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Numerical Integration

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Presentation on theme: "Numerical Integration"— Presentation transcript:

1 Numerical Integration

2 Definite Integrals

3 NUMERICAL INTEGRATION
Riemann Sum Use decompositions of the type General kth subinterval:

4 RULES TO SELECT POINTS Riemann Sum Left Rule

5 RULES TO SELECT POINTS Riemann Sum Right Rule

6 RULES TO SELECT POINTS Riemann Sum Midpoint Rule

7 RULES TO SELECT POINTS Left Approximation LEFT(n) =
Right Approximation RIGHT(n) =

8 Midpoint Approximation
RULES TO SELECT POINTS Midpoint Approximation MID(n) =

9 PROPERTIES Property If f is increasing, LEFT(n) RIGHT(n)

10 PROPERTIES

11 PROPERTIES Property For any function,

12 PROPERTIES Property If f is increasing, Hence

13 If f is increasing or decreasing:
PROPERTIES Property If f is increasing or decreasing:

14 CONCAVITY Recall The graph of a function f is concave up, if the graph lies above any of its tangent line.

15 MIDPOINT APPROXIMATIONS
MID(n) =

16 MIDPOINT APPROXIMATIONS
The two blue areas on the left are the same. The blue polygon in the middle is contained in the domain under the concave-up curve. MID(n)

17 MIDPOINT APPROXIMATIONS
If the function f takes positive values, and if the graph of f is concave-up MID(n)

18 MIDPOINT APPROXIMATIONS
If the function f takes positive values, and if the graph of f is concave-down MID(n)

19 TRAPEZOIDAL APPROXIMATIONS
LEFT(n) rectangle RIGHT(n) rectangle TRAP(n) polygon

20 TRAPEZOIDAL APPROXIMATIONS
If the function f takes positive values and is concave-up TRAP(n) polygon

21 COMPARING APPROXIMATIONS
Example f The graph of a function f is increasing and concave up. a b Arrange the various numerical approximations of the integral into an increasing order.

22 COMPARING APPROXIMATIONS
Example f Because f is increasing, a b Because f is positive and concave-up,

23 COMPARING APPROXIMATIONS
Example f Because f is increasing and concave-up, a b

24 COMPARING APPROXIMATIONS
Example f Because f is increasing and concave-up, a b

25 SUMMARY Left Approximation LEFT(n) = Right Approximation RIGHT(n) =

26 SUMMARY Midpoint Approximation MID(n) = Trapezoidal Approximation

27 SIMPSON’S APPROXIMATION
In many cases, Simpson’s Approximation gives best results.


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