Large-Scale Nonconvex Optimization: Randomization, Gap Estimation, and Numerical Resolution-Reference-Cited by-同舟云学术

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Large-Scale Nonconvex Optimization: Randomization, Gap Estimation, and Numerical Resolution

Published:2023-11-10 Issue:4 Volume:33 Page:3083-3113
ISSN:1052-6234
Container-title:SIAM Journal on Optimization
language:en
Short-container-title:SIAM J. Optim.

Author:

Bonnans J. Frédéric¹,Liu Kang¹²^ORCID,Oudjane Nadia³,Pfeiffer Laurent¹^ORCID,Wan Cheng³

Affiliation:

1. Université Paris-Saclay, CNRS, CentraleSupélec, Inria, Laboratoire des signaux et systèmes, 91190, Gif-sur-Yvette, France.

2. Institut Polytechnique de Paris, CNRS, Ecole Polytechnique, CMAP, 91120, Palaiseau, France.

3. OSIRIS Department, EDF Lab, Paris-Saclay, and FiME, 91120, Palaiseau, France.

Funder

Institut Europlace de Finance

Électricité de France

Fondation Mathématique Jacques Hadamard

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Theoretical Computer Science,Software,Applied Mathematics

Reference34 articles.

1. Estimates of the Duality Gap in Nonconvex Optimization

2. Convex Analysis and Monotone Operator Theory in Hilbert Spaces

3. A Privacy-Preserving Method to Optimize Distributed Resource Allocation

4. Mirror descent and nonlinear projected subgradient methods for convex optimization

5. On the Convergence of Block Coordinate Descent Type Methods

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