.com/2624-6120/2/4/39

  472. M. Jahn, H. Brüning, A. Schmidt, F. Vollertsen.
    Energy dissipation in laser-based free form heading: a numerical approach.
    Production Engineering - Research and Development, , Springer Verlag, 2013.

    DOI: 10.1007/s11740-013-0509-8
    online unter: http://link.springer.com/article/10.1007%2Fs11740-013-0509-8

  473. M. Jahn, A. Luttmann, A. Schmidt.
    Finite element simulation for material accumulation and welding processes including a free melt surface.
    PAMM, 13(1), 235–236 S., Wiley, 2013.

    DOI: 10.1002/pamm.201310113
    online unter: http://onlinelibrary.wiley.com/doi/10.1002/pamm.201310113/abstract

  474. T. Kluth.
    Mathematical models for magnetic particle imaging.
    Inverse Problems, 34(8), 2018.

    DOI: 10.1088/1361-6420/aac535

  475. L. Kuger, G. Rigaud.
    Modeling and Reconstruction Strategy for Compton Scattering Tomography with Scintillation Crystals.
    Crystals, 11(6), 2021.

    DOI: https://doi.org/10.3390/cryst11060641

  476. H. Brüning, M. Jahn, A. Schmidt.
    Process Window For Forming Of Micro Preforms At Different Temperatures.
    Advanced Materials Research, 769:173-180, Trans Tech Publications, 2013.

    DOI: doi:10.4028/www.scientific.net/AMR.769.173
    online unter: http://www.scientific.net/AMR.769.173

  477. S. Dittmer, T. Kluth, P. Maaß, D. Otero Baguer.
    Regularization by architecture: A deep prior approach for inverse problems.
    Journal of Mathematical Imaging and Vision, 62(3):456-470, Springer Verlag, 2020.

    DOI: 10.1007/s10851-019-00923-x
    online unter: http://link.springer.com/article/10.1007/s10851-019-00923-x

  478. J. Watrous, F. Alexandrov, P. C. Dorrestein.
    The evolving field of imaging mass spectrometry and its impact on future biological research.
    Journal of Mass Spectrometry, 46(2):209-222, 2011.
  479. M. Steinherr Zazo, J. Rademacher.
    Lyapunov coefficients for Hopf bifurcations in systems with piecewise smooth nonlinearity.
    Erscheint in SIAM Journal on Applied Dynamical Systems

    online unter: https://arxiv.org/abs/2006.07085

  480. S. Steurer, C. Borkowski, S. Odinga, M. Buchholz, C. Koop, H. Huland, M. Becker, M. Witt, D. Trede, M. Omidi, O. Kraus, A. S. Bahar, A. S. Seddiqi, J. M. Singer, M. Kwiatkowski, M. Trusch, R. Simon, M. Wurlitzer, S. Minner, T. Schlomm, G. Sauter, H. Schlüter.
    MALDI mass spectrometric imaging based identification of clinically relevant signals in prostate cancer using large-scale tissue microarrays.
    Erscheint in International Journal of Cancer

    DOI: 10.1002/ijc.28080

  481. B. Suhr, F. Frerichs, I. Hüßler, M. Wolff.
    Evaluation of models for martensitic transformation and TRIP via comparison of experiments and simulations.
    Materialwissenschaft und Werkstofftechnik, 40(5):460-465, WILEY-VCH, 2009.

    DOI: 10.1002/mawe.200900477

  482. G. Sun, R. Zhang.
    A sampling method for the reconstruction of a periodic interface in a layered medium.
    Inverse Problems, 075005 32(7), 2016.

    DOI: https://doi.org/10.1088/0266-5611/32/7/075005
    online unter: https://doi.org/10.1088/0266-5611/32/7/075005

  483. H. Thiele, S. Heldmann, D. Trede, J. Strehlow, S. Wirtz, W. Dreher, J. Berger, J. Oetjen, J. H. Kobarg, B. Fischer, P. Maaß.
    2D and 3D MALDI-Imaging: Conceptual Strategies for Visualization and Data Mining.
    BBA - Proteins and Proteomics, 1844(1):117-137, 2014.

