A convergent hybrid three-term conjugate gradient method with sufficient descent property for unconstrained optimization

Conjugate gradient methods are very popular for solving large scale unconstrained optimization problems because of their simplicity to implement and low memory requirements. In this paper, we present a hybrid three-term conjugate gradient method with a direction that always satisfies the sufficient...

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Main Authors: Diphofu T., Kaelo P., Tufa A.R.
Format: Article
Language:English
Published: De Gruyter 2022-06-01
Series:Topological Algebra and its Applications
Subjects:
Online Access:https://doi.org/10.1515/taa-2022-0112
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author Diphofu T.
Kaelo P.
Tufa A.R.
author_facet Diphofu T.
Kaelo P.
Tufa A.R.
author_sort Diphofu T.
collection DOAJ
description Conjugate gradient methods are very popular for solving large scale unconstrained optimization problems because of their simplicity to implement and low memory requirements. In this paper, we present a hybrid three-term conjugate gradient method with a direction that always satisfies the sufficient descent condition. We establish global convergence of the new method under the weak Wolfe line search conditions. We also report some numerical results of the proposed method compared to relevant methods in the literature.
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spelling doaj.art-ed22f60124f9470e8739161ad53f60122023-04-11T17:07:20ZengDe GruyterTopological Algebra and its Applications2299-32312022-06-01101476010.1515/taa-2022-0112A convergent hybrid three-term conjugate gradient method with sufficient descent property for unconstrained optimizationDiphofu T.0Kaelo P.1Tufa A.R.2Department of Mathematics, University of Botswana, Private Bag UB00704, Gaborone, BotswanaDepartment of Mathematics, University of Botswana, Private Bag UB00704, Gaborone, BotswanaDepartment of Mathematics, University of Botswana, Private Bag UB00704, Gaborone, BotswanaConjugate gradient methods are very popular for solving large scale unconstrained optimization problems because of their simplicity to implement and low memory requirements. In this paper, we present a hybrid three-term conjugate gradient method with a direction that always satisfies the sufficient descent condition. We establish global convergence of the new method under the weak Wolfe line search conditions. We also report some numerical results of the proposed method compared to relevant methods in the literature.https://doi.org/10.1515/taa-2022-0112conjugate gradientglobal convergencesufficient descentweak wolfe line search90c0690c3065k05
spellingShingle Diphofu T.
Kaelo P.
Tufa A.R.
A convergent hybrid three-term conjugate gradient method with sufficient descent property for unconstrained optimization
Topological Algebra and its Applications
conjugate gradient
global convergence
sufficient descent
weak wolfe line search
90c06
90c30
65k05
title A convergent hybrid three-term conjugate gradient method with sufficient descent property for unconstrained optimization
title_full A convergent hybrid three-term conjugate gradient method with sufficient descent property for unconstrained optimization
title_fullStr A convergent hybrid three-term conjugate gradient method with sufficient descent property for unconstrained optimization
title_full_unstemmed A convergent hybrid three-term conjugate gradient method with sufficient descent property for unconstrained optimization
title_short A convergent hybrid three-term conjugate gradient method with sufficient descent property for unconstrained optimization
title_sort convergent hybrid three term conjugate gradient method with sufficient descent property for unconstrained optimization
topic conjugate gradient
global convergence
sufficient descent
weak wolfe line search
90c06
90c30
65k05
url https://doi.org/10.1515/taa-2022-0112
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