Optimization Methods and Software, Volume 39, Issue 1 (2024)

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Optimization Methods and Software, Volume 39, Issue 1 (2024)

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Special Issue: Advances in Continuous Optimization

Editorial
Foreword
Giancarlo Bigi, Sonia Cafieri, Nicolas Couëllan, Sophie Jan & Frédéric Messine
Pages: 1-3
Published online: 19 Jun 2024
First Page PreviewforForeword | Full Text | PDF (245.5 KB) | EPUB
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Free Access
Article
Techniques for accelerating branch-and-bound algorithms dedicated to sparse optimization
Gwenaël Samain, Sébastien Bourguignon & Jordan Ninin
Pages: 4-41
Published online: 31 Aug 2023
AbstractforTechniques for accelerating branch-and-bound algorithms dedicated to sparse optimization | Full Text | References | PDF (3.8 MB) | EPUB
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Article
Inexact tensor methods and their application to stochastic convex optimization
Artem Agafonov, Dmitry Kamzolov, Pavel Dvurechensky, Alexander Gasnikov & Martin Takáč
Pages: 42-83
Published online: 17 Nov 2023
AbstractforInexact tensor methods and their application to stochastic convex optimization | Full Text | References | PDF (3 MB) | EPUB
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Article
Dual formulation of the sparsity constrained optimization problem: application to classification
M. Gaudioso, G. Giallombardo & J.-B. Hiriart-Urruty
Pages: 84-101
Published online: 21 Nov 2023
AbstractforDual formulation of the sparsity constrained optimization problem: application to classification | Full Text | References | PDF (1.6 MB) | EPUB
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Review

Review
Tensorial total variation-based image and video restoration with optimized projection methods
O. Benchettou, A. H. Bentbib & A. Bouhamidi
Pages: 102-133
Published online: 27 Apr 2022
AbstractforTensorial total variation-based image and video restoration with optimized projection methods | Full Text | References | PDF (5.9 MB) | EPUB
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Research Article

Article
Distributionally robust joint chance-constrained programming with Wasserstein metric
Yining Gu & Yanjun Wang
Pages: 134-168
Published online: 08 Aug 2023
AbstractforDistributionally robust joint chance-constrained programming with Wasserstein metric | Full Text | References | PDF (2.6 MB) | EPUB
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Article
IntSat: integer linear programming by conflict-driven constraint learning
Robert Nieuwenhuis, Albert Oliveras & Enric Rodríguez-Carbonell
Pages: 169-196
Published online: 27 Sep 2023
AbstractforIntSat: integer linear programming by conflict-driven constraint learning | Full Text | References | PDF (2.3 MB) | EPUB | Supplemental
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Article
A new inertial projected reflected gradient method with application to optimal control problems
Chinedu Izuchukwu & Yekini Shehu
Pages: 197-226
Published online: 15 Aug 2023
AbstractforA new inertial projected reflected gradient method with application to optimal control problems | Full Text | References | PDF (3.3 MB) | EPUB
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Article
GBOML: a structure-exploiting optimization modelling language in Python
Bardhyl Miftari, Mathias Berger, Guillaume Derval, Quentin Louveaux & Damien Ernst
Pages: 227-256
Published online: 08 Sep 2023
AbstractforGBOML: a structure-exploiting optimization modelling language in Python | Full Text | References | PDF (2.9 MB) | EPUB
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