A new self-scaling VM-algorithm for non-convex optimization, part 1
Abstract<br /> The self-scaling VM-algorithms solves an unconstrained non-linear optimization problems by scaling the Hessian approximation matrix before it is updated at each iteration to avoid the possible large eigen-values in the Hessian approximation matrices of the objective function f(x...
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College of Education for Pure Sciences
2012-03-01
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doaj-be7ea35f6cc247a2a38437410cbcd53f2020-11-25T02:26:14ZaraCollege of Education for Pure Sciencesمجلة التربية والعلم1812-125X2664-25302012-03-0125111612510.33899/edusj.2012.5900359003A new self-scaling VM-algorithm for non-convex optimization, part 1Abbas Y. AL-BayatiMaha S.Y. AL-SalihAbstract<br /> The self-scaling VM-algorithms solves an unconstrained non-linear optimization problems by scaling the Hessian approximation matrix before it is updated at each iteration to avoid the possible large eigen-values in the Hessian approximation matrices of the objective function f(x).It has been proved that these algorithms have a global and super-linear convergences when f(x)is non- convex.<br /> In this paper we are going to propose a new self-scaling VM-algorithm with a new non-monotone line search procedure with a detailed study of the global and super-linear convergence property for the new proposed algorithm in non-convex optimization.<br /> Keywords: VM-methods, non-monotone line searches, self-scaling AL-Bayati VM- method, global converge, super-linear convergence.https://edusj.mosuljournals.com/article_59003_f0edcc7246ef50d8f52aec2ef482f5b4.pdfself-scaling vm-algorithmnon-convex optimizationnon-monotone line search |
collection |
DOAJ |
language |
Arabic |
format |
Article |
sources |
DOAJ |
author |
Abbas Y. AL-Bayati Maha S.Y. AL-Salih |
spellingShingle |
Abbas Y. AL-Bayati Maha S.Y. AL-Salih A new self-scaling VM-algorithm for non-convex optimization, part 1 مجلة التربية والعلم self-scaling vm-algorithm non-convex optimization non-monotone line search |
author_facet |
Abbas Y. AL-Bayati Maha S.Y. AL-Salih |
author_sort |
Abbas Y. AL-Bayati |
title |
A new self-scaling VM-algorithm for non-convex optimization, part 1 |
title_short |
A new self-scaling VM-algorithm for non-convex optimization, part 1 |
title_full |
A new self-scaling VM-algorithm for non-convex optimization, part 1 |
title_fullStr |
A new self-scaling VM-algorithm for non-convex optimization, part 1 |
title_full_unstemmed |
A new self-scaling VM-algorithm for non-convex optimization, part 1 |
title_sort |
new self-scaling vm-algorithm for non-convex optimization, part 1 |
publisher |
College of Education for Pure Sciences |
series |
مجلة التربية والعلم |
issn |
1812-125X 2664-2530 |
publishDate |
2012-03-01 |
description |
Abstract<br /> The self-scaling VM-algorithms solves an unconstrained non-linear optimization problems by scaling the Hessian approximation matrix before it is updated at each iteration to avoid the possible large eigen-values in the Hessian approximation matrices of the objective function f(x).It has been proved that these algorithms have a global and super-linear convergences when f(x)is non- convex.<br /> In this paper we are going to propose a new self-scaling VM-algorithm with a new non-monotone line search procedure with a detailed study of the global and super-linear convergence property for the new proposed algorithm in non-convex optimization.<br /> Keywords: VM-methods, non-monotone line searches, self-scaling AL-Bayati VM- method, global converge, super-linear convergence. |
topic |
self-scaling vm-algorithm non-convex optimization non-monotone line search |
url |
https://edusj.mosuljournals.com/article_59003_f0edcc7246ef50d8f52aec2ef482f5b4.pdf |
work_keys_str_mv |
AT abbasyalbayati anewselfscalingvmalgorithmfornonconvexoptimizationpart1 AT mahasyalsalih anewselfscalingvmalgorithmfornonconvexoptimizationpart1 AT abbasyalbayati newselfscalingvmalgorithmfornonconvexoptimizationpart1 AT mahasyalsalih newselfscalingvmalgorithmfornonconvexoptimizationpart1 |
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1724848401312382976 |