Neural networks for nonlinear and mixed complementarity problems and their applications
From MaRDI portal
Publication:1877573
DOI10.1016/j.neunet.2003.07.006zbMath1074.68582OpenAlexW1990799441WikidataQ51699334 ScholiaQ51699334MaRDI QIDQ1877573
Publication date: 19 August 2004
Published in: Neural Networks (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.neunet.2003.07.006
neural networkNeural networkNonlinear programmingVariational inequalitiesFeedbackAsymptotic stabilityComplementarity problem
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Cites Work
- Equivalent differentiable optimization problems and descent methods for asymmetric variational inequality problems
- Local convergence of quasi-Newton methods for B-differentiable equations
- An extended descent framework for variational inequalities
- Nonlinear complementarity as unconstrained and constrained minimization
- Solving the Nonlinear Complementarity Problem by a Homotopy Method
- A New Projection Method for Variational Inequality Problems
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