Optimization in scilab – Tutorial

Optimization in scilab from Scilab-Xcos

This document presents all existing and non-existing optimization features in Scilab (examples of nonlinear optimization, available algorithms to solve quadratic problems, non-linear least squares problems, semidefinite programming, genetic algorithms, simulated annealing and linear matrix inequalities…)

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