In this work, we develop and analyze a nonautonomous mathematical model for the spread
of the new corona-virus disease (COVID-19) in Saudi Arabia. The model includes eight time …

This article focuses on efficient steady-state computations of induction machines. In
particular, the periodic Parareal algorithm with the initial-value coarse problem (PP-IC) is …

This book deals with the analysis and development of numerical methods for the time-
domain analysis of multiphysical effects in superconducting circuits of particle accelerator …

In this article, we introduce the Python framework PyMGRIT, which implements the multigrid-
reduction-in-time (MGRIT) algorithm for solving (non-) linear systems arising from the …

In science and engineering, simulation tasks often involve numerical time integration of
differential equations. Usually, these systems contain different time constants of the involved …

We apply the multigrid-reduction-in-time (MGRIT) algorithm to an eddy current simulation of
a two-dimensional induction machine supplied by a pulse-width-modulation signal. To …

In this paper we formulate and analyze a space-time finite element method for the numerical
simulation of rotating electric machines where the finite element mesh is fixed in a space …

High-temperature superconductors (HTS) have the potential to enable magnetic fields
beyond the current limits of low-temperature superconductors in applications like accelerator …

This paper presents a highly parallelizable parallel-in-time algorithm for efficient solution of
nonlinear time-periodic problems. It is based on the time-periodic extension of the parareal …

In this paper, we present a performance model based on task graphs for various iterative
parallel-in-time (PinT) methods. PinT methods have been developed to speed up the …