    DOI: 10.1016/j.bbapap.2013.01.040

  484. D. Trede, F. Alexandrov, C. Sagiv, P. Maaß.
    Magnification of Label Maps with a Topology-Preserving Level-Set Method.
    IEEE Transactions on Image Processing, 21(9):4040-4053 , 2012.

    DOI: 10.1109/TIP.2012.2199325

  485. D. Trede, J. H. Kobarg, J. Oetjen, H. Thiele, P. Maaß, F. Alexandrov.
    On the Importance of Mathematical Methods for Analysis of MALDI-Imaging Mass Spectrometry Data.
    Journal of Integrative Bioinformatics, 9(1), 189 S., 2012.

    DOI: 10.2390/biecoll-jib-2012-189
    online unter: JIB open access

  486. D. Trede, S. Schiffler, M. Becker, S. Wirtz, K. Steinhorst, J. Strehlow, M. Aichler, J. H. Kobarg, J. Oetjen, A. Dyatlov, S. Heldmann, A. Walch, H. Thiele, P. Maaß, F. Alexandrov.
    Exploring Three-Dimensional Matrix-Assisted Laser Desorption/Ionization Imaging Mass Spectrometry Data: Three-Dimensional Spatial Segmentation of Mouse Kidney.
    Analytical Chemistry, 84(14):6079-6087, 2012.

    DOI: 10.1021/ac300673y

  487. W. Treimer, P. Maaß, B. Strothmann, U. Feye-Treimer.
    High-resolution neutron small-angle scattering with a double-crystal diffractometer and 2D reconstruction.
    Physica B: Condensed Matter, 174(1):532-536, Elsevier, 1991.

    DOI: 10.1016/0921-4526(91)90652-U

  488. H. van Asperen, T. Warneke, S. Sabbatini, M. Höpker, T. Chiti, G. Nicolini, D. Papale, M. Böhm, J. Notholt.
    Diurnal variation in respiratory CO2 flux in an arid ecosystem.
    Agricultural and Forest Meteorology, 234:95-105, Elsevier, 2017.
  489. J. von Schroeder, T. Dickhaus.
    Efficient Calculation of the Joint Distribution of Order Statistics.
    Computational Statistics & Data Analysis, 144, Elsevier, 2020.

    DOI: 10.1016/j.csda.2019.106899

  490. S. P. Vudathu, A. Bunse-Gerstner, D. Kubalinska, K. Kumar Duganapalli, R. Laur.
    Yield analysis via induction of process statistics into the design of MEMS and other microsystems.
    Microsystem Technologies, 13(11), 1545–1551, 2007.
  491. J. Watrous, F. Alexandrov, P. C. Dorrestein.
    Interspecies interactions stimulate diversification of the Streptomyces coelicolor secreted metabolome.
    mBio, 4(4):e00459-13, 2013.

    DOI: 10.1128/mBio.00459-13

  492. J. Watrous, F. Alexandrov, P. C. Dorrestein.
    Microbial metabolic exchange in 3D.
    ISME Journal, 7(4):770-780, 2013.

    DOI: 10.1038/ismej.2012.155

  493. J. Watrous, P. Roach, B. S. Heath, F. Alexandrov, J. Laskin, P. C. Dorrestein.
    Metabolic Profiling Directly from the Petri Dish Using Nanospray Desorption Electrospray Ionization Imaging Mass Spectrometry.
    Analytical Chemistry, 85(21), 10385–10391, 2013.

    DOI: 10.1021/ac4023154

  494. K. Weinert, H. Blum, T. Jansen, A. Rademacher.
    Simulation based optimization of the NC-shape grinding process with toroid grinding wheels.
    Production Engineering, Research and Development, 1(3):245-252, 2007.
  495. H. Wernsing, C. Büskens.
    Parameter Identification for Finite Element Based Models in Dry Machining Applications.
    Procedia CIRP, 31:328-333, Elsevier, 2015.

    DOI: 10.1016/j.procir.2015.03.037

  496. H. Wernsing, M. Gulpak, C. Büskens, J. Sölter, E. Brinksmeier.
    Enhanced method for the evaluation of the thermal impact of dry machining processes.
    Production Engineering - Research and Development, , Springer Verlag, 2014.

    DOI: 10.1007/s11740-013-0523-x

  497. M. Westphal, W. Brannath.
    Evaluation of Multiple Prediction Models: A Novel View on Model Selection and Performance Assessment.
    Statistical Methods in Medical Research, , 2019.

