Parallel Full Space SQP Lagrange--Newton--Krylov--Schwarz Algorithms for PDE-Constrained Optimization Problems

Optimization problems constrained by nonlinear partial differential equations have been the focus of intense research in scientific computing lately. Current methods for the parallel numerical solution of such problems involve sequential quadratic programming (SQP), with either reduced or full space...

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Bibliographic Details
Published in:SIAM journal on scientific computing Vol. 27; no. 4; pp. 1305 - 1328
Main Authors: Prudencio, Ernesto E., Byrd, Richard, Cai, Xiao-Chuan
Format: Journal Article
Language:English
Published: Philadelphia, PA Society for Industrial and Applied Mathematics 01.01.2006
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ISSN:1064-8275, 1095-7197
Online Access:Get full text
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