Impulsive Projection Neural Networks for Variational Inequalities and Sparse Signal Reconstruction Application-Reference-Cited by-同舟云学术

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Impulsive Projection Neural Networks for Variational Inequalities and Sparse Signal Reconstruction Application

Published:2024-02-12 Issue:3 Volume:16 Page:877-887
ISSN:1866-9956
Container-title:Cognitive Computation
language:en
Short-container-title:Cogn Comput

Author:

Xu Jing,Li Chuandong,He Xing,Wen Hongsong

Funder

National Natural Science Foundation of China

National Key Research and Development Project

Chongqing Graduate Student Research Innovation Project

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12559-024-10252-w.pdf

Reference36 articles.

1. Kinderlehrer D, Stampacchia G. An introduction to variational inequalities and their applications. New York: Society for Industrial and Applied Mathematics; 2000.

2. Solodov MV, Svaiter BF. A new projection method for variational inequality problems. SIAM J Control Optim. 2016;73:47–55.

3. Xie S, Wu Q, Hatziargyriou ND, Zhang M, Zhang Y, Xu Y. Collaborative pricing in a power-transportation coupled network: A variational inequality approach. IEEE Trans Power Syst. 2022;38(1):783–95.

4. Liu L, Yao JC. Iterative methods for solving variational inequality problems with a double-hierarchical structure in Hilbert spaces. Optimization. 2023;72(10):2433–61.

5. Liu Q, Yang Y. Global exponential system of projection neural networks for system of generalized variational inequalities and related nonlinear minimax problems. Neurocomputing. 2010;73(10–12):2069–76.

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