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Computational advances in polynomial optimization: RAPOSa, a freely available global solver
| dc.contributor.author | González Rodríguez, Brais | |
| dc.contributor.author | Ossorio-Castillo, Joaquin | |
| dc.contributor.author | González-Díaz, Julio | |
| dc.contributor.author | González Rueda, Ángel Manuel | |
| dc.contributor.author | Penas, David R. | |
| dc.contributor.author | Rodríguez-Martínez, Diego | |
| dc.date.accessioned | 2022-12-30T13:30:30Z | |
| dc.date.available | 2022-12-30T13:30:30Z | |
| dc.date.issued | 2022-09 | |
| dc.identifier.citation | González-Rodríguez, B., Ossorio-Castillo, J., González-Díaz, J. et al. Computational advances in polynomial optimization: RAPOSa, a freely available global solver. J Glob Optim (2022). https://doi.org/10.1007/s10898-022-01229-w | es_ES |
| dc.identifier.issn | 0925-5001 | |
| dc.identifier.issn | 1573-2916 | |
| dc.identifier.uri | http://hdl.handle.net/2183/32267 | |
| dc.description.abstract | [Abstract]: In this paper we introduce RAPOSa, a global optimization solver specifically designed for (continuous) polynomial programming problems with box-constrained variables. Written entirely in C++, RAPOSa is based on the Reformulation-Linearization (Sherali and Tuncbilek in J Glob Optim 103:225–249, 1992). We present a description of the main characteristics of RAPOSa along with a thorough analysis of the impact on its performance of various enhancements discussed in the literature, such as bound tightening and SDP cuts. We also present a comparative study with three of the main state-of-the-art global optimization solvers: BARON, Couenne and SCIP. | es_ES |
| dc.description.sponsorship | Ministerio de Ciencia y Tecnología; PID2021-124030NB-C32 | es_ES |
| dc.description.sponsorship | Ministerio de Educación; FPU Grant 17/02643 | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431C-2020-14 | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431G2019/01 | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | Springer Netherlands | es_ES |
| dc.relation.uri | https://doi.org/10.1007/s10898-022-01229-w | es_ES |
| dc.rights | Atribución 3.0 España | es_ES |
| dc.rights | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
| dc.subject | Global optimization | es_ES |
| dc.subject | Polynomial programming | es_ES |
| dc.subject | Reformulation-Linearization Technique (RLT ) | es_ES |
| dc.title | Computational advances in polynomial optimization: RAPOSa, a freely available global solver | es_ES |
| dc.type | info:eu-repo/semantics/article | es_ES |
| dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
| UDC.journalTitle | Journal of Global Optimization | es_ES |
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