Research Article
Cubic Sp-Line Interpolation for Forth Order Polynomial Function
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 86 - Issue 2 |
| Published: January 2014 |
| Authors: Yash Sharma, Suresh Sorathia, Kuldeep Shukla |
10.5120/14954-3120
|
Yash Sharma, Suresh Sorathia, Kuldeep Shukla . Cubic Sp-Line Interpolation for Forth Order Polynomial Function. International Journal of Computer Applications. 86, 2 (January 2014), 1-3. DOI=10.5120/14954-3120
@article{ 10.5120/14954-3120,
author = { Yash Sharma,Suresh Sorathia,Kuldeep Shukla },
title = { Cubic Sp-Line Interpolation for Forth Order Polynomial Function },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 86 },
number = { 2 },
pages = { 1-3 },
doi = { 10.5120/14954-3120 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Yash Sharma
%A Suresh Sorathia
%A Kuldeep Shukla
%T Cubic Sp-Line Interpolation for Forth Order Polynomial Function%T
%J International Journal of Computer Applications
%V 86
%N 2
%P 1-3
%R 10.5120/14954-3120
%I Foundation of Computer Science (FCS), NY, USA
Abstract
When any higher order polynomial function performed as a time signal then the resultant graph may be distorted. Function generator cannot generate ten power pera unit frequency this signals also needs some slant average value. This demerit has been removed under in cubic sp-line. Due to the third order polynomial function has performed with its average approximation. In this paper we generate the signal apply interpolation formula on it and make it smooth and accurate. Finally we compare without and with cubic sp-line interpolation graphs. This algorithm performed in MatLab.
References
- Carl De Boor, "Engineering Mathematics", Pearson Publication, 2nd Edition, Year-2006, pp. 848-849 and pp. 861-866.
- Samuel D. Conte, "Elementary Numerical Analysis An Algorithmic Approach", Tata McGraw Hill, 3rd Edition, Year-2005, pp. 251-293.
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