Minimizing the computational cost of polynomial evaluation
is a main problem in Computational Science. We present a modification of
Horner’s method to exploit its advantages in the evaluation of sparse
polynomials. We also propose a polynomial partitioning that allows to perform
Horner’s method in parallel. In addition, we provide an analysis of the numerical
error between the proposed parallel method and the classic algorithm.
Author(s) Details
Policarpo Abascal
Fuentes
Department of Mathematics, University of Oviedo, Edificio
Polivalente Campus de Viesques, 33203-Gijón, Asturias, Spain.
David García Quintas
Department of Mathematics, University of Oviedo, Edificio
Polivalente Campus de Viesques, 33203-Gijón, Asturias, Spain.
Jorge Jiménez Meana
Department of Mathematics, University of Oviedo, Edificio
Polivalente Campus de Viesques, 33203-Gijón, Asturias, Spain.
Antonio Palacio Muñiz
Department of Mathematics, University of Oviedo, Edificio
Polivalente Campus de Viesques, 33203-Gijón, Asturias, Spain.
Please see the link:- https://doi.org/10.9734/bpi/rumcs/v9/402
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