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A sixth-order iterative method for approximating the polar decomposition of an arbitrary matrix

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A sixth-order iterative method for approximating the polar decomposition of an arbitrary matrix

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Cordero Barbero, A.; Torregrosa Sánchez, JR. (2017). A sixth-order iterative method for approximating the polar decomposition of an arbitrary matrix. Journal of Computational and Applied Mathematics. 318:591-598. https://doi.org/10.1016/j.cam.2015.12.006

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Title: A sixth-order iterative method for approximating the polar decomposition of an arbitrary matrix
Author: Cordero Barbero, Alicia Torregrosa Sánchez, Juan Ramón
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Embargo end date: 2019-07-01
Abstract:
[EN] A new iterative method for computing the polar decomposition of any rectangular complex matrix is presented and analyzed. The study of the convergence shows that this method has order of convergence six. Some numerical ...[+]
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Journal of Computational and Applied Mathematics. (issn: 0377-0427 )
DOI: 10.1016/j.cam.2015.12.006
Publisher:
Elsevier
Publisher version: http://doi.org/10.1016/j.cam.2015.12.006
Project ID:
info:eu-repo/grantAgreement/MINECO//MTM2014-52016-C2-2-P/ES/DISEÑO DE METODOS ITERATIVOS EFICIENTES PARA RESOLVER PROBLEMAS NO LINEALES: CONVERGENCIA, COMPORTAMIENTO DINAMICO Y APLICACIONES. ECUACIONES MATRICIALES./
Thanks:
This research was partially supported by Ministerio de Economia y Competitividad MTM2014-52016-C2-2-P.
Type: Artículo

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