JOURNAL ARTICLE

Global convergence of conjugate gradient method in unconstrained optimization problems

Huda Y. NajmEman T. HamedHuda I. Ahmed

Year: 2019 Journal:   Boletim da Sociedade Paranaense de Matemática Vol: 38 (7)Pages: 227-231   Publisher: Sociedade Brasileira de Matemática

Abstract

In this study, we propose a new parameter in the conjugate gradient method. It is shown that the new method fulfils the sufficient descent condition with the strong Wolfe condition when inexact line search has been used. The numerical results of this suggested method also shown that this method outperforms to other standard conjugate gradient method.

Keywords:
Conjugate gradient method Nonlinear conjugate gradient method Derivation of the conjugate gradient method Conjugate residual method Gradient descent Convergence (economics) Gradient method Line search Conjugate Biconjugate gradient method Applied mathematics Descent (aeronautics) Mathematics Line (geometry) Mathematical optimization Computer science Mathematical analysis Physics Artificial intelligence Geometry Artificial neural network

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12
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0.62
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Citation History

Topics

Advanced Optimization Algorithms Research
Physical Sciences →  Mathematics →  Numerical Analysis
Sparse and Compressive Sensing Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Iterative Methods for Nonlinear Equations
Physical Sciences →  Mathematics →  Numerical Analysis

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