DocumentCode :
3427998
Title :
The Optimum Convergence Condition for the Durand-Kerner Type Simultaneous Inclusion Method
Author :
Cira, Octavian ; Cira, Cristian-Mihai
Author_Institution :
Exact Sci. Fac., Aurel Vlaicu Univ. of Arad
fYear :
2006
fDate :
Sept. 2006
Firstpage :
171
Lastpage :
174
Abstract :
In order to solve the algebraic equation, where the complex polynomial has only simple zeros, one can use the simultaneous inclusion methods. The quadratic convergence condition for the Durand-Kerner simultaneous inclusion method, using point estimation theory is w(0) < d(0)/(an+b), where n is the polynomial degree, d(0) the minimum distance between the initial iterations and w(0) is the absolute maximum of the Weierstrass factors. This paper determines the optimum quadratic convergence condition for a generalized Durand-Kerner type simultaneous inclusion method
Keywords :
convergence of numerical methods; estimation theory; polynomials; Durand-Kerner type simultaneous inclusion; Weierstrass factors; optimum quadratic convergence condition; point estimation theory; polynomial; Convergence; Equations; Estimation theory; Iterative methods; Polynomials; Scientific computing; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Symbolic and Numeric Algorithms for Scientific Computing, 2006. SYNASC '06. Eighth International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
0-7695-2740-X
Type :
conf
DOI :
10.1109/SYNASC.2006.74
Filename :
4090314
Link To Document :
بازگشت