UNA EXTENSIÓN DEL MÉTODO SUBGRADIENTE PARA FUNCIONES CUASICONVEXAS
DOI:
https://doi.org/10.15381/pes.v15i1.9599Keywords:
analysis convex, nonsmooth optimization, function quasiconvex, subgradient method.Abstract
In this work, we consider the problem of minimizing a quasiconvex, continue and Hölder function on the set optimal, not necessarily differentiable. We use the normalized direction of the normal con e of the set level of function and employ the stepsize rule based in knowledge of the optimal value of the objective function; we also present an example and us computational implementations in Matlab.
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Copyright (c) 2012 Frank Navarro Rojas, Tomás Alberto Núñez Lay
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