Método del gradiente de máximo descenso

Abstract

This academic contribution exposes the well known steepest descent gradient method used to find a local minimum of a nonlinear multivariate unconstrained function.  It is emphasized the importance of connect mathematical concepts with the algorithmic description and its computational instrumentation for solving practical problems. The instrumentation was made in the Python language which provides adecuate support for symbolic, graphical and numerical mathematics and is available as free software.