A monotone gradient method via weak secant equation for unconstrained optimization

In this paper we present a new algorithm of steepest descent type. A new technique for steplength computation and a monotone strategy are provided in the framework of the Barzilai and Borwein method. In contrast with Barzilai and Borwein approach's in which the steplength is computed by means o...

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Main Authors: Leong, Wah June, Abu Hassan, Malik, Farid, Mahboubeh
Format: Article
Language:English
Published: Mathematical Society of the Republic of China (Taiwan) 2010
Online Access:http://psasir.upm.edu.my/id/eprint/17677/
http://psasir.upm.edu.my/id/eprint/17677/1/A%20monotone%20gradient%20method%20via%20weak%20secant%20equation%20for%20unconstrained%20optimization.pdf
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author Leong, Wah June
Abu Hassan, Malik
Farid, Mahboubeh
author_facet Leong, Wah June
Abu Hassan, Malik
Farid, Mahboubeh
author_sort Leong, Wah June
building UPM Institutional Repository
collection Online Access
description In this paper we present a new algorithm of steepest descent type. A new technique for steplength computation and a monotone strategy are provided in the framework of the Barzilai and Borwein method. In contrast with Barzilai and Borwein approach's in which the steplength is computed by means of a simple approximation of the Hessian in the form of scalar multiple of identity and an interpretation of the secant equation, the new proposed algorithm considers another approximation of the Hessian based on the weak secant equation. By incorporating a simple monotone strategy, the resulting algorithm belongs to the class of monotone gradient methods with linearly convergence. Numerical results suggest that for non-quadratic minimization problem, the new method clearly outperforms the Barzilai-Borwein method.
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language English
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publisher Mathematical Society of the Republic of China (Taiwan)
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spelling upm-176772017-07-18T03:41:53Z http://psasir.upm.edu.my/id/eprint/17677/ A monotone gradient method via weak secant equation for unconstrained optimization Leong, Wah June Abu Hassan, Malik Farid, Mahboubeh In this paper we present a new algorithm of steepest descent type. A new technique for steplength computation and a monotone strategy are provided in the framework of the Barzilai and Borwein method. In contrast with Barzilai and Borwein approach's in which the steplength is computed by means of a simple approximation of the Hessian in the form of scalar multiple of identity and an interpretation of the secant equation, the new proposed algorithm considers another approximation of the Hessian based on the weak secant equation. By incorporating a simple monotone strategy, the resulting algorithm belongs to the class of monotone gradient methods with linearly convergence. Numerical results suggest that for non-quadratic minimization problem, the new method clearly outperforms the Barzilai-Borwein method. Mathematical Society of the Republic of China (Taiwan) 2010 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/17677/1/A%20monotone%20gradient%20method%20via%20weak%20secant%20equation%20for%20unconstrained%20optimization.pdf Leong, Wah June and Abu Hassan, Malik and Farid, Mahboubeh (2010) A monotone gradient method via weak secant equation for unconstrained optimization. Taiwanese Journal of Mathematics, 14 (2). pp. 413-423. ISSN 1027-5487; ESSN: 2224-6851 http://journal.tms.org.tw/index.php/TJM/article/view/367
spellingShingle Leong, Wah June
Abu Hassan, Malik
Farid, Mahboubeh
A monotone gradient method via weak secant equation for unconstrained optimization
title A monotone gradient method via weak secant equation for unconstrained optimization
title_full A monotone gradient method via weak secant equation for unconstrained optimization
title_fullStr A monotone gradient method via weak secant equation for unconstrained optimization
title_full_unstemmed A monotone gradient method via weak secant equation for unconstrained optimization
title_short A monotone gradient method via weak secant equation for unconstrained optimization
title_sort monotone gradient method via weak secant equation for unconstrained optimization
url http://psasir.upm.edu.my/id/eprint/17677/
http://psasir.upm.edu.my/id/eprint/17677/
http://psasir.upm.edu.my/id/eprint/17677/1/A%20monotone%20gradient%20method%20via%20weak%20secant%20equation%20for%20unconstrained%20optimization.pdf