A new stepsize for gradient method via weak secant equation

In this work we present a new technique for stepsize selection in the frame of gradient method. This new stepsize selection technique provides a different stepsize for every component of the negative gradient search. The algorithm then selects the stepsizes along the negative gradient using a new...

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Main Author: Leong, Wah June
Format: Conference or Workshop Item
Published: 2007
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/8781/
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author Leong, Wah June
author_facet Leong, Wah June
author_sort Leong, Wah June
building UPM Institutional Repository
collection Online Access
description In this work we present a new technique for stepsize selection in the frame of gradient method. This new stepsize selection technique provides a different stepsize for every component of the negative gradient search. The algorithm then selects the stepsizes along the negative gradient using a new approximation of the Hessian based on the weak secant equation. The resulting algorithm belongs to the same class of gradient methods with linear convergence property. Some preliminary numerical results suggest that the algorithm compares favourably with the Barzilai-Borwein method.
first_indexed 2025-11-15T07:35:44Z
format Conference or Workshop Item
id upm-8781
institution Universiti Putra Malaysia
institution_category Local University
last_indexed 2025-11-15T07:35:44Z
publishDate 2007
recordtype eprints
repository_type Digital Repository
spelling upm-87812015-01-21T08:30:32Z http://psasir.upm.edu.my/id/eprint/8781/ A new stepsize for gradient method via weak secant equation Leong, Wah June In this work we present a new technique for stepsize selection in the frame of gradient method. This new stepsize selection technique provides a different stepsize for every component of the negative gradient search. The algorithm then selects the stepsizes along the negative gradient using a new approximation of the Hessian based on the weak secant equation. The resulting algorithm belongs to the same class of gradient methods with linear convergence property. Some preliminary numerical results suggest that the algorithm compares favourably with the Barzilai-Borwein method. 2007-12-12 Conference or Workshop Item NonPeerReviewed Leong, Wah June (2007) A new stepsize for gradient method via weak secant equation. In: The 7th International Conference on Optimization : Techniques and Applications (ICOTA7), 12-15 Dec. 2007, Kobe, Japan. . (Unpublished) Convergence Equations
spellingShingle Convergence
Equations
Leong, Wah June
A new stepsize for gradient method via weak secant equation
title A new stepsize for gradient method via weak secant equation
title_full A new stepsize for gradient method via weak secant equation
title_fullStr A new stepsize for gradient method via weak secant equation
title_full_unstemmed A new stepsize for gradient method via weak secant equation
title_short A new stepsize for gradient method via weak secant equation
title_sort new stepsize for gradient method via weak secant equation
topic Convergence
Equations
url http://psasir.upm.edu.my/id/eprint/8781/