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1701792PublishedVol 3 · Issue 6

Interpolation Techniques In Numerical Computation

VISHAL. V. MEHTRE ASHUTOSH MISHRA

Subject area: Science,Engineering and Technology  ·  Area of research: Electrical Engineering

Abstract

In this paper we will come across introduction to interpolation and calculus of finite differences. It further includes various polynomial interpolation methods like that of Lagrange?s, Newton?s forward, and backward & central difference method. These help us to calculate any number of numerical integrations with minimal error. The main idea lies in increasing the coefficients rather than an interval .In order to reduce the numerical computations a formula has been derived from Newton?s interpolation method. Application of this formula can be seen and is formulated below.

How to cite this paper

VISHAL. V. MEHTRE, ASHUTOSH MISHRA "Interpolation Techniques In Numerical Computation" Iconic Research And Engineering Journals Volume 3 Issue 6 2019 Page 27-29
VISHAL. V. MEHTRE, ASHUTOSH MISHRA "Interpolation Techniques In Numerical Computation" Iconic Research And Engineering Journals, vol. 3, no. 6, Dec. 2019
VISHAL. V. MEHTRE, ASHUTOSH MISHRA (2019). Interpolation Techniques In Numerical Computation. Iconic Research And Engineering Journals, 3(6).
VISHAL. V. MEHTRE, ASHUTOSH MISHRA "Interpolation Techniques In Numerical Computation" Iconic Research And Engineering Journals, vol. 3, no. 6, Dec. 2019.
@article{1701792,
      author = {VISHAL. V. MEHTRE, ASHUTOSH MISHRA},
      title = {Interpolation Techniques In Numerical Computation},
      journal = {Iconic Research And Engineering Journals},
      year = {2019},
      volume = {3},
      number = {6},
      pages = {27-29},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1701792.pdf},
      abstract = {In this paper we will come across introduction to interpolation and calculus of finite differences. It further includes various polynomial interpolation methods like that of Lagrange?s, Newton?s forward, and backward & central difference method. These help us to calculate any number of numerical integrations with minimal error. The main idea lies in increasing the coefficients rather than an interval .In order to reduce the numerical computations a formula has been derived from Newton?s interpolation method. Application of this formula can be seen and is formulated below.},
      month = {December},
  }