Use of a nonquadratic model in a conjugate-gradient method of optimization with inexact line searches

Abstract

An algorithm for unconstrained minimization is developed which uses a rational function model, rather than a quadratic, as a basis for conjugate directions. The algorithm is similar to one previously proposed by the authors, but inexact linear searches are investigated in the present paper.