A new nonlinear conjugate gradient method
Conjugate gradient (CG) methods are essential for solving large-scale unconstrained optimization problems. Many of studies and modifications have been practiced to improve this method. In this paper, a new class of conjugate gradient coefficients (β...
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American Institute of Physics Inc.
2015
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2-s2.0-85061693638 Abdelrahman A.; Mamat M.; Mohd I.B.; Rivaie M.; Omer O. A new nonlinear conjugate gradient method 2015 AIP Conference Proceedings 1643 10.1063/1.4907497 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061693638&doi=10.1063%2f1.4907497&partnerID=40&md5=e88653cd03da5375f65099630691f2a3 Conjugate gradient (CG) methods are essential for solving large-scale unconstrained optimization problems. Many of studies and modifications have been practiced to improve this method. In this paper, a new class of conjugate gradient coefficients (β k ) with a new parameter m=gkdk-1 that possess global convergence properties is presented. The global convergence and sufficient decent property result is established using inexact line searches to determine the step size of CG, denoted as k . Numerical result shows that the new formula is superior and more efficient when compared to other CG coefficients. © 2015 AIP Publishing LLC. American Institute of Physics Inc. 0094243X English Conference paper |
author |
Abdelrahman A.; Mamat M.; Mohd I.B.; Rivaie M.; Omer O. |
spellingShingle |
Abdelrahman A.; Mamat M.; Mohd I.B.; Rivaie M.; Omer O. A new nonlinear conjugate gradient method |
author_facet |
Abdelrahman A.; Mamat M.; Mohd I.B.; Rivaie M.; Omer O. |
author_sort |
Abdelrahman A.; Mamat M.; Mohd I.B.; Rivaie M.; Omer O. |
title |
A new nonlinear conjugate gradient method |
title_short |
A new nonlinear conjugate gradient method |
title_full |
A new nonlinear conjugate gradient method |
title_fullStr |
A new nonlinear conjugate gradient method |
title_full_unstemmed |
A new nonlinear conjugate gradient method |
title_sort |
A new nonlinear conjugate gradient method |
publishDate |
2015 |
container_title |
AIP Conference Proceedings |
container_volume |
1643 |
container_issue |
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doi_str_mv |
10.1063/1.4907497 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061693638&doi=10.1063%2f1.4907497&partnerID=40&md5=e88653cd03da5375f65099630691f2a3 |
description |
Conjugate gradient (CG) methods are essential for solving large-scale unconstrained optimization problems. Many of studies and modifications have been practiced to improve this method. In this paper, a new class of conjugate gradient coefficients (β k ) with a new parameter m=gkdk-1 that possess global convergence properties is presented. The global convergence and sufficient decent property result is established using inexact line searches to determine the step size of CG, denoted as k . Numerical result shows that the new formula is superior and more efficient when compared to other CG coefficients. © 2015 AIP Publishing LLC. |
publisher |
American Institute of Physics Inc. |
issn |
0094243X |
language |
English |
format |
Conference paper |
accesstype |
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record_format |
scopus |
collection |
Scopus |
_version_ |
1809677911523852288 |