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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`)

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`




This material is intended as a summary. Use your textbook for detail explanation.
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