Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/7749
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Vicente, Luís N. | - |
dc.date.accessioned | 2009-02-17T11:18:01Z | - |
dc.date.available | 2009-02-17T11:18:01Z | - |
dc.date.issued | 2003 | en_US |
dc.identifier.citation | Optimization and Engineering. 4:3 (2003) 159-175 | en_US |
dc.identifier.uri | https://hdl.handle.net/10316/7749 | - |
dc.description.abstract | The goal of this paper is to organize some of the mathematical and algorithmic aspects of the space-mapping technique for continuous optimization with expensive function evaluations. First, we consider the mapping from the fine space to the coarse space when the models are vector-valued functions and when the space-mapping (nonlinear) least-squares residual is nonzero. We show how the sensitivities of the space mapping can be used to deal with space-mapping surrogates of the fine model. We derive a framework where it is possible to design globally convergent trust-region methods to minimize such fine-model surrogates. | en_US |
dc.language.iso | eng | eng |
dc.rights | openAccess | eng |
dc.title | Space Mapping: Models, Sensitivities, and Trust-Regions Methods | en_US |
dc.type | article | en_US |
dc.identifier.doi | 10.1023/A:1023968629245 | en_US |
item.fulltext | Com Texto completo | - |
item.grantfulltext | open | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.openairetype | article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.orcid | 0000-0003-1097-6384 | - |
Appears in Collections: | FCTUC Matemática - Artigos em Revistas Internacionais |
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