An adaptive three-term conjugate gradient method based on self-scaling memoryless BFGS matrix

Volume: 332, Pages: 72 - 85
Published: Apr 1, 2018
Abstract
Due to its simplicity and low memory requirement, conjugate gradient methods are widely used for solving large-scale unconstrained optimization problems. In this paper, we propose a three-term conjugate gradient method. The search direction is given by a symmetrical Perry matrix, which contains a positive parameter. The value of this parameter is determined by minimizing the distance of this matrix and the self-scaling memoryless BFGS matrix in...
Paper Details
Title
An adaptive three-term conjugate gradient method based on self-scaling memoryless BFGS matrix
Published Date
Apr 1, 2018
Volume
332
Pages
72 - 85
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