Galerkin v. least-squares Petrov-Galerkin projection in nonlinear model reduction

Volume: 330, Pages: 693 - 734
Published: Feb 1, 2017
Abstract
Least-squares Petrov-Galerkin (LSPG) model-reduction techniques such as the Gauss-Newton with Approximated Tensors (GNAT) method have shown promise, as they have generated stable, accurate solutions for large-scale turbulent, compressible flow problems where standard Galerkin techniques have failed. However, there has been limited comparative analysis of the two approaches. This is due in part to difficulties arising from the fact that Galerkin...
Paper Details
Title
Galerkin v. least-squares Petrov-Galerkin projection in nonlinear model reduction
Published Date
Feb 1, 2017
Volume
330
Pages
693 - 734
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