Newton method with explicit group iteration for solving large scale unconstrained optimization problems

Numerous numerical methods have been used to solve unconstrained optimization problems. The Explicit Group iteration is one of the numerical methods that has an advantage of the efficient block iteration scheme for solving any linear system. In this paper we applied a combination of the Newton metho...

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Main Authors: Khadizah Ghazali, Jumat Sulaiman, Y. Dasril, Darmesah Gabda
格式: Conference or Workshop Item
语言:English
English
出版: Institute of Physics Publishing 2018
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在线阅读:https://eprints.ums.edu.my/id/eprint/31037/2/Newton%20method%20with%20explicit%20group%20iteration%20for%20solving%20large%20scale%20unconstrained%20optimization%20problems_ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/31037/3/Newton%20method%20with%20explicit%20group%20iteration%20for%20solving%20large%20scale%20unconstrained%20optimization%20problems.pdf
https://eprints.ums.edu.my/id/eprint/31037/
https://iopscience.iop.org/article/10.1088/1742-6596/1132/1/012056/pdf
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总结:Numerous numerical methods have been used to solve unconstrained optimization problems. The Explicit Group iteration is one of the numerical methods that has an advantage of the efficient block iteration scheme for solving any linear system. In this paper we applied a combination of the Newton method with two-point Explicit Group (2-point EG) iterative scheme for solving large scale unconstrained optimization problems. In order to evaluate the performance of this method, combination between Newton method with classical Iterative methods namely Jacobi and Gauss-Seidel iterations were used as reference method. The numerical results show that our proposed method is more efficient than the reference method in terms of execution time, number of iteration and absolute error.