DocumentCode :
1148855
Title :
Multidimensional Algebraic Polynomial Approximation
Author :
Nehra, Chandra P.
Author_Institution :
Allied-Bendix Aerospace Company
Issue :
5
fYear :
1985
Firstpage :
663
Lastpage :
669
Abstract :
A computational algorithm to approximate an n-dimensional function of the form F(x,y,z, ...) by an algebraic polynomial in the least square (LSQ) sense is described. The basis of this algorithm is that the n-dimensional function can be approximated by a set of polynomials in each one of the independent variables x,y,z, ... . This technique is illustrated by deriving the algebraic polynomial approximation in the LSQ sense for three-dimensional functions of the form F(x,y,z).
Keywords :
Approximation algorithms; Interpolation; Least squares approximation; Least squares methods; Mean square error methods; Multidimensional systems; Polynomials; Process design; Real time systems;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/TAES.1985.310595
Filename :
4104121
Link To Document :
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