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Abstract
This paper presents a minimization method based on the idea of partitioned updating of the Hessian matrix in the case where the objective function can be decomposed in a sum of convex "element" functions. This situation occurs in a large class of practical problems including nonlinear finite elements calculations. Some theoretical and algorithmic properties of the update are discussed and encouraging numerical results are presented. © 1982 Springer-Verlag.
Original language | English |
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Pages (from-to) | 119-137 |
Number of pages | 19 |
Journal | Numerische Mathematik |
Volume | 39 |
DOIs | |
Publication status | Published - 1 Feb 1982 |
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Dive into the research topics of 'Partitioned variable metric updates for large structured optimization problems'. Together they form a unique fingerprint.Projects
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ADALGOPT: ADALGOPT - Advanced algorithms in nonlinear optimization
Sartenaer, A. (CoI) & Toint, P. (CoI)
1/01/87 → …
Project: Research Axis