A SURVEY OF NONLINEAR CONJUGATE GRADIENT METHODS ∗ 1. Introduction.
Conjugate gradient (CG) methods comprise a class of uncon- Page 1 A SURVEY OF …

A new nonlinear conjugate gradient method and an associated implementation, based on
an inexact line search, are proposed and analyzed. With exact line search, our method …

At the beginning of this century, which is characterized by huge flows of emerging data, Dai
and Liao proposed a pervasive conjugacy condition that triggered the interest of many …

Conjugate gradient methods are a class of important methods for unconstrained
optimization, especially when the dimension is large. This paper proposes a new conjugacy …

This book is on conjugate gradient methods for unconstrained optimization. The concept of
conjugacy was introduced by Magnus Hestenes and Garrett Birkhoff in 1936 in the context of …

In this paper, we seek the conjugate gradient direction closest to the direction of the scaled
memoryless BFGS method and propose a family of conjugate gradient methods for …

Conjugate gradient methods are a class of important methods for solving linear equations
and for solving nonlinear optimization. In this article, a review on conjugate gradient …

In this article, we propose a hybrid conjugate gradient (CG) scheme for solving
unconstrained optimization problem. The search direction is a combination of the Polak …

The Spectral conjugate gradient (SCG) methods are among the efficient variants of CG
algorithms which are obtained by combining the spectral gradient parameter and CG …

In this work, we propose nonlinear conjugate gradient methods for finding critical points of
vector-valued functions with respect to the partial order induced by a closed, convex, and …