Analog nonderivative optimizers
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Data
1997-01-01
Autores
Teixeira, Marcelo C M [UNESP]
Zak, Stanislaw H. [UNESP]
Título da Revista
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Resumo
Analog networks for solving convex nonlinear unconstrained programming problems without using gradient information of the objective function are proposed. The one-dimensional net can be used as a building block in multi-dimensional networks for optimizing objective functions of several variables.
Descrição
Palavras-chave
Nonlinear programming, Object oriented programming, Problem solving, Analog nonderivative optimizers, Optimization
Como citar
Proceedings of the American Control Conference, v. 6, p. 3592-3596.