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Problem 1. Create a vector representing x coordinates of a measurement with 20 points between 0 and 10. Create another vector y representing fake measurements which are related to the above x values as y = 2.3 x - 1.2. Next add random (normal, Gaussian) noise to the vector y. Plot on the same graph both versions of vector y in different colors. Next use attached linregr.m function to find a least square fit (linear regression) for your fake experimental data.
Problem 2. Create a three dimensional diagram of function z = (x-2)2 + (y-3)3.
Capture the matlab code in a text file.
You will write functions • B=null basis(A,tol); • B=range basis(A,tol); The function null basis takes a matrix A as input, and outputs a basis for the null space of A, obtained via
Referring to and Modifying Elements: The particular element in a vector is accessed by using the name of the vector variable and the element number (or subscript, or index) in
Variable number of input arguments: For illustration, the below function areafori has a variable number of input arguments, either the 1 or 2. The name of the function stands
Functions with Local Variables: The functions we have seen faraway have been very easy. Though, in many situations the computations in a function are more complex, and may nee
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To change a variable: To change a variable, the other assignment statement can be used that assigns the value of a different expression to it. Consider, for illustration, the
The following four 4 equations are needed to be plotted as CONTOUR lines on the axes space (C, T) where C is the horizontal axis, and T is the vertical axis. Contour lines for
Illustrations of calling the rand function: The function ‘rand’ can be used to produce random real numbers; calling it produces one random real number in the range from 0 to
a. Develop and submit the simulation described above. b. Provide a screen shot of the outputs of the DispConfig and MCResults functions. c. Notes: • Include the PPConfig f
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