A neural network for the linear complementarity problem

DOI10.1016/S0895-7177(99)00026-6zbMath0987.90080OpenAlexW2046824311MaRDI QIDQ1596888

Li-Zhi Liao, Hou-Duo Qi

Publication date: 5 May 2002

Published in: Mathematical and Computer Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0895-7177(99)00026-6

zbMATH Keywords

stabilityunconstrained minimization

Mathematics Subject Classification ID

Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming) (90C33)

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Cites Work

• ``Neural computation of decisions in optimization problems
• An unconstrained optimization technique for large-scale linearly constrained convex minimization problems
• A semismooth equation approach to the solution of nonlinear complementarity problems
• On the resolution of monotone complementarity problems
• A New Merit Function For Nonlinear Complementarity Problems And A Related Algorithm
• Semismooth Karush-Kuhn-Tucker Equations and Convergence Analysis of Newton and Quasi-Newton Methods for Solving these Equations
• Engineering and Economic Applications of Complementarity Problems
• Modified Projection-Type Methods for Monotone Variational Inequalities
• Some Noninterior Continuation Methods for Linear Complementarity Problems
• Neurons with graded response have collective computational properties like those of two-state neurons.
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