A dynamical model for solving degenerate quadratic minimax problems with constraints

Journal of Computational and Applied Mathematics

Volumn 236, Issue 6, 2011, Pages 1282-1295

  Nazemi, A R ^a  

^a SHAHROOD UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Convergent; Dynamic system; Minimax problem; Neural network; Quadratic programming problem; Stability

Indexed keywords

CONVERGENT; CONVEX ANALYSIS THEORY; DYNAMIC SYSTEM; DYNAMICAL MODEL; EQUILIBRIUM POINT; GLOBALLY CONVERGENT; ILLUSTRATIVE EXAMPLES; LASALLE INVARIANCE PRINCIPLE; LYAPUNOV; LYAPUNOV STABILITY THEORY; MINIMAX; MINIMAX PROBLEM; NETWORK MODELS; NEURAL NETWORK MODEL; OPTIMAL SOLUTIONS; OPTIMIZATION THEORY; QUADRATIC PROGRAMMING PROBLEM; SADDLE POINT;

DYNAMICAL SYSTEMS; OPTIMAL SYSTEMS; OPTIMIZATION; QUADRATIC PROGRAMMING; SITE SELECTION; THEOREM PROVING;

NEURAL NETWORKS;

EID: 80955131834     PISSN: 03770427     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cam.2011.08.012     Document Type: Article

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