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

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. Categories and Subject Descriptors

• Type: Conference
• Year: 2005
• Where: TAPIA
• Authors: Leticia Velázquez, Miguel Argáez, Brenda Bueno, Boguslaw Stec
• Keywords: Beta Sheet Residues, Global Optimization Algorithm, Squares Problem, TAPIA 2005