projected dynamical systems and optimization problems

نویسندگان

a. malek

s. ezazipour

n. hosseinipour-mahani

چکیده

we establish a relationship between general constrained pseudoconvex optimization problems and globally projected dynamical systems. a corresponding novel neural network model, which is globally convergent and stable in the sense of lyapunov, is proposed. both theoretical and numerical approaches are considered. numerical simulations for three constrained nonlinear optimization problems are given to show that the numerical behaviors are in good agreement with the theoretical results.

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عنوان ژورنال:
bulletin of the iranian mathematical society

جلد ۳۷، شماره No. ۲، صفحات ۸۵-۱۰۰

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