Dr. Frederic Matter
Mitglied bis 2022
Forschungsinteressen
- Compressed Sensing
- Sparse Optimization
Projekte
- DFG Schwerpunktprogramm SPP 1798: Compressed Sensing in der Informationsverarbeitung (CoSIP)
Teilprojekt: Nutzung von Struktur im Compressed Sensing durch Nebenbedingungen – von der Analyse zum Systementwurf (EXPRESS II) - SCIP-SDP: Ein Plugin für gemischt-ganzzahlige semidefinite Optimierung in SCIP
Publikationen
- Sparse Recovery Under Side Constraints Using Null Space Properties, F. Matter, Dissertation, TU Darmstadt, 2022, Verlag Dr. Hut.
- Ambiguities in Direction-of-Arrival Estimation with Linear Arrays, F. Matter, T. Fischer, M. Pesavento, and M. E. Pfetsch, IEEE Transactions on SIgnal Processing, 2022, DOI: 10.1109/TSP.2022.3200548
- Presolving for Mixed-Integer Semidefinite Optimization, F. Matter, M. E. Pfetsch, INFORMS Journal on Optimization, 2022, DOI: 10.1287/ijoo.2022.0079
- The SCIP Optimization Suite 8.0, K. Bestuzheva, M. Besançon, W.-K. Chen, A. Chmiela, T. Donkiewicz, J. van Doornmalen, L. Eifler, O. Gaul, G. Gamrath, A. Gleixner, L. Gottwald, C. Graczyk, K. Halbig, A. Hoen, C. Hojny, R. van der Hulst, T. Koch, M. Lübbecke, S. J. Maher, F. Matter, E. Mühmer, B. Müller, M. E. Pfetsch, D. Rehfeldt, S. Schlein, F. Schlösser, F. Serrano, Y. Shinano, B. Sofranac, M. Turner, S. Vigerske, F. Wegscheider, P. Wellner, D. Weninger, and J. Witzig, 2021, Technical Report, available at Optimization Online
- Recovery under Side Constraints, K. Ardah, M. Haardt, T. Liu, F. Matter, M. Pesavento, and M. E. Pfetsch, 2021, Preprint, available at arXiv
- Block-sparse Recovery of Semidefinite Systems and Generalized Null Space Conditions, J. Heuer, F. Matter, M. E. Pfetsch, and T. Theobald, Linear Algebra and its Applications, 2020, DOI:10.1016/j.laa.2020.06.028
- The SCIP Optimization Suite 7.0, G. Gamrath, D. Anderson, K. Bestuzheva, W.-K. Chen, L. Eifler, M. Gasse, P. Gemander, A. Gleixner, L. Gottwald, K. Halbig, G. Hendel, C. Hojny, T. Koch, P. L. Bodic, S. J. Maher, f. Matter, M. Miltenberger, E. Mühmer, B. Müller, M. E. Pfetsch, F. Schlösser, F. Serrano, Y. Shinano, C. Tawfik, S. Vigerske, F. Wegscheider, D. Weninger, and J. Witzig, 2020, Technical Report, available at Optimization Online
- Knapsack Polytopes – A Survey, C. Hojny, T. Gally, O. Habeck, H. Lüthen, F. Matter, M. E. Pfetsch, and A. Schmitt, Annals of Operations Research, 2019, DOI: 10.1007/s10479-019-03380-2
- Joint Antenna Selection and Phase-Only Beamforming Using Mixed-Integer Nonlinear Programming, T. Fischer, G. Hegde, F. Matter, M. Pesavento, M. E. Pfetsch, and A. M. Tillmann, WSA 2018; 22nd International ITG Workshop on Smart Antennas, Bochum, Germany, March 2018, online version
Vorträge
- Solving complex-valued l0 minimization problems with constant modulus constraints (Folien (wird in neuem Tab geöffnet)), SCIP Workshop 2018, 7. März 2018, Aachen
- Solving complex-valued l0 minimization problems with constant modulus constraints, ISMP 2018, 2. Juli 2018, Bordeaux
- Detection of Ambiguities in Linear Arrays in Signal Processing. SIAM AG 2019, 13. Juli 2019, Bern
- Detection of Ambiguities in Linear Arrays in Signal Processing. FRICO 2019, 19. September 2019, Kaiserslautern
- A computational study of solution approaches for computing the Restricted Isometry Property using a mixed-integer SDP,EURO 2021, 12. Juli 2021, online