Title: SE301:Numerical Methods Topic 6 Numerical Integration
1SE301Numerical MethodsTopic 6 Numerical
Integration
- Dr. Samir Al-Amer
- Term 061
2Lecture 17 Introduction to Numerical Integration
- Definitions
- Upper and Lower Sums
- Trapezoid Method
- Examples
3Integration
Indefinite Integrals Indefinite Integrals of a
function are functions that differ from each
other by a constant.
Definite Integrals Definite Integrals are
numbers.
4Fundamental Theorem of Calculus
5The Area Under the Curve
One interpretation of the definite integral is
Integral area under the curve
f(x)
a
b
6Numerical Integration Methods
- Numerical integration Methods Covered in this
course - Upper and Lower Sums
- Newton-Cotes Methods
- Trapezoid Rule
- Simpson Rules
- Romberg Method
- Gauss Quadrature
7Upper and Lower Sums
The interval is divided into subintervals
f(x)
a
b
8Upper and Lower Sums
f(x)
a
b
9Example
10Example
11Upper and Lower Sums
- Estimates based on Upper and Lower Sums are easy
to obtain for monotonic functions (always
increasing or always decreasing). - For non-monotonic functions, finding maximum and
minimum of the function can be difficult and
other methods can be more attractive.
12Newton-Cotes Methods
- In Newton-Cote Methods, the function is
approximated by a polynomial of order n - Computing the integral of a polynomial is easy.
13Newton-Cotes Methods
- Trapezoid Method (First Order Polynomial are
used) - Simpson 1/3 Rule (Second Order Polynomial are
used),
14Trapezoid Method
f(x)
15Trapezoid MethodDerivation-One interval
16Trapezoid Method
f(x)
17Trapezoid MethodMultiple Application Rule
f(x)
x
a
b
18Trapezoid MethodGeneral Formula and special case
19Example
Given a tabulated values of the velocity of an
object. Obtain an estimate of the distance
traveled in the interval 0,3.
Distance integral of the velocity
20Example 1
21Estimating the Error For Trapezoid method
22Error in estimating the integralTheorem
23Example
24Example
25Example
26SE301 Numerical MethodLecture 18Recursive
Trapezoid Method
Recursive formula is used
27Recursive Trapezoid Method
f(x)
28Recursive Trapezoid Method
f(x)
Based on previous estimate
Based on new point
29Recursive Trapezoid Method
f(x)
Based on previous estimate
Based on new points
30Recursive Trapezoid MethodFormulas
31Recursive Trapezoid Method
32Advantages of Recursive Trapezoid
- Recursive Trapezoid
- Gives the same answer as the standard Trapezoid
method. - Make use of the available information to reduce
computation time. - Useful if the number of iterations is not known
in advance.
33SE301Numerical Methods19. Romberg Method
- Motivation
- Derivation of Romberg Method
- Romberg Method
- Example
- When to stop?
34Motivation for Romberg Method
- Trapezoid formula with an interval h gives error
of the order O(h2) - We can combine two Trapezoid estimates with
intervals 2h and h to get a better estimate.
35Romberg Method
First column is obtained using Trapezoid Method
The other elements are obtained using the
Romberg Method
36First Column Recursive Trapezoid Method
37Derivation of Romberg Method
38Romberg Method
39Property of Romberg Method
Error Level
40Example 1
41Example 1 cont.
42When do we stop?
43SE301Numerical Methods 20. Gauss Quadrature
- Motivation
- General integration formula
- Read 22.3-22.3
44Motivation
45General Integration Formula
46Lagrange Interpolation
47Question
What is the best way to choose the nodes and the
weights?
48Theorem
49Weighted Gaussian QuadratureTheorem
50Determining The Weights and Nodes
51Determining The Weights and NodesSolution
52Theorem
53Determining The Weights and NodesSolution
54Determining The Weights and NodesSolution
55Gaussian QuadratureSee more in Table 22.1 (page
626)
626
56Error Analysis for Gauss Quadrature
627
57Example
58Example
59Improper Integrals
627
60Quiz