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Preconditioned least‐squares Petrov–Galerkin reduced order models
Work
Year: 2022
Type: article
Abstract: In this article, we introduce a methodology for improving the accuracy and efficiency of reduced order models (ROMs) constructed using the least‐squares Petrov–Galerkin (LSPG) projection method throu... more
Source: International Journal for Numerical Methods in Engineering
Authors Payton Lindsay, Jeffrey A. Fike, Irina Tezaur, Kevin Carlberg
Institutions Sandia National Laboratories California, Sandia National Laboratories, University of Washington Applied Physics Laboratory
Cites: 66
Cited by: 10
Related to: 10
FWCI: 1.336
Citation percentile (by year/subfield): 75.8
Topic: Model Reduction and Neural Networks
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: bronze
Funders National Nuclear Security Administration, Sandia National Laboratories
Grant IDS DE‐NA0003525,