Iterative across-time solution of linear differential equations: Krylov subspace versus waveform relaxation

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Abstract

The aim of this paper is two-fold. First, we propose an efficient implementation of the continuous time waveform relaxation (WR) method based on block Krylov subspaces. Second, we compare this new WR–Krylov implementation against Krylov subspace methods combined with the shift and invert (SAI) technique. Some analysis and numerical experiments are presented. Since the WR–Krylov and SAI–Krylov methods build up the solution simultaneously for the whole time interval and there is no time stepping involved, both methods can be seen as iterative across-time methods. The key difference between these methods and standard time integration methods is that their accuracy is not directly related to the time step size.

Keywords

Krylov subspace methods
Waveform relaxation
Matrix exponential
Low rank approximation
Residual
Anderson acceleration

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Supported by the Russian Federal Program “Scientific and scientific-pedagogical personnel of innovative Russia”, grant  8500, by the RFBR grants 12-01-00565-a, 12-01-91333, 13-01-12061, 14-01-00804 and is based on work funded by Skolkovo Institute of Science and Technology (SkolTech) within the framework of the SkolTech/MIT Initiative.