Publikationen des Jahres 2017

Zeitschriftenartikel (22)

1. 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

2. 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

3. 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

4. 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

5. S. Geffken, M. Knauer, C. Büskens.
   Non-linear Optimisation in Space Engineering.
   Mathematics Today, October 2017 53(5):212-216, 2017.
6. 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

7. 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

8. 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

9. 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

10. 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

11. 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

12. 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

13. 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

14. 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

15. 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

16. 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

17. 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

18. D. Lorenz, J. Lorenz, C. Brauer.
    Rank-optimal weighting or “How to be best in the OECD Better Life Index?”.
    Social Indicators Research, 134:75-92, 2017.

    DOI: 10.1007/s11205-016-1416-0
    online unter: http://arxiv.org/abs/1608.04556

19. 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.
20. 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

21. 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.
22. M. Wolff, M. Böhm.
    Continuous bodies with thermodynamically active singular sharp interfaces .
    Mathematics and Mechanics of Solids, 22:434-476, 2017.