The Global Convergence of a New Mixed Conjugate Gradient Method for Unconstrained Optimization
Abstract
We propose and generalize a new nonlinear conjugate gradient method for unconstrained optimization. The global convergence is proved with the Wolfe line search. Numerical experiments are reported which support the theoretical analyses and show the presented methods outperforming CGDESCENT...
Paper Details
Title
The Global Convergence of a New Mixed Conjugate Gradient Method for Unconstrained Optimization
Published Date
Jan 1, 2012
Volume
2012
Pages
1 - 14
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