Abstract
In this paper,two classes of new descent methods with variable parameters are proposed to solve unconstrained optimization problems.And,under Wolfe line search conditions,we proved their global convergence without the given sufficient descent condition. Many numerical experiments show that they are efficient and robust,and they can be widely used in scientific...
Paper Details
Title
Convergence of Descent Methods with Variable Parameters
Published Date
Jan 1, 2010
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