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2. Three point Forward difference, Backward difference, Central difference formula numerical differentiation example ( Enter your problem )
  1. Formula & Example-1 (table data)
  2. Example-2 (table data)
  3. Example-3 (`f(x)=cosx`)
  4. Example-4 (`f(x)=2x^3+x^2-4`)
  5. Example-5 (`f(x)=xlnx`)
  6. Example-6 (`f(x)=sinx`)
Other related methods
  1. Two point Forward, Backward, Central difference formula
  2. Three point Forward, Backward, Central difference formula
  3. Four point Forward, Backward, Central difference formula
  4. Five point Forward, Central difference formula

5. Example-5 (`f(x)=xlnx`)
(Previous example)
3. Four point Forward, Backward, Central difference formula
(Next method)

6. Example-6 (`f(x)=sinx`)





`f(x)=sinx` and `h = 0.1`, estimate `f^'(0.8) and f^('')(0.8)`
using Three point Forward difference, Backward difference, Central difference formula numerical differentiation
Also find exact value of f', f'' and error for each estimation


Solution:
Equation is `f(x) = sin(x)`.

`:. f^'(x) = cos(x)`

`:. f^('')(x) = -sin(x)`

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

x0.60.70.80.91
y0.56460.64420.71740.78330.8415

Three-point FDF (Forward difference formula)
`f^'(x)=1/(2h)[-3f(x)+4f(x+h)-f(x+2h)]`

`f^'(0.8)=1/(2*0.1)[-3f(0.8)+4f(0.8+0.1)-f(0.8+2*0.1)]`

`f^'(0.8)=1/0.2[-3f(0.8)+4f(0.9)-f(1)]`

`f^'(0.8)=1/0.2[-3(0.7174)+4(0.7833)-0.8415]`

`f^'(0.8)=0.6988`

Absolute Error:`|"exact value of " f^'(0.8)-(0.6988)|=|0.6967 -0.6988|=0.0021`



Three-point BDF (Backward difference formula)
`f^'(x)=1/(2h)[f(x-2h)-4f(x-h)+3f(x)]`

`f^'(0.8)=1/(2*0.1)[f(0.8-2*0.1)-4f(0.8-0.1)+3f(0.8)]`

`f^'(0.8)=1/0.2[f(0.6)-4f(0.7)+3f(0.8)]`

`f^'(0.8)=1/0.2[0.5646-4(0.6442)+3(0.7174)]`

`f^'(0.8)=0.6992`

Absolute Error:`|"exact value of " f^'(0.8)-(0.6992)|=|0.6967 -0.6992|=0.0025`



Three-point CDF (Central difference formula)
`f^'(x)=(f(x+h)-f(x-h))/(2h)`

`f^'(0.8)=(f(0.8+0.1)-f(0.8-0.1))/(2*0.1)`

`f^'(0.8)=(f(0.9)-f(0.7))/0.2`

`f^'(0.8)=(0.7833-0.6442)/0.2`

`f^'(0.8)=0.6955`

Absolute Error:`|"exact value of " f^'(0.8)-(0.6955)|=|0.6967 -0.6955|=0.0012`



Three-point FDF (Forward difference formula) for second derivatives
`f^('')(x)=(f(x)-2f(x+h)+f(x+2h))/(h^2)`

`f^('')(0.8)=(f(0.8)-2f(0.8+0.1)+f(0.8+2*0.1))/((0.1)^2)`

`f^('')(0.8)=(f(0.8)-2f(0.9)+f(1))/(0.01)`

`f^('')(0.8)=(0.7174-2(0.7833)+0.8415)/(0.01)`

`f^('')(0.8)=-0.7827`

Absolute Error:`|"exact value of " f^('')(0.8)-(-0.7827)|=|-0.7174 +0.7827|=0.0653`



Three-point BDF (Backward difference formula) for second derivatives
`f^('')(x)=(f(x-2h)-2f(x-h)+f(x))/(h^2)`

`f^('')(0.8)=(f(0.8-2*0.1)-2f(0.8-0.1)+f(0.8))/((0.1)^2)`

`f^('')(0.8)=(f(0.6)-2f(0.7)+f(0.8))/(0.01)`

`f^('')(0.8)=(0.5646-2(0.6442)+0.7174)/(0.01)`

`f^('')(0.8)=-0.6437`

Absolute Error:`|"exact value of " f^('')(0.8)-(-0.6437)|=|-0.7174 +0.6437|=0.0737`



Three-point CDF (Central difference formula) for second derivatives
`f^('')(x)=(f(x-h)-2f(x)+f(x+h))/(h^2)`

`f^('')(0.8)=(f(0.8-0.1)-2f(0.8)+f(0.8+0.1))/(0.1)^2`

`f^('')(0.8)=(f(0.7)-2f(0.8)+f(0.9))/(0.01)`

`f^('')(0.8)=(0.6442-2(0.7174)+0.7833)/(0.01)`

`f^('')(0.8)=-0.7168`

Absolute Error:`|"exact value of " f^('')(0.8)-(-0.7168)|=|-0.7174 +0.7168|=0.0006`


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5. Example-5 (`f(x)=xlnx`)
(Previous example)
3. Four point Forward, Backward, Central difference formula
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