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1994 | OriginalPaper | Buchkapitel

Improving the Decomposition of Partially Separable Functions in the Context of Large-Scale Optimization: a First Approach

verfasst von : Andrew R. Conn, Nick Gould, Philippe L. Toint

Erschienen in: Large Scale Optimization

Verlag: Springer US

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This paper examines the question of modifying the decomposition of a partially separable function in order to improve computational efficiency of large-scale minimization algorithms using a conjugate-gradient inner iteration. The context and motivation are given and the application of a simple strategy discussed on examples extracted from the CUTE test problem collection.

Metadaten
Titel
Improving the Decomposition of Partially Separable Functions in the Context of Large-Scale Optimization: a First Approach
verfasst von
Andrew R. Conn
Nick Gould
Philippe L. Toint
Copyright-Jahr
1994
Verlag
Springer US
DOI
https://doi.org/10.1007/978-1-4613-3632-7_5

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