DocumentCode :
639907
Title :
A reduced-complexity algorithm for polynomial interpolation
Author :
Yuan Zhu ; Siyun Tang
Author_Institution :
Dept. of Software Eng., Sun Yat-sen Univ., Guangzhou, China
fYear :
2013
fDate :
7-12 July 2013
Firstpage :
316
Lastpage :
320
Abstract :
Most traditional bivariate polynomial interpolation algorithms need to construct the Gröbner basis of a module for the interpolation result. In this paper, we present an algorithm that constructs the basis for a gradually extending submodule to save computation, based on a partial order of the elements of the submodule´s Gröbner basis. It also can be generalized for negative weighted interpolation and multivariate interpolation.
Keywords :
computational complexity; interpolation; polynomial approximation; bivariate polynomial interpolation algorithm; gradually extending submodule; multivariate interpolation; negative weighted interpolation; reduced-complexity algorithm; submodule Grobner basis; Complexity theory; Decoding; Interpolation; Polynomials; Reed-Solomon codes; Software algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
Conference_Location :
Istanbul
ISSN :
2157-8095
Type :
conf
DOI :
10.1109/ISIT.2013.6620239
Filename :
6620239
Link To Document :
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