Title of article
An improved PRP conjugate gradient method for optimization computation
Author/Authors
Barrouk ، Bachir Badji Mokhtar University , Belloufi ، Mohammed Laboratory Informatics and Mathematics (LiM) - Mohamed Cherif Messaadia University , Benzine ، Rachid Superior School of Industrial Technologies , Bechouat ، Taher Laboratory Informatics and Mathematics (LiM) - Mohamed Cherif Messaadia University
From page
139
To page
147
Abstract
The conjugate gradient method plays a very important role in several fields, to solve problems of large sizes. To improve the efficiency of this method, a lot of work has been done; in this paper, we propose a new modification of PRP method to solve a large scale unconstrained optimization problems in relation with strong Wolf Powell Line Search property, when the latter was used under some conditions, a global convergence result was proved. In comparison with other known methods the efficiency of this method proved that it is better in the number of iterations and in time on 90 proposed problems by use of Matlab.
Keywords
Unconstrained optimization , Conjugate gradient method , strong Wolfe line search , Numerical comparisons
Journal title
International Journal of Nonlinear Analysis and Applications
Journal title
International Journal of Nonlinear Analysis and Applications
Record number
2773896
Link To Document