An Adaptive Univariate Global Optimization Algorithm and Its Convergence Rate for Twice Continuously Differentiable Functions

An Adaptive Univariate Global Optimization Algorithm and Its Convergence Rate for Twice Continuously Differentiable Functions

0.00 Avg rating0 Votes
Article ID: iaor20127246
Volume: 155
Issue: 2
Start Page Number: 628
End Page Number: 636
Publication Date: Nov 2012
Journal: Journal of Optimization Theory and Applications
Authors: , ,
Keywords: heuristics
Abstract:

We describe an adaptive algorithm for approximating the global minimum of a continuous univariate function. The convergence rate of the error is studied for the case of a twice continuously differentiable function.

Reviews

Required fields are marked *. Your email address will not be published.