    DOI: 10.1177/0962280219854487

  498. M. Wöbbekind, A. Kemper, C. Büskens, M. Schollmeyer.
    Nonlinear Parameter Identification for Ordinary Differential Equations.
    PAMM, 13(1), 457–458 S., WILEY-VCH, 2013.

    DOI: 10.1002/pamm.201310221

  499. M. Wolff.
    On Build-up of Epidemiologic Models - Development of a SEI^3RSD model for the Spread of SARS-CoV-2.
    ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, , 36 S., WILEY-VCH, 2020.

    DOI: 10.1002/zamm.202000230

  500. M. Wolff, C. Acht, M. Böhm, S. Meier.
    Modelling of carbon diffusion and ferritic phase transformations in an unalloyed hypoeutectoid steel.
    Archives of Mechanics, 59(4):435-466, 2007.
  501. M. Wolff, M. Böhm.
    Continuous bodies with thermodynamically active singular sharp interfaces .
    Mathematics and Mechanics of Solids, 22:434-476, 2017.
  502. M. Wolff, M. Böhm.
    On the singularity of the Leblond model for TRIP and its influence on numerical calculations.
    Journal of Materials Engineering and Performance, 14:119-122, 2005.
  503. M. Wolff, M. Böhm.
    Transformation-induced plasticity: Modelling and analysis in 3-d case with more than two phases .
    PAMM, 6(1):415-416, 2006.
  504. M. Wolff, M. Böhm.
    Umwandlungsplastizität bei Stählen im Konzept der Thermoelasto-Plastizität modelliert mit dem Ansatz einer Zwischenkonfiguration.
    Technische Mechanik, 23(1):29-48, 2003.
  505. M. Wolff, M. Böhm, S. Bökenheide, D. Lammers, T. Linke.
    An implicit algorithm to verify creep and TRIP behavior of steel using uniaxial experiments.
    ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 92(5):355-379, Wiley, 2012.

    DOI: 10.1002/zamm.201100083

  506. M. Wolff, M. Böhm, H. Altenbach.
    Application of the Müller-Liu entropy principle to gradient-damage models in the thermo-elastic case.
    International Journal of Damage Mechanics, 27(3):387-408, 2018.

    DOI: 10.1177/1056789516679495

  507. M. Wolff, M. Böhm, B. Suhr.
    Comparison of different approaches to transformation-induced plasticity in steel.
    Materialwissenschaft und Werkstofftechnik, 40(5):454-459, WILEY-VCH, 2009.

    DOI: 10.1002/mawe.200900476

  508. M. Wolff, M. Böhm, F. Frerichs.
    Dimensional analysis of a model problem in thermoelasto-plasticity for cylindrical bodies under heating and cooling.
    ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 88(10):758-775, 2008.
  509. M. Wolff, M. Böhm, M. Dalgic, I. Hüßler.
    Evaluation of models for TRIP and stress-dependent transformation behaviour for the martensitic transformation of the steel 100Cr6.
    Computational Materials Science, 43:108-114, 2008.
  510. M. Wolff, M. Böhm, R. Mahnken , B. Suhr.
    Implementation of an algorithm for general material behavior of steel taking interaction of plasticity and transformation-induced plasticity into account.
    International Journal for Numerical Methods in Engineering, 87:1183-1206, WILEY-VCH, 2011.

    DOI: 10.1002/nme.3154

  511. M. Wolff, M. Böhm, D. Helm.
    Material behavior of steel – Modeling of complex phenomena and thermodynamic consistency.
    International Journal of Plasticity, 24:746-774, 2008.
  512. M. Wolff, M. Böhm, G. Löwisch, A. Schmidt.
    Modelling and testing of transformation-induced plasticity and stress-dependent phase transformations in steel via simple experiments.
    Computational Materials Science, 32:604-610, 2005.
  513. M. Wolff, M. Böhm, A. Schmidt.
    Modelling of steel phenomena and its interactions – an internal-variable approach.
    Materialwissenschaft und Werkstofftechnik, 37(1):147-151, 2005.
  514. M. Wolff, M. Böhm, M. Dalgic, G. Löwisch, N. Lysenko, J. Rath.
    Parameter identification for a TRIP model with backstress.
    Computational Materials Science, 37:37-41, 2006.
  515. M. Wolff, M. Böhm, A. Schmidt.
    Phase transitions and transformation-induced plasticity of steel in the framework of continuum mechanics.
    Journal de Physique, 4(120):145-152, 2004.
  516. M. Wolff, M. Böhm, S. Bökenheide, M. Dalgic.
    Some Recent Developments in Modelling of Heat-Treatment Phenomena in Steel within the Collaborative Research Centre SFB 570 "Distortion Engineering".
    Materialwissenschaft und Werkstofftechnik, 43(1):136-142, WILEY-VCH, 2012.

