ISSN: 2375-3927
International Journal of Mathematical Analysis and Applications  
Manuscript Information
 
 
Improving Analytic Function Approximation by Minimizing Square Error of Taylor Polynomial
International Journal of Mathematical Analysis and Applications
Vol.1 , No. 4, Publication Date: Oct. 21, 2014, Page: 63-67
1297 Views Since October 21, 2014, 414 Downloads Since Apr. 14, 2015
 
 
Authors
 
[1]    

Loc Nguyen, Vietnam Institute of Mathematics, Hanoi, Vietnam.

 
Abstract
 

It is very necessary to represent arbitrary function as a polynomial in many situations because polynomial has many valuable properties. Fortunately, any analytic function can be approximated by Taylor polynomial. The quality of Taylor approximation within given interval is dependent on degree of Taylor polynomial and the width of such interval. Taylor polynomial gains highly precise approximation at the point where the polynomial is expanded and so, the farer from such point it is, the worse the approximation is. Given two successive Taylor polynomials which are approximations of the same analytic function in given interval, this research proposes a method to improve the later one by minimizing their deviation so-called square error. Based on such method, the research also propose a so-called shifting algorithm which results out optimal approximated Taylor polynomial in given interval by dividing such interval into sub-intervals and shifting along with sequence of these sub-intervals in order to improve Taylor polynomials in successive process, based on minimizing square error.


Keywords
 

Taylor Polynomial, Analytic Function Approximation, Square Error


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