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6. Numerical Integration 6.1 Definition of numerical integration. 6.2 Reasons to use numerical integration. 6.3 Formulas of numerical Integration. 6.4.

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Presentation on theme: "6. Numerical Integration 6.1 Definition of numerical integration. 6.2 Reasons to use numerical integration. 6.3 Formulas of numerical Integration. 6.4."— Presentation transcript:

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2 6. Numerical Integration 6.1 Definition of numerical integration. 6.2 Reasons to use numerical integration. 6.3 Formulas of numerical Integration. 6.4 Applications of numerical integration.

3 6.1 Numerical Integration

4 Degree of Precision

5 6.2 Reasons to use numerical integration Form of the function is not known. Integrand is not known clearly. Integrand is known but it is difficult or impossible to find antiderivative.

6 6.3 Quadrature formula

7 Continued..

8 Trapezoidal Rule

9 Continued..

10 Simpson’s 1/3 rd Rule

11 Continued..

12 Simpson’s 3/8 th Rule

13 Continued..

14 Example A solid of revolution is formed by rotating about the x-axis, the lines x = 0 and x = 1.5, and a curve through the points with the following coordinates Estimate the volume of the solid formed, giving the answer to four decimal places by Trapezoidal rule, Simpson’s ⅓ and Simpson’s ⅜ rule of integration. x0.000.250.500.751.001.251.50 y1.00000.98960.95890.90890.84150.77350.7068

15 Solution X0.000.250.500.751.001.251.50 1.00000.97930.91950.82610.70810.59840.4996

16 Continued

17 Error Then the absolute relative approximate error obtained between the results from Trapezoidal rule and Simpson’s ⅓ rule is 0.18334 and the absolute relative approximate error obtained between the results from Simpson’s ⅓ rule and Simpson’s ⅜ rule is 0.04519

18 Comparison table Table:-Comparison of results of different methods of numerical Integration. Method of Integration Trapezoidal ruleSimpson’s ⅓ ruleSimpson’s ⅜ rule Volume3.75673.76363.7619 Absolute relative Approximate error ---------------0.183340.04519

19 Applications of numerical integration. Numerical integration is specially used in statistics in maximum likelihood & normal distribution. It is also used in cloud computing and to find out the definite integral when we are not knowing the form of the function etc.


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