Matrix Oriented Reduction of Space-Time Petrov-Galerkin Variational Problems

نویسندگان

چکیده

Variational formulations of time-dependent PDEs in space and time yield (d + 1)-dimensional problems to be solved numerically. This increases the number unknowns as well storage amount. On other hand, this approach enables adaptivity model reduction w.r.t. both type variables. In paper, we show that matrix oriented techniques can significantly reduce computational timings for solving arising linear systems outperforming time-stepping schemes solvers.

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ژورنال

عنوان ژورنال: Lecture notes in computational science and engineering

سال: 2021

ISSN: ['1439-7358', '2197-7100']

DOI: https://doi.org/10.1007/978-3-030-55874-1_104