Uncontrolled inexact information within bundle methods
We consider convex non-smooth optimization problems where additional information with uncontrolled accuracy is readily available. It is often the case when the objective function is itself the output of an optimization solver, as for large-scale energy optimization problems tackled by decomposition....
Guardado en:
Autores principales: | , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Elsevier
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/b0e12dcf7e334e8aba7a637742b02bad |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:b0e12dcf7e334e8aba7a637742b02bad |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:b0e12dcf7e334e8aba7a637742b02bad2021-12-02T05:00:58ZUncontrolled inexact information within bundle methods2192-440610.1007/s13675-015-0060-9https://doaj.org/article/b0e12dcf7e334e8aba7a637742b02bad2017-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2192440621000733https://doaj.org/toc/2192-4406We consider convex non-smooth optimization problems where additional information with uncontrolled accuracy is readily available. It is often the case when the objective function is itself the output of an optimization solver, as for large-scale energy optimization problems tackled by decomposition. In this paper, we study how to incorporate the uncontrolled linearizations into (proximal and level) bundle algorithms in view of generating better iterates and possibly accelerating the methods. We provide the convergence analysis of the algorithms using uncontrolled linearizations, and we present numerical illustrations showing they indeed speed up resolution of two stochastic optimization problems coming from energy optimization (two-stage linear problems and chance-constrained problems in reservoir management).Jérôme MalickWelington de OliveiraSofia ZaourarElsevierarticle65K0549J5249M2790C1590C2590C27Applied mathematics. Quantitative methodsT57-57.97Electronic computers. Computer scienceQA75.5-76.95ENEURO Journal on Computational Optimization, Vol 5, Iss 1, Pp 5-29 (2017) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
65K05 49J52 49M27 90C15 90C25 90C27 Applied mathematics. Quantitative methods T57-57.97 Electronic computers. Computer science QA75.5-76.95 |
spellingShingle |
65K05 49J52 49M27 90C15 90C25 90C27 Applied mathematics. Quantitative methods T57-57.97 Electronic computers. Computer science QA75.5-76.95 Jérôme Malick Welington de Oliveira Sofia Zaourar Uncontrolled inexact information within bundle methods |
description |
We consider convex non-smooth optimization problems where additional information with uncontrolled accuracy is readily available. It is often the case when the objective function is itself the output of an optimization solver, as for large-scale energy optimization problems tackled by decomposition. In this paper, we study how to incorporate the uncontrolled linearizations into (proximal and level) bundle algorithms in view of generating better iterates and possibly accelerating the methods. We provide the convergence analysis of the algorithms using uncontrolled linearizations, and we present numerical illustrations showing they indeed speed up resolution of two stochastic optimization problems coming from energy optimization (two-stage linear problems and chance-constrained problems in reservoir management). |
format |
article |
author |
Jérôme Malick Welington de Oliveira Sofia Zaourar |
author_facet |
Jérôme Malick Welington de Oliveira Sofia Zaourar |
author_sort |
Jérôme Malick |
title |
Uncontrolled inexact information within bundle methods |
title_short |
Uncontrolled inexact information within bundle methods |
title_full |
Uncontrolled inexact information within bundle methods |
title_fullStr |
Uncontrolled inexact information within bundle methods |
title_full_unstemmed |
Uncontrolled inexact information within bundle methods |
title_sort |
uncontrolled inexact information within bundle methods |
publisher |
Elsevier |
publishDate |
2017 |
url |
https://doaj.org/article/b0e12dcf7e334e8aba7a637742b02bad |
work_keys_str_mv |
AT jeromemalick uncontrolledinexactinformationwithinbundlemethods AT welingtondeoliveira uncontrolledinexactinformationwithinbundlemethods AT sofiazaourar uncontrolledinexactinformationwithinbundlemethods |
_version_ |
1718400848478863360 |