Notes on a neural network approach to inverse variational inequalities

DOI10.1080/02331934.2019.1705822OpenAlexW2996958666MaRDI QIDQ4999738

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Publication date: 2 July 2021

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331934.2019.1705822

zbMATH Keywords

convergenceneural networkglobal stabilityprojectionmonotone mappinginverse variational inequality

Mathematics Subject Classification ID

Computer science (68-XX)

Related Items

Global exponential stability of a neural network for inverse variational inequalities

Cites Work

• Inverse variational inequalities with projection-based solution methods
• Averaged mappings and the gradient-projection algorithm
• A new completely general class of variational inclusions with noncompact valued mappings
• An existence-uniqueness theorem and alternating contraction projection methods for inverse variational inequalities
• Solving a class of constrained `black-box' inverse variational inequalities
• Existence and stability of solutions to inverse variational inequality problems
• Proximal algorithm for solving monotone variational inclusion
• Convex analysis and monotone operator theory in Hilbert spaces
• Unnamed Item