Easy way to Find Multivariate Interpolation

Abstract

We derive explicit interpolation formula using non-singular vandermonde matrix for constructing multi dimensional function which interpolates at a set of distinct abscissas. We also provide examples to show how the formula is used in practices.

Authors and Affiliations

Yimesgen Mehari

Keywords

Related Articles

Review Paper on Android Operating System

Today, as the developing of hardware of mobile is getting better, the performance index is much higher than the actual requirements of the software configuration Phone's features more depend on software. As the Android o...

On b-δ-continuous functions

In this paper, we introduce and study two new o f functions called b-δ- continuous function by using the notions of b-δ-open sets and b-δ-closed sets

Failure Diagnosis of Spur Gear in Two Stage Planetary Gear Box of Bagasse Carrier Machine used in Sugar Industry by Using FEA

In this paper we have selected agearbox of bagasse carrier machine which is used in sugar industry. In sugar industry, For feeding bagasse to boiler as well as to carry crushed bagasse coming from sugar mill, bagasse car...

Comparative Studies on Techniques for Transportation Problem of Initial Basic Feasible Solution (IBFS)

Transportation model is a special class of linear programming problem in which the objective is to transport or distribute a single commodity or goods from various sources/origins to different destination a...

Applications of Accelerometer as a Vibration Detector

In the present world scenario, the integration of various sensors to create a smart sensor is on the rise. This paper deals with the use of accelerometer as a vibration detector. The main focus of this is to reduce the c...

Download PDF file
  • EP ID EP245336
  • DOI -
  • Views 98
  • Downloads 0

How To Cite

Yimesgen Mehari (2017). Easy way to Find Multivariate Interpolation. International journal of Emerging Trends in Science and Technology, 4(5), 5189-5193. https://europub.co.uk/articles/-A-245336