A conjugate gradient algorithm for large-scale nonlinear equations and image restoration problems
Abstract
Nonlinear systems present a quite complicate problem. As the number of dimensions increases, it becomes more difficult to find the solution of the problem. In this paper, a modified conjugate gradient method is designed that has a sufficient descent property and trust region property. It is interesting that the formula for search direction makes full use of the property of convex combination between the deepest descent algorithm and the...
Paper Details
Title
A conjugate gradient algorithm for large-scale nonlinear equations and image restoration problems
Published Date
Jan 1, 2020
Volume
147
Pages
129 - 141
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