Optimal inequality factor for Durand-Kerner's and Tanabe's methods

Octavian Cira; Cristian Mihai Cira

doi:10.33993/jnaat402-1043

Authors

Octavian Cira "Aurel Vlaicu" University, Arad, Romania
Cristian Mihai Cira Auburn University, USA

DOI:

https://doi.org/10.33993/jnaat402-1043

Keywords:

root-finding methods, polynomial zeros, simultaneous inclusion methods, Durand-Kerner's method, Tanabe's method, convergence, computational efficiency

Abstract views: 257

Abstract

The convergence condition for the simultaneous inclusion methods is \(w^{(0)}<c(a,b,n)d^{(0)}\), where \(w^{(0)}\) is the maximum Weierstrass factor \(W^{0}_k\), \(k\in I_n\), and \(d^{0}\) is the minimum distance between \(z^{(0)}_1\), \(z^{(0)}_2\), \(\ldots\), \(z^{(0)}_n\), the distinct approximations of the simple roots of the polynomial \(\zeta_1\), \(\zeta_2\),\(\,\ldots\), \(\zeta_n\). The i-factor (inequality-factor) is the positive real function \(c(a,b,n)=\tfrac{1}{an+b}\). The article presents the optimum i-factor for the simultaneous inclusion methods Durand-Kerner and Tanabe.

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References

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