A partially inexact bundle method for convex semi-infinite minmax problems-Reference-Cited by-同舟云学术

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A partially inexact bundle method for convex semi-infinite minmax problems

Published:2015-04 Issue:1-3 Volume:21 Page:172-180
ISSN:1007-5704
Container-title:Communications in Nonlinear Science and Numerical Simulation
language:en
Short-container-title:Communications in Nonlinear Science and Numerical Simulation

Author:

Fuduli Antonio,Gaudioso Manlio,Giallombardo Giovanni,Miglionico Giovanna

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation,Numerical Analysis

Reference33 articles.

1. Max-min separability;Bagirov;Optim Methods Software,2005

2. Newton’s method for convex programming and Tchebycheff approximation;Cheney;Numer Math,1959

3. Convergence analysis of deflected conditional approximate subgradient methods;d’Antonio;SIAM J Optim,2009

4. A bundle modification strategy for convex minimization;Demyanov;Eur J Oper Res,2007

5. Introduction to minimax;Demyanov,1974

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1. An Inexact Bundle Method for Semi-Infinite Minimax Problems;Asia-Pacific Journal of Operational Research;2024-08-07

2. The global convergence properties of an adaptive QP-free method without a penalty function or a filter for minimax optimization;PLOS ONE;2023-07-10

3. Adaptive Bundle Methods for Nonlinear Robust Optimization;INFORMS Journal on Computing;2022-07

4. Essentials of numerical nonsmooth optimization;Annals of Operations Research;2022-02-02

5. The Grossone-Based Diagonal Bundle Method;Emergence, Complexity and Computation;2022

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