International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 86 - Issue 15 |
Published: January 2014 |
Authors: Thamera K. Alkhashab |
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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
@article{ 10.5120/15065-3509, author = { Thamera K. Alkhashab }, title = { Modified Conjugate Gradient Method for Unconstrained Optimization }, journal = { International Journal of Computer Applications }, year = { 2014 }, volume = { 86 }, number = { 15 }, pages = { 42-46 }, doi = { 10.5120/15065-3509 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A Thamera K. Alkhashab %T Modified Conjugate Gradient Method for Unconstrained Optimization%T %J International Journal of Computer Applications %V 86 %N 15 %P 42-46 %R 10.5120/15065-3509 %I Foundation of Computer Science (FCS), NY, USA
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.