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Modified Conjugate Gradient Method for Unconstrained Optimization
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 86 - Number 15 |
| Year of Publication: 2014 |
| Authors: Thamera K. Alkhashab |
10.5120/15065-3509
|
Thamera K. Alkhashab . Modified Conjugate Gradient Method for Unconstrained Optimization. International Journal of Computer Applications. 86, 15 ( January 2014), 42-46. DOI=10.5120/15065-3509
Abstract
Conjugate gradient method holds an important role in solving unconstrained Optimizations , especially for large scale problems. Numerous studies and modific ations have been done to improve this method . In this paper , we propose a new conjugate gradient meth od which is computed by modifying Dai and Yuan formula . This new formula for the denominator is introduced and the numerator of Dai and Yuan for mula is retrained , but still possesses global converge nce properties. Numerical results based on number of iterations and number of function evaluations by usin g exact line search have shown that the new formul a is an efficient when we comparative it with the oth er conjugate gradient methods.
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