Diagonal quasi-newton updating strategy with cholesky factor via variational principle

The quasi-Newton method was popular due to the fact that only the gradient of the objective is required at each iterate and, since the second derivatives (Hessian) were not necessary, the quasi-Newton approach is often more efficient than the Newton method, especially when Hessian computation is cos...

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Main Authors: Bukar, Tijjani, Wah, June Leong, Marjugi, Mahani, Chuei, Yee Chen, Hong, Seng Sim
Format: Article
Published: Malaysian Mathematical Society 2022
Online Access:http://psasir.upm.edu.my/id/eprint/100946/
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author Bukar, Tijjani
Wah, June Leong
Marjugi, Mahani
Chuei, Yee Chen
Hong, Seng Sim
author_facet Bukar, Tijjani
Wah, June Leong
Marjugi, Mahani
Chuei, Yee Chen
Hong, Seng Sim
author_sort Bukar, Tijjani
building UPM Institutional Repository
collection Online Access
description The quasi-Newton method was popular due to the fact that only the gradient of the objective is required at each iterate and, since the second derivatives (Hessian) were not necessary, the quasi-Newton approach is often more efficient than the Newton method, especially when Hessian computation is costly. However, the method needed full matrix storage that approximated the (inverse) Hessian. As a result, they might not be appropriate for dealing with large-scale problems. In this paper, a diagonal quasi-Newton updating strategy is presented. The elements of the diagonal matrix approximating the Hessian were determined using the log-determinant norm satisfying weaker secant equation. To ensure the positive definiteness of the proposed diagonal updating matrices, their Cholesky factor will be considered within the variational problem. The corresponding variational problems are solved with the application of Lagrange multipliers approximated using Newton-Raphson method. Executable codes were developed to test the effectiveness and efficiency of the methods compared with some standard conjugate-gradient methods. Numerical results show that the proposed methods performs better.
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institution Universiti Putra Malaysia
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publisher Malaysian Mathematical Society
recordtype eprints
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spelling upm-1009462023-07-13T08:46:41Z http://psasir.upm.edu.my/id/eprint/100946/ Diagonal quasi-newton updating strategy with cholesky factor via variational principle Bukar, Tijjani Wah, June Leong Marjugi, Mahani Chuei, Yee Chen Hong, Seng Sim The quasi-Newton method was popular due to the fact that only the gradient of the objective is required at each iterate and, since the second derivatives (Hessian) were not necessary, the quasi-Newton approach is often more efficient than the Newton method, especially when Hessian computation is costly. However, the method needed full matrix storage that approximated the (inverse) Hessian. As a result, they might not be appropriate for dealing with large-scale problems. In this paper, a diagonal quasi-Newton updating strategy is presented. The elements of the diagonal matrix approximating the Hessian were determined using the log-determinant norm satisfying weaker secant equation. To ensure the positive definiteness of the proposed diagonal updating matrices, their Cholesky factor will be considered within the variational problem. The corresponding variational problems are solved with the application of Lagrange multipliers approximated using Newton-Raphson method. Executable codes were developed to test the effectiveness and efficiency of the methods compared with some standard conjugate-gradient methods. Numerical results show that the proposed methods performs better. Malaysian Mathematical Society 2022-07-29 Article PeerReviewed Bukar, Tijjani and Wah, June Leong and Marjugi, Mahani and Chuei, Yee Chen and Hong, Seng Sim (2022) Diagonal quasi-newton updating strategy with cholesky factor via variational principle. Menemui Matematik (Discovering Mathematics), 44 (1). 14 - 22. ISSN 0126-9003 https://myjms.mohe.gov.my/index.php/dismath/article/view/18941
spellingShingle Bukar, Tijjani
Wah, June Leong
Marjugi, Mahani
Chuei, Yee Chen
Hong, Seng Sim
Diagonal quasi-newton updating strategy with cholesky factor via variational principle
title Diagonal quasi-newton updating strategy with cholesky factor via variational principle
title_full Diagonal quasi-newton updating strategy with cholesky factor via variational principle
title_fullStr Diagonal quasi-newton updating strategy with cholesky factor via variational principle
title_full_unstemmed Diagonal quasi-newton updating strategy with cholesky factor via variational principle
title_short Diagonal quasi-newton updating strategy with cholesky factor via variational principle
title_sort diagonal quasi-newton updating strategy with cholesky factor via variational principle
url http://psasir.upm.edu.my/id/eprint/100946/
http://psasir.upm.edu.my/id/eprint/100946/