Preprints 2021

On the weighted Bojanov–Chebyshev Problem and the sum of translates method of Fenton

Farkas, B. and Nagy, B. and Révész, Sz. Gy.

A HOMEOMORPHISM THEOREM FOR SUMS OF TRANSLATES

Farkas, B. and Nagy, B. and Révész, Sz.

Experimental observation and analysis of the low-frequency source interference pattern

Pereselkov, S. and Kuz'kin, V. and Ehrhardt, M. and Ilya, K.

Does Redundancy in AI Perception Systems Help to Test for Super-Human Automated Driving Performance?

Gottschalk, H. and Rottmann, M. and Saltagic, M.

An Unsupervised Physics-Informed Neural Network to Model COVID-19 Infection and Hospitalization Scenarios

Treibert, S. and Ehrhardt, M.

Generative Modeling of Turbulence

Drygala, C. and Winhart, B. and di Mare, F. and Gottschalk, H.

False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation

Colling, P. and Rottmann, M. and Roese-Koerner, L. and Gottschalk, H.

A Gradient Descent Algorithm for the Heston Model

Clevenhaus, A. and Totzeck, C. and Ehrhardt, M.

A Lattice Boltzmann Method for Relativistic Rarefied Flows in (2+1) Dimensions

Gabbana, A. and Simoni, D., and Succi, S. and Tripiccione, R.

Laplace-Carleson embeddings and infinity-norm admissibility

Jacob, B. and Partington, J.R. and Pott, S. and Rydhe, E. and Schwenninger, F.L.

Background-Foreground Segmentation for Interior Sensing in Automotive Industry

Drygala, C. and Rottmann, M. and Gottschalk, H. and Friedrichs, K. and Kurbiel, T.

A Two-Dimensional Port-Hamiltonian Model for Coupled Heat Transfer

Jäschke, J. and Ehrhardt, M. and Günther, M. and Jacob, B.

A Multilevel Approach To Variance Reduction In The Stochastic Estimation Of The Trace Of A Matrix

Frommer, A. and Nasr Khalil, M. and Ramirez-Hidalgo, G.

A Deep Smoothness WENO Method with Applications in Option Pricing

Kossaczka, T. and Ehrhardt, M. and Günther, M.

Enhanced fifth order WENO Shock-Capturing Schemes with Deep Learning

Kossaczka, T. and Ehrhardt, M. and Günther, M.

Asynchronous Truncated Multigrid-reduction-in-time (AT-MGRIT)

Hahne, J. and Southworth, B.S. and Friedhoff, S.

A Nonstandard Finite Difference Scheme for the SVICDR model to predict COVID-19 dynamics

Treibert, S.M. and Brunner, H. and Ehrhardt, M.

Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors

Riedlinger, T. and Rottmann, M. and Schubert M. and Gottschalk, H.

Weighted Relaxation for Multigrid Reduction in Time

Sugiyama, M. and Schroder, J.B. and Southworth, B.S. and Friedhoff, S.

Software architecture for human-centered reliability assessment for neural networks in autonomous driving

Brüggemann, D. and Chan, R. and Gottschalk, H. and Bracke, S.

False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates

Maag, K.

A parallel Sparse Grid Combination Technique using the Parareal Algorithm

Clevenhaus, A. and Ehrhardt, M. and, Günther, M.

Discrete port-Hamiltonian Coupled Heat Transfer

Jäschke, J. and Ehrhardt, M. and, Günther, M. and Jacob, B.

A Neural Network Enhanced WENO Method for Nonlinear Degenerate Parabolic Equations

Kossacká, T. and Ehrhardt, M. and, Günther, M.

Correlation Matrices driven by Stochastic Isospectral Flows

Muniz, M. and Ehrhardt, M. and, Günther, M.

The Parareal Algorithm and the Sparse Grid Combination Technique in the Application of the Heston Model

Clevenhaus, A. and Ehrhardt, M. and, Günther, M.

Chan, R. and Lis, K. and Uhlemeyer, S. and Blum, H. and Honari, S. and Siegwart, R. and Fua, P. and Salzmann, M. and Rottmann, M.

Stochastic Runge-Kutta–Munthe-Kaas methods in the modelling of perturbed rigid bodies

Muniz, M. and Ehrhardt, M. and, Günther, M. and Winkler, R.

Observability for port-Hamiltonian systems

Jacob, B. and Zwart, H.

Stability of the multidimensional wave equation in port-Hamiltonian modelling

Jacob, B. and Skrepek, N.

Effective Markovian Projection: Application to CMS Spread Options and Mid-Curve Swaptions

Felpel, M. and Kienitz J. and McWalter, T.A.

A Port-Hamiltonian Formulation of Coupled Heat Transfer

Jäschke, J. and Ehrhardt, M. and Günther, M. and Jacob, B.

Event-based MILP models for ride-hailing applications

Gaul, D. and Klamroth, K. and Stiglmayr, M.

MULTIRATE LINEARLY-IMPLICIT GARK SCHEMES

Günther, M. and Sandu, A.

Reflectionless propagation of Manakov solitons on a line: A model based on the concept of transparent boundary conditions

Sabirov, K.K. and Yusupov, J.R. and Aripov, M.M. and Ehrhardt, M. and Matrasulov, D.U.

Reduced Order Multirate Schemes for Coupled Differential-Algebraic Systems

Bannenberg, M.W.F.M. and Ciccazzo, A. and Günther, M.

Higher Strong Order Methodsfor Itô SDEs on Matrix Lie Groups

Muniz, M. and Ehrhardt, M. and Günther, M. and Winkler, R.

Enhanced fifth order WENO Shock-Capturing Schemes with Deep Learning

Kossaczka, T. and Ehrhardt, M. and Günther, M.

Asymmetry in stochastic volatility models with threshold and time-dependent correlation

Schäfers, T. and Teng, L.