A Low-Rank Solver for the Navier--Stokes Equations with Uncertain Viscosity

DOI10.1137/17M1151912zbMath1442.35568arXiv1710.05812OpenAlexW2767043790WikidataQ126856273 ScholiaQ126856273MaRDI QIDQ4960974

Bedřich Sousedík, Kookjin Lee, Howard C. Elman

Publication date: 24 April 2020

Published in: SIAM/ASA Journal on Uncertainty Quantification (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1710.05812

zbMATH Keywords

Navier-Stokes equationslow-rank approximationstochastic Galerkin method

Mathematics Subject Classification ID

Navier-Stokes equations (35Q30) Iterative numerical methods for linear systems (65F10) Stochastic partial differential equations (aspects of stochastic analysis) (60H15) PDEs with randomness, stochastic partial differential equations (35R60)

Related Items

Stochastic Galerkin Methods for Linear Stability Analysis of Systems with Parametric Uncertainty, Interpolatory tensorial reduced order models for parametric dynamical systems, A stochastic Galerkin method with adaptive time-stepping for the Navier-Stokes equations, An adaptive ANOVA stochastic Galerkin method for partial differential equations with high-dimensional random inputs, Inexact Methods for Symmetric Stochastic Eigenvalue Problems, Stochastic discontinuous Galerkin methods with low-rank solvers for convection diffusion equations, On surrogate learning for linear stability assessment of Navier-Stokes equations with stochastic viscosity.

Uses Software

• IFISS

Cites Work

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