A new subspace minimization conjugate gradient method based on modified secant equation for unconstrained optimization
Abstract
In this paper, a new subspace minimization conjugate gradient method based on modified secant equation is proposed and analyzed. For a classical subspace minimization conjugate gradient method, the search direction is derived by minimizing an approximate quadratic model of objective function in a two-dimensional subspace. Generally, the approximate Hessian matrix in the above quadratic model is required to satisfy the standard secant equation,...
Paper Details
Title
A new subspace minimization conjugate gradient method based on modified secant equation for unconstrained optimization
Published Date
Aug 18, 2020
Volume
39
Issue
4
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