A smoothing approximation-based adaptive neurodynamic approach for nonsmooth resource allocation problem-Reference-Cited by-同舟云学术

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A smoothing approximation-based adaptive neurodynamic approach for nonsmooth resource allocation problem

Published:2024-11 Issue: Volume:179 Page:106625
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Li Haoze^ORCID,Luan Linhua^ORCID,Qin Sitian^ORCID

Funder

National Aerospace Science Foundation of China

National Natural Science Foundation of China

Harbin Institute of Technology

Taishan Scholar Foundation of Shandong Province

Graduate Scientific Research and Innovation Foundation of Chongqing

Science Fund for Distinguished Young Scholars of Shandong Province

Publisher

Elsevier BV

Reference32 articles.

1. A dynamical approach to convex minimization coupling approximation with the steepest descent method;Attouch;Journal of Differential Equations,1996

2. Differential inclusions - set-valued maps and viability theory;Aubin,1984

3. Neural network for nonsmooth pseudoconvex optimization with general convex constraints;Bian;Neural Networks,2018

4. Smoothing methods for nonsmooth, nonconvex minimization;Chen;Mathematical Programming,2012

5. Distributed optimal resource allocation over strongly connected digraphs: A surplus-based approach;Chen;Automatica,2021

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