Adaptive sparse interpolation for accelerating nonlinear stochastic reduced-order modeling with time-dependent bases

Stochastic reduced-order modeling based on time-dependent bases (TDBs) has proven successful for extracting and exploiting low-dimensional manifold from stochastic partial differential equations (SPDEs). The nominal computational cost of solving a rank-r reduced-order model (ROM) based on time-depen...

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Vydáno v:	Computer methods in applied mechanics and engineering Ročník 405; s. 115813
Hlavní autoři:	Naderi, Mohammad Hossein, Babaee, Hessam
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 15.02.2023
Témata:	Reduced-order models (ROMs) Sparse sampling Time-dependent bases (TDB) Uncertainty quantification (UQ) Reduced-order models (ROMs) Sparse sampling Uncertainty quantification (UQ) Time-dependent bases (TDB)
ISSN:	0045-7825
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