Analog nonderivative optimizers
Proceedings of the American Control Conference, v. 6, p. 3592-3596.
Teixeira, Marcelo C M
Zak, Stanislaw H.
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.