A low-rank solver for the stochastic unsteady Navier–Stokes problem

Here we study a low-rank iterative solver for the unsteady Navier–Stokes equations for incompressible flows with a stochastic viscosity. The equations are discretized using the stochastic Galerkin method, and we consider an all-at-once formulation where the algebraic systems at all the time steps ar...

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Veröffentlicht in:	Computer methods in applied mechanics and engineering 2020-03, Vol.364 (C)
Hauptverfasser:	Elman, Howard C., Su, Tengfei
Format:	Artikel
Sprache:	eng
Schlagworte:	all-at-once system low-rank tensor approximation MATHEMATICS AND COMPUTING stochastic Galerkin method time-dependent Navier–Stokes
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