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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.
The Colon Operator: If the values in the vector are regularly spaced, the colon operator is used to iterate through these values. For illustration, 1:5 results in all the inte
Illustration of script: For illustration, we will now generate a script known as script1.m which calculates area of the circle. It assigns a value for the radius, and then com
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Write a function rid_multiple_blanks that will receive a string as an input argument. The string contains a sentence that may have multiple blank spaces in between some of the word
Objectives In the following exercises, students are required ?rstly to implement code to determine the frequency components present in a signal, and then to extract a desired si
Creating Column Vectors: One way to generate a column vector is by explicitly putting the values in square brackets, separated by the semicolons: >> c = [1; 2; 3; 4] c =
Hold and legend function: hold: is a toggle which freezes the present graph in the figure window, so that the new plots will be superimposed on the present one. Just hold
construction
Compare results/performance with tridiagonal Gaussian elimination solver for the problem arising from -y''=f on (0,1) with y(0)=0=y(1). You may also need to use sparse storage an
Illustration to logical function: In addition to such logical operators, the MATLAB also has a function xor, that is the exclusive or function. It returns the logical true if
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