Higher order curvature information and its application in a modified diagonal Secant method

A secant equation (quasi-Newton) has one of the most important rule to find an optimal solution in nonlinear optimization. Curvature information must satisfy the usual secant equation to ensure positive definiteness of the Hessian approximation. In this work, we present a new diagonal updating to im...

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Main Authors: Enshaei, Sharareh, Farid, Mahboubeh, Wah, June Leong, Ardestani, S. Mohsen Hashemi
Format: Article
Language:English
Published: Taylor & Francis 2018
Online Access:http://psasir.upm.edu.my/id/eprint/74506/
http://psasir.upm.edu.my/id/eprint/74506/1/Higher%20order.pdf
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author Enshaei, Sharareh
Farid, Mahboubeh
Wah, June Leong
Ardestani, S. Mohsen Hashemi
author_facet Enshaei, Sharareh
Farid, Mahboubeh
Wah, June Leong
Ardestani, S. Mohsen Hashemi
author_sort Enshaei, Sharareh
building UPM Institutional Repository
collection Online Access
description A secant equation (quasi-Newton) has one of the most important rule to find an optimal solution in nonlinear optimization. Curvature information must satisfy the usual secant equation to ensure positive definiteness of the Hessian approximation. In this work, we present a new diagonal updating to improve the Hessian approximation with a modifying weak secant equation for the diagonal quasi-Newton (DQN) method. The gradient and function evaluation are utilized to obtain a new weak secant equation and achieve a higher order accuracy in curvature information in the proposed method. Modified DQN methods based on the modified weak secant equation are globally convergent. Extended numerical results indicate the advantages of modified DQN methods over the usual ones and some classical conjugate gradient methods.
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spelling upm-745062020-02-27T01:54:47Z http://psasir.upm.edu.my/id/eprint/74506/ Higher order curvature information and its application in a modified diagonal Secant method Enshaei, Sharareh Farid, Mahboubeh Wah, June Leong Ardestani, S. Mohsen Hashemi A secant equation (quasi-Newton) has one of the most important rule to find an optimal solution in nonlinear optimization. Curvature information must satisfy the usual secant equation to ensure positive definiteness of the Hessian approximation. In this work, we present a new diagonal updating to improve the Hessian approximation with a modifying weak secant equation for the diagonal quasi-Newton (DQN) method. The gradient and function evaluation are utilized to obtain a new weak secant equation and achieve a higher order accuracy in curvature information in the proposed method. Modified DQN methods based on the modified weak secant equation are globally convergent. Extended numerical results indicate the advantages of modified DQN methods over the usual ones and some classical conjugate gradient methods. Taylor & Francis 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/74506/1/Higher%20order.pdf Enshaei, Sharareh and Farid, Mahboubeh and Wah, June Leong and Ardestani, S. Mohsen Hashemi (2018) Higher order curvature information and its application in a modified diagonal Secant method. Optimization, 67 (12). 2229 - 2246. ISSN 0233-1934; ESSN: 1029-4945 10.1080/02331934.2018.1527840
spellingShingle Enshaei, Sharareh
Farid, Mahboubeh
Wah, June Leong
Ardestani, S. Mohsen Hashemi
Higher order curvature information and its application in a modified diagonal Secant method
title Higher order curvature information and its application in a modified diagonal Secant method
title_full Higher order curvature information and its application in a modified diagonal Secant method
title_fullStr Higher order curvature information and its application in a modified diagonal Secant method
title_full_unstemmed Higher order curvature information and its application in a modified diagonal Secant method
title_short Higher order curvature information and its application in a modified diagonal Secant method
title_sort higher order curvature information and its application in a modified diagonal secant method
url http://psasir.upm.edu.my/id/eprint/74506/
http://psasir.upm.edu.my/id/eprint/74506/
http://psasir.upm.edu.my/id/eprint/74506/1/Higher%20order.pdf