Diagonal quasi-Newton method via variational principle under generalized Frobenius norm

In this work, we present a new class of diagonal quasi-Newton methods for solving large-scale unconstrained optimization problems. The methods are derived by means of variational principle under the generalized Frobenius norm. We show global convergence of our methods under the standard line search...

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Main Authors: Enshaei, Sharareh, Leong, Wah June, Farid, Mahboubeh
Format: Article
Language:English
Published: Taylor & Francis 2016
Online Access:http://psasir.upm.edu.my/id/eprint/55511/
http://psasir.upm.edu.my/id/eprint/55511/1/Diagonal%20quasi-Newton%20method%20via%20variational%20principle%20under%20generalized%20Frobenius%20norm.pdf
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author Enshaei, Sharareh
Leong, Wah June
Farid, Mahboubeh
author_facet Enshaei, Sharareh
Leong, Wah June
Farid, Mahboubeh
author_sort Enshaei, Sharareh
building UPM Institutional Repository
collection Online Access
description In this work, we present a new class of diagonal quasi-Newton methods for solving large-scale unconstrained optimization problems. The methods are derived by means of variational principle under the generalized Frobenius norm. We show global convergence of our methods under the standard line search with Armijo condition. Numerical results are carried out in standard test problems and clearly indicate vast superiority over some classical conjugate gradient methods.
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institution Universiti Putra Malaysia
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language English
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publishDate 2016
publisher Taylor & Francis
recordtype eprints
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spelling upm-555112019-10-10T00:31:36Z http://psasir.upm.edu.my/id/eprint/55511/ Diagonal quasi-Newton method via variational principle under generalized Frobenius norm Enshaei, Sharareh Leong, Wah June Farid, Mahboubeh In this work, we present a new class of diagonal quasi-Newton methods for solving large-scale unconstrained optimization problems. The methods are derived by means of variational principle under the generalized Frobenius norm. We show global convergence of our methods under the standard line search with Armijo condition. Numerical results are carried out in standard test problems and clearly indicate vast superiority over some classical conjugate gradient methods. Taylor & Francis 2016 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/55511/1/Diagonal%20quasi-Newton%20method%20via%20variational%20principle%20under%20generalized%20Frobenius%20norm.pdf Enshaei, Sharareh and Leong, Wah June and Farid, Mahboubeh (2016) Diagonal quasi-Newton method via variational principle under generalized Frobenius norm. Optimization Methods and Software, 31 (6). pp. 1258-1271. ISSN 1055-6788; ESSN: 1029-4937 http://www.tandfonline.com/doi/abs/10.1080/10556788.2016.1196205 10.1080/10556788.2016.1196205
spellingShingle Enshaei, Sharareh
Leong, Wah June
Farid, Mahboubeh
Diagonal quasi-Newton method via variational principle under generalized Frobenius norm
title Diagonal quasi-Newton method via variational principle under generalized Frobenius norm
title_full Diagonal quasi-Newton method via variational principle under generalized Frobenius norm
title_fullStr Diagonal quasi-Newton method via variational principle under generalized Frobenius norm
title_full_unstemmed Diagonal quasi-Newton method via variational principle under generalized Frobenius norm
title_short Diagonal quasi-Newton method via variational principle under generalized Frobenius norm
title_sort diagonal quasi-newton method via variational principle under generalized frobenius norm
url http://psasir.upm.edu.my/id/eprint/55511/
http://psasir.upm.edu.my/id/eprint/55511/
http://psasir.upm.edu.my/id/eprint/55511/
http://psasir.upm.edu.my/id/eprint/55511/1/Diagonal%20quasi-Newton%20method%20via%20variational%20principle%20under%20generalized%20Frobenius%20norm.pdf