A New Spectral Conjugate Gradient Algorithm for Unconstrained Optimization
Journal Title: International Journal of Mathematics and Computer Applications Research (IJMCAR) - Year 2018, Vol 8, Issue 1
Abstract
In this research, we developed a new search direction in the conjugate gradient algorithms by using combined convex property. The developed algorithm becomes converged by assuming some hypothesis. The numerical results show the efficiency of the developed method for solving test unconstrained nonlinear optimization problems
Authors and Affiliations
KHALIL K. ABBO, YOKSAL A. LAYLANI, HISHAM M KHUDHUR
Keywords
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- EP ID EP278094
- DOI 10.24247/ijmcarfeb20181
- Views 106
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