Publikationen des Jahres 2020
Zeitschriftenartikel (25)
- 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. - M. Beckmann, P. Maaß, J. Nickel.
Error analysis for filtered back projection reconstructions in Besov spaces.
Inverse Problems, 37 014002 37(1), IOPscience, 2020. - 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 - 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 PhysicsDOI: 10.5194/acp-2020-116
- C. Brauer, D. Lorenz.
Complexity and applications of the homotopy principle for uniformly constrained sparse minimization.
Applied Mathematics & Optimization, 82(3):1-34, 2020. - 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. - 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 - 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 - 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 - 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. - 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. - 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
- T. Kluth, H. Albers.
Simulation of non-linear magnetization effects and parameter identification problems in magnetic particle imaging.
Erscheint in Oberwolfach Reports - 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. - 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 - 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, 13(8), 2084, 2020.DOI: 10.3390/en13082084
- 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. - 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. - D. Otero Baguer, J. Leuschner, M. Schmidt.
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods.
Inverse Problems, 36(9), IOPscience, 2020. - G. Rigaud, B. Hahn.
Reconstruction Algorithm For 3D Compton Scattering Imaging With Incomplete Data.
Erscheint in Inverse Problems in Science and Engineering - L. Siemer, I. Ovsyannikov, J. Rademacher.
Inhomogeneous domain walls in spintronic nanowires.
Nonlinearity, 2905 33(6), IOPscience, 2020. - 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 - M. Steinherr Zazo, J. Rademacher.
Lyapunov coefficients for Hopf bifurcations in systems with piecewise smooth nonlinearity.
Erscheint in SIAM Journal on Applied Dynamical Systemsonline unter: https://arxiv.org/abs/2006.07085
- J. von Schroeder, T. Dickhaus.
Efficient Calculation of the Joint Distribution of Order Statistics.
Computational Statistics & Data Analysis, 144, Elsevier, 2020. - 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.