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Curve Fitting:
The data is fundamentally either discrete or continuous. In most of the applications, data is sampled, for illustration,
This gives data of the form of (x,y) points, which then could be plotted. For illustration, let's say the temperature was recorded every hour one afternoon from 2 to 6 p.m.; the vectors may be:
>> x = 2:6;
>> y = [65 67 72 71 63];
and then the plot may appear like figure as shown below:
Location of a rectangle - graphics objects: The location of a rectangle is [x y w h], where x and y are the coordinates of the lower left point, here w is the width, and h is
Example of Mode When no value appears more often than any other, the smallest value in the vector will be the mode of the vector. >> shortx = [2 5 1 4]; >> mode(shortx
Illustration of Binary search: An illustration to search for the key of 91 in the vector is as shown below: The table below shows what will happen in each iteration of
Execution of persistent variables: The functions can also be called from the script or from the Command Window, as shown here. For illustration, the functions are called first
Determine sequence weights for the sequences ACTA, ACTT, CGTT, and AGAT in problem 1 by using Thompson, Higgins, and Gibson method a) compute pairwise distances between sequences
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Program of Persistent variables: The program below elaborates this. The script calls a function func1 that initializes a variable count to 0, then increment it, and print the
Median The median is defined only for a data set which has been sorted first, that means that the values are in order. The median of a sorted set of data values (n) is defined
Example of Core objects: The one core graphics object is a line that is also what the plot function produces. Here is an illustration of generating a line object, altering som
Logical Built-In Functions: There are built-in functions in the MATLAB which are useful in conjunction with vectors or matrices of all logical true or false values; two of the
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