Journal of Modern Mathematics and Statistics

Year: 2010
Volume: 4
Issue: 4
Page No. 115 - 122

A Modified Super Convergent Line Series Algorithm for Solving Unconstrained Optimization Problems

Authors : M.U. Umoren and I.A. Etukudo

Abstract: This study presents a new algorithm for solving unconstrained optimization problems known as Modified Super Convergent Line Series (MSCLSu). The development of the new algorithm makes use of the principles of optimal experimental design. Illustrative example shows that the optimizer could be reached in just one move, as compared to some other known algorithms say the Gradient method which requires >1 iteration to reach the optimizer. Thus, the new algorithm compares favourably with the Gradient method say.

How to cite this article:

M.U. Umoren and I.A. Etukudo, 2010. A Modified Super Convergent Line Series Algorithm for Solving Unconstrained Optimization Problems. Journal of Modern Mathematics and Statistics, 4: 115-122.

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