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.
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.
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 book here:- https://doi.org/10.9734/bpi/rumcs/v9/402
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