A new steepest descent method with global convergence properties

Abidin, Z.Z. and Mamat, M. and Rivaie, M (2016) A new steepest descent method with global convergence properties. In: 2nd International Conference on Mathematical Sciences and Statistics: Innovations Through Mathematical and Statistical Research, ICMSS 2016, 26-28 Jan 2016, Kuala Lumpur.

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One of the earliest and the best method to minimize a function is the classical steepest descent (SD) method. In this paper, a new modification of SD method is suggested using a new search direction, d k. The numerical results are presented based on number of iterations and CPU time. It shows that the new d k are efficient when compared to the classical SD.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Divisions: Faculty of Informatics & Computing
Depositing User: Muhammad Akmal Azhar
Date Deposited: 09 Nov 2020 06:58
Last Modified: 09 Nov 2020 06:58
URI: http://eprints.unisza.edu.my/id/eprint/1111

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