Numerical Integration - Constant Increment The area under a curve can be estimated by breaking the x axis into increments, evaluating the function at a point inside that increment, and approximating the area under the curve in that increment as a rectangle. The figure below shows this approximation with an increment of 1 and the function being evaluated at the midpoint of the increment. 20 18 L 1.5 2 16 14 12 10 8 6 4 Script Given a range (upper and lower limits) and increment, use the midpoint approximation as shown above to estimate the area under the curve: y = x² + 2x In(x) You can assume that the increment given will evenly divide the range. 2.5 - 3 35 1 %% Variables to be used 2% Inputs 3% Xmin the minimum limit of the range 4% Xmax the maximum limit of the range. 5% inc the increment for the numerical approximation 6 7 % Outputs Save C Reset My Solutions > 8% area the final approximation of the area under the curve for the given range 9 10 %% Inputs 11 % This generates the scalars, Xmin, Xmax, and inc, with random values which will be used to evaluate your code 12 Xmin=randi(10)+1 13 inc=randi (3) 14 Xmax=Xmin+inc*(randi(8)+2) 15 16 %% Program 17 % Start writing your program here. MATLAB Documentation.
Numerical Integration - Constant Increment The area under a curve can be estimated by breaking the x axis into increments, evaluating the function at a point inside that increment, and approximating the area under the curve in that increment as a rectangle. The figure below shows this approximation with an increment of 1 and the function being evaluated at the midpoint of the increment. 20 18 L 1.5 2 16 14 12 10 8 6 4 Script Given a range (upper and lower limits) and increment, use the midpoint approximation as shown above to estimate the area under the curve: y = x² + 2x In(x) You can assume that the increment given will evenly divide the range. 2.5 - 3 35 1 %% Variables to be used 2% Inputs 3% Xmin the minimum limit of the range 4% Xmax the maximum limit of the range. 5% inc the increment for the numerical approximation 6 7 % Outputs Save C Reset My Solutions > 8% area the final approximation of the area under the curve for the given range 9 10 %% Inputs 11 % This generates the scalars, Xmin, Xmax, and inc, with random values which will be used to evaluate your code 12 Xmin=randi(10)+1 13 inc=randi (3) 14 Xmax=Xmin+inc*(randi(8)+2) 15 16 %% Program 17 % Start writing your program here. MATLAB Documentation.
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
Transcribed Image Text:Numerical Integration - Constant Increment
The area under a curve can be estimated by breaking the x axis into increments, evaluating the function at a point inside that increment, and approximating the area under the
curve in that increment as a rectangle. The figure below shows this approximation with an increment of 1 and the function being evaluated at the midpoint of the increment.
20
y
18
16
14
12
> 10
8
6
4
0
0.5
1
Script>
1.5
1
2
X
2.5
3
3.5
Given a range (upper and lower limits) and increment, use the midpoint approximation as shown above to estimate the area under the curve:
x² + 2x
In (x)
You can assume that the increment given will evenly divide the range.
4
1% Variables to be used
2% Inputs
3 % Xmin the minimum limit of the range
4% Xmax - the maximum limit of the range
5 % inc the increment for the numerical approximation
Save
C Reset
My Solutions >
6
7 % Outputs
8% area - the final approximation of the area under the curve for the given range
9
10% Inputs
11% This generates the scalars, Xmin, Xmax, and inc, with random values which will be used to evaluate your code
|12 Xmin=randi(10)+1
13 inc=randi(3)
14 Xmax=Xmin+inc×(randi(8)+2)
15
16 % Program
17% Start writing your program here
MATLAB Documentation
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