Testing Nelder-Mead Based Repulsion Algorithms for Multiple Roots of Nonlinear Systems via a Two-Level Factorial Design of Experiments

This paper addresses the challenging task of computing multiple roots of a system of nonlinear equations. A repulsion algorithm that invokes the Nelder-Mead (N-M) local search method and uses a penalty-type merit function based on the error function, known as 'erf', is presented. In the N-...

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Bibliographic Details
Main Author: Ramadas, Gisela C. V. (author)
Other Authors: Rocha, Ana Maria A. C. (author), Fernandes, Edite M. G. P. (author)
Format: article
Language:eng
Published: 2016
Subjects:
Algorithms
Nonlinear systems
Experimental design
Factorial design
Analysis of variance
Reflection
Neurophysiology
Optimization
Online Access:http://hdl.handle.net/10400.22/7435
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/7435

Internet

http://hdl.handle.net/10400.22/7435

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