On a global optimization technique for solving a nonlinear hyperboloid least squares problem

Authors:
Leticia Velázquez;Miguel Argáez;Brenda Bueno;Boguslaw Stec
Affiliations:
The University of Texas at El Paso, El Paso, Texas;The University of Texas at El Paso, El Paso, Texas;The University of Texas at El Paso, El Paso, Texas;The University of Texas at El Paso, El Paso, Texas
Venue:
Proceedings of the 2005 conference on Diversity in computing
Year:
2005

Citing 3
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Abstract

We present a numerical experimentation of the global optimization algorithm presented by Velázquez et. al. [3] applied to a nonlinear hyperboloid least squares problem. This problem arises when beta sheet residues from an allosteric enzyme are fitted onto a hyperboloid by using Newton type methods. The results show that the algorithm performs well on three testcases. An important side result of this study is that the nonlinear fitting procedure is vastly superior to the linear least squares procedures traditionally used for this type of problems.