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8. Stirling's Interpolation formula example ( Enter your problem )
  1. Formula & Example-1 (table data)
  2. Example-2 (table data)
  3. Example-3 (table data)
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)
(Previous example)
9. Bessel's Interpolation formula
(Next method)

3. Example-3 (table data)





Find Solution using Stirling's formula
xf(x)
00
50.0875
100.1763
150.2679
200.3640
250.4663
300.5774

x = 16
Finding f(2)


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

x051015202530
y00.08750.17630.26790.3640.46630.5774

Stirling's method to find solution

`h=5-0=5`

Taking `x_0=15` then `p=(x-x_0)/h=(x-15)/5`

The difference table is
`x``p=(x-15)/5``y``Deltay``Delta^2y``Delta^3y``Delta^4y``Delta^5y``Delta^6y`
0-30
0.0875
5-20.08750.0013
0.08880.0015
10-10.17630.00280.0002
0.09160.0017-0.0002
1500.26790.004500.0011
0.09610.00170.0009
2010.3640.00620.0009
0.10230.0026
2520.46630.0088
0.1111
3030.5774


`x = 16`

`p = (x - x_0)/h = (16 - 15)/5 = 0.2`

`y_0=0.2679, Delta y_0=0.0961,Delta^2y_(-1)=0.0045,Delta^3y_(-1)=0.0017,Delta^4y_(-2)=0,Delta^5y_(-2)=0.0009,Delta^6y_(-3)=0.0011`

Stirling's formula is
`y_p=y_0+p*(Delta y_0+Delta y_(-1))/2 + (p^2)/(2!) * Delta^2y_(-1) + (p(p^2 - 1^2))/(3!) * (Delta^3y_(-1)+Delta^3y_(-2))/2 + (p^2(p^2 - 1^2))/(4!) * Delta^4y_(-2) + (p(p^2 - 1^2)(p^2 - 2^2))/(5!) * (Delta^5y_(-2)+Delta^5y_(-3))/2 + (p^2(p^2 - 1^2)(p^2 - 2^2))/(6!) * Delta^6y_(-3)`

`y_(0.2) = 0.2679 + (0.2)*((0.0961+0.0916))/2 + ((0.04))/(2)*(0.0045) + ((0.2)(0.04 - 1))/(6)*((0.0017+0.0017))/2 + ((0.04)(0.04 - 1))/(24)*(0) + ((0.2)(0.04 - 1)(0.04 - 4))/(120)*((0.0009))/2 + ((0.04)(0.04 - 1)(0.04 - 4))/(720)*(0.0011)`

`y_(0.2)=0.2679+0.01877 +0.00009 -0.0000544 +0 +0.0000022176 +0.0000002323`

`y_(0.2)=0.2867`


Solution of Stirling's interpolation is `y(16) = 0.2867`




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2. Example-2 (table data)
(Previous example)
9. Bessel's Interpolation formula
(Next method)





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