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

2. Example-2 (table data)
(Next example)

1. Formula & Example-1 (table data)





Formula
Newton's Forward Difference formula
`p = (x - x_0)/h`
`y(x) = y_0 + p Delta y_0 + (p(p - 1))/(2!) * Delta^2y_0 + (p(p - 1)(p - 2))/(3!) * Delta^3y_0 + (p(p - 1)(p - 2)(p - 3))/(4!) * Delta^4y_0 + ...`

Examples
1. Find Solution using Newton's Forward Difference formula
xf(x)
189146
190166
191181
192193
1931101

x = 1895
Finding option 1. Value f(2)


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

x18911901191119211931
y46668193101

Newton's forward difference interpolation method to find solution

Newton's forward difference table is
xy`Deltay``Delta^2y``Delta^3y``Delta^4y`
189146
`66-46=20`
190166`15-20=-5`
`81-66=15``-3--5=2`
191181`12-15=-3``-1-2=-3`
`93-81=12``-4--3=-1`
192193`8-12=-4`
`101-93=8`
1931101


The value of `x` at you want to find the `f(x) : x = 1895`

`h = x_1 - x_0 = 1901 - 1891 = 10`

`p = (x - x_0)/h = (1895 - 1891)/10 = 0.4`

Newton's forward difference interpolation formula is
`y(x) = y_0 + p Delta y_0 + (p(p - 1))/(2!) * Delta^2y_0 + (p(p - 1)(p - 2))/(3!) * Delta^3y_0 + (p(p - 1)(p - 2)(p - 3))/(4!) * Delta^4y_0`

`y(1895) = 46 + 0.4 xx 20 + (0.4 (0.4 - 1))/(2) xx -5 + (0.4 (0.4 - 1)(0.4 - 2))/(6) xx 2 + (0.4 (0.4 - 1)(0.4 - 2)(0.4 - 3))/(24) xx -3`

`y(1895) = 46 +8 +0.6 +0.128 +0.1248`

`y(1895) = 54.8528`


Solution of newton's forward interpolation method `y(1895) = 54.8528`




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2. Example-2 (table data)
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