Optimal Designs Technique for Locating the Optimum of a Second Order Response Function
Open Access
- 1 January 2017
- journal article
- Published by Scientific Research Publishing, Inc. in American Journal of Operations Research
- Vol. 07 (05), 263-271
- https://doi.org/10.4236/ajor.2017.75018
Abstract
A more efficient method of locating the optimum of a second order response function was of interest in this work. In order to do this, the principles of optimal designs of experiment is invoked and used for this purpose. At the end, it was discovered that the noticeable pitfall in response surface methodology (RSM) was circumvented by this method as the step length was obtained by taking the derivative of the response function rather than doing so by intuition or trial and error as is the case in RSM. A numerical illustration shows that this method is suitable for obtaining the desired optimizer in just one move which compares favourably with other known methods such as Newton-Raphson method which requires more than one iteration to reach the optimizer.Keywords
This publication has 1 reference indexed in Scilit:
- On the Segmentation of the Response Surfaces for Super Convergent Line Series' Optimal Solutions of Constrained Linear and Quadratic Programming ProblemsGlobal Journal of Mathematical Sciences, 2002