A dual neural network for convex quadratic programming subject to linear equality and inequality constraints

DOI10.1016/S0375-9601(02)00424-3zbMath0995.65063OpenAlexW2077847045MaRDI QIDQ1600289

Yu-Nong Zhang, Jun Wang

Publication date: 12 June 2002

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0375-9601(02)00424-3

zbMATH Keywords

optimal solutionsnetwork architectureglobal exponential convergence

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Learning and adaptive systems in artificial intelligence (68T05)

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Cites Work

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• A deterministic annealing neural network for convex programming
• Lagrange programming neural networks
• A New Algorithm for Solving Strictly Convex Quadratic Programs
• Global asymptotic and exponential stability of a dynamic neural system with asymmetric connection weights
• On a Generalization of a Normal Map and Equation
• A high performance neural network for solving nonlinear programming problems with hybrid constraints

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