Applied and Computational Mathematics (ACM)

Publikationen



2021
T. Kossaczká, M. Ehrhardt and M. Günther, "Enhanced fifth order WENO shock-capturing schemes with deep learning", Results in Applied Mathematics, vol. 12, pp. 100201, 2021. Elsevier.
A. Sandu, M. Günther and S. Roberts, "Linearly implicit GARK schemes", Applied Numerical Mathematics, vol. 161, pp. 286–310, 2021. Elsevier.
M. Clemens, F. Kasolis, M. Henkel, B. Kähne and M. Günther, "A two-step Darwin model time-domain formulation for quasi-static electromagnetic field calculations", IEEE Transactions on Magnetics, vol. 57, no. 6, pp. 1–4, 2021. IEEE.
M. Bannenberg and A. Ciccazzo, "Reduced order multirate schemes for coupled differential-algebraic systems", Applied Numerical Mathematics, vol. 168, pp. 104–114, 2021. North-Holland.
M. Günther, A. Sandu and A. Zanna, "Symplectic GARK methods for Hamiltonian systems", Preprint, 2021.
M. Bannenberg, A. Ciccazzo and M. Günther, "Coupling of model order reduction and multirate techniques for coupled dynamical systems", Applied Mathematics Letters, vol. 112, pp. 106780, 2021. Elsevier.
M. Bannenberg and A. Ciccazzo, "A Combination of Model Order Reduction and Multirate Techniques for Coupled Dynamical Systems" in Scientific Computing in Electrical Engineering: SCEE 2020, Eindhoven, The Netherlands, February 2020, Springer International Publishing, 2021, pp. 191–199.
M. Günther, A. Sandu, K. Schäfers and A. Zanna, "Symplectic GARK methods for partitioned Hamiltonian systems", Preprint, 2021.
2020
P. Putek, A. Bartel and M. Günther, "Shape optimization of a PM synchronous machine under probabilistic constraints" in Scientific Computing in Electrical Engineering: SCEE 2018, Taormina, Italy, September 2018, Nicosia, Giuseppe and Romano, Vittorio, Eds. Springer Cham, 2020, pp. 243–253.
L. Teng, A. Lapitckii and M. Günther, "A multi-step scheme based on cubic spline for solving backward stochastic differential equations", Applied Numerical Mathematics, vol. 150, pp. 117–138, 2020. Elsevier.
L. Teng, X. Wu, M. Günther and M. Ehrhardt, "A new methodology to create valid time-dependent correlation matrices via isospectral flows", ESAIM: Mathematical Modelling and Numerical Analysis, vol. 54, no. 2, pp. 361–371, 2020. EDP Sciences.
M. Ehrhardt, "Elliptical and Archimedean copula models: An application to the price estimation of portfolio credit derivatives", Journal of Credit Risk, vol. 17, no. 1, pp. 1–29, 2020. Incisive Media.
M. Ehrhardt, "Valuation of basket credit default swaps under stochastic default intensity models", Advances in Applied Mathematics and Mechanics, vol. 12, no. 5, pp. 1301–1326, 2020. Global Science Press.
M. Ehrhardt, "Dirac particles in transparent quantum graphs: Tunable transport of relativistic quasiparticles in branched structures", Physical Review E, vol. 101, no. 6, pp. 062208, 2020. American Physical Society.
A. Clevenhaus, M. Ehrhardt, M. Günther and D. Ševčovič, "Pricing American options with a non-constant penalty parameter", Journal of Risk and Financial Management, vol. 13, no. 6, pp. 124, 2020. MDPI.
M. Ehrhardt, "Wide-angle mode parabolic equations for the modelling of horizontal refraction in underwater acoustics and their numerical solution on unbounded domains", Journal of Sound and Vibration, vol. 484, pp. 115526, 2020. Academic Press.
M. Günther, R. Höllwieser and F. Knechtli, "Constrained hybrid Monte Carlo algorithms for Gauge-Higgs models", Computer Physics Communications, vol. 254, pp. 107192, 2020. Elsevier.
C. Günther, M. Günther and D. Günther, "Tracing contacts to control the COVID-19 pandemic", Preprint, 2020.
A. Bartel and M. Günther, "Inter/extrapolation-based multirate schemes: A dynamic-iteration perspective" in Progress in Differential-Algebraic Equations II, Reis, Timo and Grundel, Sara and Schöps, Sebastian, Eds. Springer Cham, 2020, pp. 73–90.
J. Kühn, A. Bartel and P. Putek, "A thermal extension of Tellinen’s scalar hysteresis model" in Scientific Computing in Electrical Engineering: SCEE 2018, Taormina, Italy, September 2018, Nicosia, Giuseppe and Romano, Vittorio, Eds. Springer Cham, 2020, pp. 55–63.