JOURNAL ARTICLE

A Modified Conjugate Gradient Method with Global-convergence for Unconstrianed Optimization Probems

Asmaa AbdulrahmanBayda Ghanim Fathi

Year: 2021 Journal:   The Journal of The University of Duhok Vol: 24 (2)Pages: 55-61

Abstract

In this paper a new conjugate gradient method for unconstrained optimization is suggested, the new method is based on Conjugate Descent (CD) formula which is a modified of the CD formula and which is also sufficiently descent and globally convergent. Numerical evidence shows that this new conjugate gradient algorithm is considered as one of the competitive conjugate gradient methods.

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

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2
Cited By
0.60
FWCI (Field Weighted Citation Impact)
5
Refs
0.66
Citation Normalized Percentile
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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
Optimization and Variational Analysis
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

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