The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows
Abstract
The Gauss--Newton with approximated tensors (GNAT) method is a nonlinear model reduction method that operates on fully discretized computational models. It achieves dimension reduction by a Petrov--Galerkin projection associated with residual minimization; it delivers computational efficency by a hyper-reduction procedure based on the `gappy POD' technique. Originally presented in Ref. [1], where it was applied to implicit nonlinear...
Paper Details
Title
The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows
Published Date
Jun 1, 2013
Volume
242
Pages
623 - 647
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