Fast Parallel Method for Polynomial Evaluation at Points in Arithmetic Progression

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  • School of Mechanical Engineering, Northwestern Polytechnical University
LU Jiang-kang(1956-), male, native of Xi’an, Shaanxi, an associate professor of Northwestern Polytechnical University, M.S.D., engages in advanced technology of electrical engineering; CHEN Hai-biao(1985-), male, native of Chaozhou, Guangdong, M.S.D., engages in computational electromagnetic; JING Rui-xing(1987-), female, native of Zhengzhou, Henan, M.S.D., engages in advanced technology of electrical engineering.

Received date: 2012-12-24

  Online published: 2020-11-26

Supported by

Supported by the Graduate Starting Seed Fund of Northwestern Polytechnical University(Z2012030);

Abstract

We present a fast method for polynomial evaluation at points in arithmetic progression. By dividing the progression into m new ones and evaluating the polynomial at each point of these new progressions recursively,this method saves most of the multiplications in the price of little increase of additions comparing to Horner’s method, while their accuracy are almost the same. We also introduce vector structure to the recursive process making it suitable for parallel applications. 

Cite this article

LU Jian-kang, CHEN Hai-biao, JING Rui-xing . Fast Parallel Method for Polynomial Evaluation at Points in Arithmetic Progression[J]. Chinese Quarterly Journal of Mathematics, 2014 , 29(4) : 509 -515 . DOI: 10.13371/j.cnki.chin.q.j.m.2014.04.005

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