Multi-steps symmetric rank-one update for unconstrained optimization

In this paper, we present a generalized Symmetric Rank-one (SR1) method by employing interpolatory polynomials in order to possess a more accurate information from more than one previous step. The basic idea is to incorporate the SR1 update within the framework of multi-step methods. Hence iterates...

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Main Authors: Modarres, Farzin, Abu Hassan, Malik, Leong, Wah June
Format: Article
Language:English
Published: IDOSI Publications 2009
Online Access:http://psasir.upm.edu.my/id/eprint/15755/1/Multi-steps%20symmetric%20rank-one%20update%20for%20unconstrained%20optimization..pdf
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author Modarres, Farzin
Abu Hassan, Malik
Leong, Wah June
author_facet Modarres, Farzin
Abu Hassan, Malik
Leong, Wah June
author_sort Modarres, Farzin
collection UPM
description In this paper, we present a generalized Symmetric Rank-one (SR1) method by employing interpolatory polynomials in order to possess a more accurate information from more than one previous step. The basic idea is to incorporate the SR1 update within the framework of multi-step methods. Hence iterates could be interpolated by a curve in such a way that the consecutive points define the curves. However to preserve the positive definiteness of the SR1 updates a restart procedure is applied, in which we restart the SR1 update by a scale of the identity. Comparison to multi-steps BFGS method, the proposed algorithm shows significant improvements in numerical results.
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spelling upm.eprints-157552020-06-16T02:14:58Z http://psasir.upm.edu.my/id/eprint/15755/ Multi-steps symmetric rank-one update for unconstrained optimization Modarres, Farzin Abu Hassan, Malik Leong, Wah June In this paper, we present a generalized Symmetric Rank-one (SR1) method by employing interpolatory polynomials in order to possess a more accurate information from more than one previous step. The basic idea is to incorporate the SR1 update within the framework of multi-step methods. Hence iterates could be interpolated by a curve in such a way that the consecutive points define the curves. However to preserve the positive definiteness of the SR1 updates a restart procedure is applied, in which we restart the SR1 update by a scale of the identity. Comparison to multi-steps BFGS method, the proposed algorithm shows significant improvements in numerical results. IDOSI Publications 2009 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/15755/1/Multi-steps%20symmetric%20rank-one%20update%20for%20unconstrained%20optimization..pdf Modarres, Farzin and Abu Hassan, Malik and Leong, Wah June (2009) Multi-steps symmetric rank-one update for unconstrained optimization. World Applied Sciences Journal, 7 (5). pp. 610-615. ISSN 1818-4952; ESSN: 1991-6426 https://www.idosi.org/wasj/wasj7(5)2009.htm
spellingShingle Modarres, Farzin
Abu Hassan, Malik
Leong, Wah June
Multi-steps symmetric rank-one update for unconstrained optimization
title Multi-steps symmetric rank-one update for unconstrained optimization
title_full Multi-steps symmetric rank-one update for unconstrained optimization
title_fullStr Multi-steps symmetric rank-one update for unconstrained optimization
title_full_unstemmed Multi-steps symmetric rank-one update for unconstrained optimization
title_short Multi-steps symmetric rank-one update for unconstrained optimization
title_sort multi steps symmetric rank one update for unconstrained optimization
url http://psasir.upm.edu.my/id/eprint/15755/1/Multi-steps%20symmetric%20rank-one%20update%20for%20unconstrained%20optimization..pdf
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