| _version_ |
1860799638735421440
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| building |
INTELEK Repository
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| collection |
Online Access
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| collectionurl |
https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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| date |
2016-12-08 12:46:17
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| eventvenue |
Seoul, South Korea
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| format |
Restricted Document
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| id |
6798
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| institution |
UniSZA
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| originalfilename |
1090-01-FH03-FIK-16-07401.jpg
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| person |
norman
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| recordtype |
oai_dc
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| resourceurl |
https://intelek.unisza.edu.my/intelek/pages/view.php?ref=6798
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| spelling |
6798 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=6798 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Conference Conference Paper image/jpeg inches 96 96 norman 1418 759 43 43 2016-12-08 12:46:17 1418x759 1090-01-FH03-FIK-16-07401.jpg UniSZA Private Access Improved Quasi-Newton method via PSB update for solving systems of nonlinear equations The Newton method has some shortcomings which includes computation of the Jacobian matrix which may be difficult or even impossible to compute and solving the Newton system in every iteration. Also, the common setback with some quasi-Newton methods is that they need to compute and store an n × n matrix at each iteration, this is computationally costly for large scale problems. To overcome such drawbacks, an improved Method for solving systems of nonlinear equations via PSB (Powell-Symmetric-Broyden) update is proposed. In the proposed method, the approximate Jacobian inverse Hk of PSB is updated and its efficiency has improved thereby require low memory storage, hence the main aim of this paper. The preliminary numerical results show that the proposed method is practically efficient when applied on some benchmark problems. 4th International Conference on Quantitative Sciences and Its Applications, ICOQSIA 2016 Seoul, South Korea
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| spellingShingle |
Improved Quasi-Newton method via PSB update for solving systems of nonlinear equations
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| summary |
The Newton method has some shortcomings which includes computation of the Jacobian matrix which may be difficult or even impossible to compute and solving the Newton system in every iteration. Also, the common setback with some quasi-Newton methods is that they need to compute and store an n × n matrix at each iteration, this is computationally costly for large scale problems. To overcome such drawbacks, an improved Method for solving systems of nonlinear equations via PSB (Powell-Symmetric-Broyden) update is proposed. In the proposed method, the approximate Jacobian inverse Hk of PSB is updated and its efficiency has improved thereby require low memory storage, hence the main aim of this paper. The preliminary numerical results show that the proposed method is practically efficient when applied on some benchmark problems.
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| title |
Improved Quasi-Newton method via PSB update for solving systems of nonlinear equations
|
| title_full |
Improved Quasi-Newton method via PSB update for solving systems of nonlinear equations
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| title_fullStr |
Improved Quasi-Newton method via PSB update for solving systems of nonlinear equations
|
| title_full_unstemmed |
Improved Quasi-Newton method via PSB update for solving systems of nonlinear equations
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| title_short |
Improved Quasi-Newton method via PSB update for solving systems of nonlinear equations
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| title_sort |
improved quasi-newton method via psb update for solving systems of nonlinear equations
|