Numerical comparison between classical conjugate gradient and modified conjugate gradient / Mohd Afif Hamran
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 m...
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| 格式: | Thesis |
| 语言: | English |
| 出版: |
2018
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| 主题: | |
| 在线阅读: | https://ir.uitm.edu.my/id/eprint/40961/1/40961.pdf |
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| 总结: | 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. |
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