A descent subgradient method using Mifflin's line search for nonsmooth nonconvex optimization-Reference-Cited by-同舟云学术

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A descent subgradient method using Mifflin's line search for nonsmooth nonconvex optimization

Published:2024-03 Issue: Volume: Page:1-27
ISSN:0233-1934
Container-title:Optimization
language:en
Short-container-title:Optimization

Author:

Maleknia Morteza¹²^ORCID,Soleimani-damaneh Majid¹^ORCID

Affiliation:

1. ICOL: Industrial and Computational Optimization Lab, School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran

2. Department of Mathematical Sciences, Isfahan University of Technology, Isfahan, Iran

Funder

Iran National Science Foundation

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02331934.2024.2322152

Reference59 articles.

1. Dzyadyk VK Shevchuk IA. Theory of uniform approximation of functions by polynomials; 2008.

2. Block Bregman Majorization Minimization with Extrapolation

3. Nonsmooth Optimization

4. Optimizing Condition Numbers

5. Minimizers of Cost-Functions Involving Nonsmooth Data-Fidelity Terms. Application to the Processing of Outliers

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An effective subgradient algorithm via Mifflin’s line search for nonsmooth nonconvex multiobjective optimization;European Journal of Operational Research;2024-12

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