    DOI: 10.1002/mawe.201100901

  517. M. Wolff, M. Böhm, L. Taleb.
    Thermodynamic Consistency of Two-mechanism Models in the Non-isothermal Case.
    Technische Mechanik, 31(1):58-80, 2011.

    online unter: http://www.uni-magdeburg.de/ifme/zeitschrift_tm/2011_Heft1/07_Wolff.html

  518. M. Wolff, M. Böhm, M. Dalgic, G. Löwisch, J. Rath.
    TRIP and phase evolution for the pearlitic transformation of the steel 100Cr6 under step-wise loads.
    Materialwissenschaft und Werkstofftechnik, 37(1):128-133, 2005.
  519. M. Wolff, M. Böhm, S. Bökenheide, N. H. Kröger.
    Two-Mechanism Approach in Thermo-Viscoelasticity with Internal Variables.
    Technische Mechanik, 32(2):608-621, 2012.

    online unter: http://www.uni-magdeburg.de/ifme/zeitschrift_tm/2012_Heft2_5/45_Wolff.html

  520. M. Wolff, M. Böhm, M. Dalgic, G. Löwisch, J. Rath.
    Validation of a TRIP model with backstress for the pearlitic transformation of the steel 100Cr6 under step-wise loads .
    Computational Materials Science, 39:29-34, 2007.
  521. M. Wolff, S. Bökenheide, M. Böhm.
    Some new extensions to multi-mechanism models for plastic and viscoplastic material behavior under small strains.
    Continuum Mechanics and Thermodynamics, 28:821-852, 2016.

    DOI: 10.1007/s00161-015-0418-5
    online unter: http://dx.doi.org/10.1007/s00161-015-0418-5

  522. M. Wolff, A. Schmidt, M. Böhm.
    Thermo-mechanical behaviour of steel including phase transitions and transformation-induced plasticity.
    PAMM, 2(1):206-207, 2003.
  523. M. Wolff, B. Suhr, C. Simsir.
    Parameter identification for an Armstrong-Frederick hardening law for supercooled austenite of SAE 52100 steel.
    Computational Materials Science, 50:487-495, Elsevier, 2010.

    DOI: 10.1016/j.commatsci.2010.09.009

  524. M. Wolff, L. Taleb.
    Consistency for two multi-mechanism models in isothermal plasticity .
    International Journal of Plasticity, 24:2059-2083, Elsevier, 2008.

    DOI: 10.1016/j.ijplas.2008.03.001
    online unter: http://www.sciencedirect.com/science/article/pii/S0749641908000375#

  525. B. Zhang, R. Zhang.
    A New Integral Equation Formulation for Scattering by Penetrable Diffraction Gratings.
    Journal of Computational Mathematics, 36(1):110-127, 2018.

    online unter: http://www.global-sci.org/jcm/galley/JCM2016-0501.pdf

  526. B. Zhang, R. Zhang.
    An FFT-based algorithm for efficient computation of Green's functions for the Helmholtz and Maxwell's equations in periodic domains.
    SIAM Journal on Scientific Computing, 40(3):B915-B941, SIAM, 2018.

    DOI: 10.1137/18M1165621
    online unter: https://epubs.siam.org/doi/abs/10.1137/18M1165621

  527. R. Zhang.
    A High Order Numerical Method for Scattering from Locally Perturbed Periodic Surfaces.
    SIAM Journal on Scientific Computing, 40(4):A2286-A2314, SIAM, 2018.

    DOI: 10.1137/17M1144945
    online unter: https://epubs.siam.org/doi/pdf/10.1137/17M1144945