By Topic

Optimal Inequality Factor for Ehrlich-Aberth's Method

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Cira, O. ; Fac. of Exact Sci., Aurel Vlaicu Univ., Arad, Romania ; Maruster, S.

The convergence condition for the simultaneous inclusion methods is w(0) <; cnd(0), where w(0) is the maximum Weierstrass factor Wk(0), k ∈In, and d(0) is the minimum distance between z1(0), z2(0), ...zn(0), the distinct approximations of the simple roots of the polynomial ζ1, ζ2, ...ζn. The i-factor (inequality-factor) is the positive function cn = c(a,b, n) = 1/an+b. The article presents the optimum i- factor for the simultaneous inclusion Ehrlich-Aberth's method.

Published in:

Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2011 13th International Symposium on

Date of Conference:

26-29 Sept. 2011