New modification of the hestenes-stiefel with strong wolfe line search

. 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...

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Main Authors: Japri, Nur Athira, Basri, Srimazzura, Mamat, Mustafa
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
Online Access:http://eprints.uthm.edu.my/2643/
http://eprints.uthm.edu.my/2643/1/P12682_fab91575b27daa5c82a8d41786ab381e.pdf
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author Japri, Nur Athira
Basri, Srimazzura
Mamat, Mustafa
author_facet Japri, Nur Athira
Basri, Srimazzura
Mamat, Mustafa
author_sort Japri, Nur Athira
building UTHM Institutional Repository
collection Online Access
description . 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 iteration and CPU time by comparing with other classical conjugate gradient parameters. Numerical results have shown that the conjugate gradient method with the proposed conjugate gradient parameter performed better than the conjugate gradient method with other classical conjugate gradient parameters.
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format Conference or Workshop Item
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institution Universiti Tun Hussein Onn Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T20:00:03Z
publishDate 2021
recordtype eprints
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spelling uthm-26432021-10-25T08:57:16Z http://eprints.uthm.edu.my/2643/ New modification of the hestenes-stiefel with strong wolfe line search Japri, Nur Athira Basri, Srimazzura Mamat, Mustafa QC Physics . 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 iteration and CPU time by comparing with other classical conjugate gradient parameters. Numerical results have shown that the conjugate gradient method with the proposed conjugate gradient parameter performed better than the conjugate gradient method with other classical conjugate gradient parameters. 2021 Conference or Workshop Item PeerReviewed text en http://eprints.uthm.edu.my/2643/1/P12682_fab91575b27daa5c82a8d41786ab381e.pdf Japri, Nur Athira and Basri, Srimazzura and Mamat, Mustafa (2021) New modification of the hestenes-stiefel with strong wolfe line search. In: SCIEMATHIC 2020, 1-2 December 2020, UTHM. https://doi.org/10.1063/5.0053211 Published
spellingShingle QC Physics
Japri, Nur Athira
Basri, Srimazzura
Mamat, Mustafa
New modification of the hestenes-stiefel with strong wolfe line search
title New modification of the hestenes-stiefel with strong wolfe line search
title_full New modification of the hestenes-stiefel with strong wolfe line search
title_fullStr New modification of the hestenes-stiefel with strong wolfe line search
title_full_unstemmed New modification of the hestenes-stiefel with strong wolfe line search
title_short New modification of the hestenes-stiefel with strong wolfe line search
title_sort new modification of the hestenes-stiefel with strong wolfe line search
topic QC Physics
url http://eprints.uthm.edu.my/2643/
http://eprints.uthm.edu.my/2643/
http://eprints.uthm.edu.my/2643/1/P12682_fab91575b27daa5c82a8d41786ab381e.pdf