Numerical comparison between classical conjugate gradient and modified conjugate gradient / Mohd Afif Hamran

Hamran, Mohd Afif (2018) Numerical comparison between classical conjugate gradient and modified conjugate gradient / Mohd Afif Hamran. Degree thesis, Universiti Teknologi MARA.

Abstract

Conjugate Gradient (CG) are widely used in solving unconstrained optimization due to global convergence properties. The CG that used to solve unconstrained optimization have gone various improvement and modification until now. So a lot of effort have done to improve the efficiency of the classical method. In this research, three known classical CG method and three modified CG method are tasted with four different problems and difference initial points. The modified CG method are known to have better performance than the classical CG method. The method are tasted based on the number of iteration and the CPU time.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Hamran, Mohd Afif
2015686526
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Jusoh, Ibrahim
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Mathematical statistics. Probabilities
Q Science > QA Mathematics > Analysis
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Algorithms
Divisions: Universiti Teknologi MARA, Terengganu > Kuala Terengganu Campus > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Science (Hons) Computational Mathematics
Keywords: Conjugate Gradient ; Unconstrained Optimization ; Classical Conjugate Gradient ; Modified Conjugate Gradient
Date: 2018
URI: https://ir.uitm.edu.my/id/eprint/40961
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40961

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