Parallel Lagrange--Newton--Krylov--Schur Methods for PDE-Constrained Optimization. Part I: The Krylov--Schur Solver

Large-scale optimization of systems governed by partial differential equations (PDEs) is a frontier problem in scientific computation. Reduced quasi-Newton sequential quadratic programming (SQP) methods are state-of-the-art approaches for such problems. These methods take full advantage of existing...

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Bibliographic Details
Published in:SIAM journal on scientific computing Vol. 27; no. 2; pp. 687 - 713
Main Authors: Biros, George, Ghattas, Omar
Format: Journal Article
Language:English
Published: Philadelphia, PA Society for Industrial and Applied Mathematics 01.01.2005
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ISSN:1064-8275, 1095-7197
Online Access:Get full text
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