Investigation on Self-Scaling of Mixed Interior-Exterior Method for Non-Linear Optimization
Section: Research Paper
Pages
73-85Keywords:
unconstrained Optimization,
self-scaling technique
Abstract
In this paper, we have investigated self-scaling sequential unconstrained minimization techniques (SUMT). Our new modified version on CG-method and QN- method shows that it is too effective when compared with other established algorithms to solve standard constrained optimization problems.
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Investigation on Self-Scaling of Mixed Interior-Exterior Method for Non-Linear Optimization. (2005). AL-Rafidain Journal of Computer Sciences and Mathematics, 2(2), 73-85. https://doi.org/10.33899/csmj.2005.164085
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This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Investigation on Self-Scaling of Mixed Interior-Exterior Method for Non-Linear Optimization. (2005). AL-Rafidain Journal of Computer Sciences and Mathematics, 2(2), 73-85. https://doi.org/10.33899/csmj.2005.164085





