Srimazzura Basri
Universiti Sultan Zainal Abidin
CPU timeGraph (abstract data type)Optimization problemFocus (optics)Line (geometry)Nonlinear conjugate gradient methodDescent (aeronautics)Scale (ratio)Descent (mathematics)MATLABApplied mathematicsWolfe line searchUnconstrained optimizationMathematicsComputationCentral processing unitConvergence (routing)Conjugate gradient methodLine search
5Publications
2H-index
6Citations
Publications 4
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#2Srimazzura BasriH-Index: 2
Last. Mustafa MamatH-Index: 15
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Unconstrained optimization is a widespread problem that can be solved by a mathematical technique known as the conjugate gradient method. This method is chosen because of its simplicity and less use of time in solving problems that can be seen when the result has less number of iteration with a faster time of the central processing unit (CPU). Motivated by this study, we are interested in researching as there are many modifications taking place in the conjugate gradient parameter. Therefore, in ...
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#2Srimazzura BasriH-Index: 2
Last. Mustafa MamatH-Index: 15
view all 3 authors...
The method of the nonlinear conjugate gradient is widely used in solving large-scale unconstrained optimization since been proven in solving optimization problems without using large memory storage. In this paper, we proposed a new modification of the Hestenes-Stiefel conjugate gradient parameter that fulfils the condition of sufficient descent using a strong Wolfe-Powell line search. Besides, the conjugate gradient method with the proposed conjugate gradient also guarantees low computation of i...
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2 CitationsSource
#1Srimazzura Basri (UniSZA: Universiti Sultan Zainal Abidin)H-Index: 2
#2Mustafa Mamat (UTHM: Universiti Tun Hussein Onn Malaysia)H-Index: 15
Last. Mustafa Mamat (UTHM: Universiti Tun Hussein Onn Malaysia)
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Abstract Nonlinear conjugate gradient methods are widely used in solving large scale unconstrained optimization. Their wide application in many fields are due to their low memory. Numerous studies have been conducted recently to improve these methods. In this paper, a new class of conjugate gradient coefficients that possess global convergence properties is proposed. The global convergence result using exact line searches are discussed. Numerical result shows that the proposed method is more eff...
2 CitationsSource