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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| Published in: | SIAM journal on scientific computing Vol. 27; no. 4; pp. 1305 - 1328 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Philadelphia, PA
Society for Industrial and Applied Mathematics
01.01.2006
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| Subjects: | |
| ISSN: | 1064-8275, 1095-7197 |
| Online Access: | Get full text |
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