A Nonlinear Conjugate Gradient Algorithm with an Optimal Property and an Improved Wolfe Line Search
Abstract
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 unconstrained optimization. An improved Wolfe line search is also proposed, which can avoid a numerical drawback of the original Wolfe line search and guarantee the global convergence of the conjugate gradient method under mild conditions. To accelerate the algorithm, we...
Paper Details
Title
A Nonlinear Conjugate Gradient Algorithm with an Optimal Property and an Improved Wolfe Line Search
Published Date
Jan 1, 2013
Journal
Volume
23
Issue
1
Pages
296 - 320
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