Journal of Statistics Applications & Probability
Abstract
The paper presents an effective, gradient-based procedure for locating the optimum for either constrained or unconstrained response surfaces. The procedure is widely applicable covering linear and curvilinear constraints as well as constraints with redundancy. Each move of the sequence is made by pooling information from all the support points in the feasible region, making the search a global one and convergence to the global optimum almost certain.
Suggested Reviewers
N/A
Digital Object Identifier (DOI)
http://dx.doi.org/10.12785/jsap/020307
Recommended Citation
Basil Onukogu, Ike
(2013)
"Global Convergent Sequence for Solving Optimization Problems,"
Journal of Statistics Applications & Probability: Vol. 2:
Iss.
3, Article 7.
DOI: http://dx.doi.org/10.12785/jsap/020307
Available at:
https://digitalcommons.aaru.edu.jo/jsap/vol2/iss3/7