Publications of Carolin Penke

Benner, P., Nakatsukasa, Y., & Penke, C. (2023)A Structure-Preserving Divide-and-Conquer Method for Pseudosymmetric MatricesSIAM journal on Matrix Analysis and Applications, 44 (3), 1245–1270doi: 10.1137/22M1484985.

Benner, P., Nakatsukasa, Y., & Penke, C. (2022)Stable and Efficient Computation of Generalized Polar DecompositionsSIAM Journal on Matrix Analysis and Applications (SIMAX), 43 (3), 1058–1083doi: 10.1137/21M1411986.

Benner, P. & Penke, C. (2022)Efficient and Accurate Algorithms for Solving the Bethe-Salpeter Eigenvalue Problem for Crystalline SystemsJournal of Computational and Applied Mathematics, 400, 113650, 17 pagesdoi: 10.1016/j.cam.2021.113650.

Penke, C., Marek, A., Vorwerk, C., Draxl, C., & Benner, P. (2020)High Performance Solution of Skew-symmetric Eigenvalue Problems with Applications in Solving the Bethe-Salpeter Eigenvalue ProblemParallel Computing, 96, 102639, 8 pagesdoi: 10.1016/j.parco.2020.102639.

Köhler, M., Penke, C., Saak, J., & Ezzatti, P. (2016)Energy-Aware Solution of Linear Systems with Many Right Hand SidesComputer Science - Research and Development, 31 (4), 215–235doi: 10.1007/s00450-016-0326-3.

Benner, P., Köhler, M., & Penke, C. (2018)GPU-Accelerated and Storage-Efficient Implementation of the QR DecompositionParallel Computing is Everywhere329–338Amsterdam: IOS Pressdoi: 10.3233/978-1-61499-843-3-329.

Benner, P. & Penke, C. (2021)GR Decompositions and their Relations to Cholesky-like FactorizationsIn: Proceedings in Applied Mathematics & Mechanics, e202000065, 2 pagesdoi: 10.1002/pamm.202000065.

Benner, P., Marek, A., & Penke, C. (2018)Improving the Performance of Numerical Algorithms for the Bethe-Salpeter Eigenvalue ProblemIn: Proceedings in Applied Mathematics and Mechanics, 1–2doi: 10.1002/pamm.201800255.

Benner, P., Köhler, M., & Penke, C. (2017)GPU-Accelerated Implementation of the Storage-Efficient QR DecompositionIn: Book of Abstracts of 2nd Workshop on Power-Aware Computing, Ringberg Castle, 1–6doi: 10.5281/zenodo.815816.

Penke, C. (2022)Efficient Algorithms for Solving Structured Eigenvalue Problems Arising in the Description of Electronic ExcitationsPhD Thesis, Otto-von-Guericke Universität, Magdeburgdoi: 10.25673/86270.

Penke, C. (2017)GPU-Accelerated Computation of the Matrix Disc Function and its ApplicationsMaster's Thesis, Otto-von-Guericke-Universität, Magdeburg.

Penke, C. (2014)Implementierung der Newton-Iteration zur Berechnung des Signums eines Matrix-Büschels mit Hilfe der MAGMA-SoftwarebibliothekBachelor Thesis, Otto-von-Guericke Universität, Magdeburg.