Ibrahim S. Mohammed
Universiti Sultan Zainal Abidin
Gradient methodMathematical optimizationGradient descentDerivation of the conjugate gradient methodNonlinear conjugate gradient methodApplied mathematicsMathematicsConvergence (routing)Conjugate gradient methodLine searchBiconjugate gradient methodConjugate residual method
3Publications
3H-index
13Citations
Publications 3
Newest
#1Maulana MalikH-Index: 4
#2Siti Sabariah Abas (UniSZA: Universiti Sultan Zainal Abidin)H-Index: 3
Last. Ibrahim S. Mohammed (UniSZA: Universiti Sultan Zainal Abidin)H-Index: 3
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#2Mustafa MamatH-Index: 16
Last. Zabidin SallehH-Index: 11
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Nonlinear conjugate gradient method holds an important role in solving large scale unconstrained optimization problems. Their simplicity, low memory requirement, and global convergence stimulated a massive study on the method. Numerous modifications have been done recently to improve its performance. In this paper, we proposed a new formula for the conjugate gradient coefficient k  that generates the descent search direction. In addition, we establish the global convergence result under exact l...
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#2Mustafa MamatH-Index: 16
Last. Zabidin SallehH-Index: 11
view all 6 authors...
Conjugate gradient (CG) methods have played a significant role in solving large scale unconstrained optimization. This is due to its simplicity, low memory requirement, and global convergence properties. Various studies and modifications have been done recently to improve this method. In this paper, we proposed a new conjugate gradient parameter ) ( k  which possesses global convergence properties under the exact line search. Numerical result shows that our new formula performs better when comp...
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