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On the convergence of curvilinear search algorithms in unconstrained optimization
Authors:Jorge Amaya
Affiliation:Departamento de Matemáticas y Ciencias de la Computacibn, Facultad de Ciencias Fisicas y Matemáticas, Universidad de Chile, Casilla 5272, Santiago 3, Chile
Abstract:The purpose of this paper is to unify the conditions under which curvilinear algorithms for unconstrained optimization converge. Particularly, two gradient path approximation algorithms and a trust region curvilinear algorithm are examined in this context.
Keywords:unconstrained optimization  curvilinear algorithms  gradient path
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