Please use this identifier to cite or link to this item:
http://acervodigital.unesp.br/handle/11449/64990
- Title:
- Analog nonderivative optimizers
- Universidade Estadual Paulista (UNESP)
- 0743-1619
- 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.
- 1-Jan-1997
- Proceedings of the American Control Conference, v. 6, p. 3592-3596.
- 3592-3596
- Nonlinear programming
- Object oriented programming
- Problem solving
- Analog nonderivative optimizers
- Optimization
- http://dx.doi.org/10.1109/ACC.1997.609492
- Acesso restrito
- outro
- http://repositorio.unesp.br/handle/11449/64990
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