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3. Newton's Divided Difference Interpolation formula (Numerical Interpolation) example ( Enter your problem )
  1. Formula & Example-1
  2. Example-2
  3. Example-3
  4. Example-4
Other related methods
  1. Newton's Forward Difference formula
  2. Newton's Backward Difference formula
  3. Newton's Divided Difference Interpolation formula
  4. Lagrange's Interpolation formula
  5. Lagrange's Inverse Interpolation formula
  6. Gauss Forward formula
  7. Gauss Backward formula
  8. Stirling's formula
  9. Bessel's formula
  10. Everett's formula
  11. Hermite's formula
  12. Missing terms in interpolation table

2. Newton's Backward Difference formula
(Previous method)
2. Example-2
(Next example)

1. Formula & Example-1





Formula
Newton's Divided Difference Interpolation formula
`y(x) = y_0 + (x - x_0) f[x_0, x_1] + (x - x_0)(x - x_1) f[x_0, x_1, x_2] + ...`

Examples
1. Find Solution using Newton's Divided Difference Interpolation formula
xf(x)
3002.4771
3042.4829
3052.4843
3072.4871

x = 301


Solution:
The value of table for `x` and `y`

x300304305307
y2.47712.48292.48432.4871

Numerical divided differences method to find solution

Newton's divided difference table is
xy`1^(st)` order`2^(nd)` order
3002.4771
`(2.4829-2.4771)/(304-300)=0.0014`
3042.4829`(0.0014-0.0014)/(305-300)=0`
`(2.4843-2.4829)/(305-304)=0.0014`
3052.4843`(0.0014-0.0014)/(307-304)=0`
`(2.4871-2.4843)/(307-305)=0.0014`
3072.4871


The value of `x` at you want to find the `f(x) : x = 301`

Newton's divided difference interpolation formula is
`f(x)=y_0 +(x-x_0) f[x_0, x_1]+(x-x_0)(x-x_1) f[x_0, x_1, x_2]`

`y(301) = 2.4771 + (301 -300) xx 0.0014 + (301 -300)(301 -304) xx 0`

`y(301) = 2.4771 + (1) xx 0.0014 + (1)(-3) xx 0`

`y(301) = 2.4771 +0.0014 +0`

`y(301) = 2.4785`


Solution of divided difference interpolation method `y(301) = 2.4785`


This material is intended as a summary. Use your textbook for detail explanation.
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2. Newton's Backward Difference formula
(Previous method)
2. Example-2
(Next example)





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