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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 this search algorithm.
The key found in the fourth element of the vector.
Another illustration: search for the key 82:
The value of low cannot be greater than high; this means that the key is not in the vector. Therefore, the algorithm repeats until either the key is found or until low > high, that means the key is not there.
Data structure layers: There are many layers in this variable. For illustration, cyls is the whole data structure, that is a vector of structs cyls(1) is a separate
Illustration of Nested loops: Running the script shows the output: >> printstars ***** ***** ***** The variable rows identifies the number of rows to print, and
Example of customizing plots: As the other illustration of customizing plots, the pieces of a pie chart can be "exploded" from the rest. In this situation, the two vectors are
Steps for input output functions - Lower level file: The steps involved are as shown below: Open the file. Read the file, write to the file, or append to the file.
Functions which return Values versus printing: Also, the function which computes and returns values (throughout the output arguments) does not generally print them; that is le
fopen function - file function: The fopen opens the file for reading. The fscanf then reads each line one double and one character, and put each pair in individual columns in
Statistics There are numerous statistical analyses which can be executed on data sets. In MATLAB software, the statistical functions are in the data analysis help topic known a
Illustration of Mode When there is more than one value with similar (highest) frequency, then the smaller value is mode. In the case below, as 3 and 8 appear twice in the vecto
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
Curve Fitting: The data is fundamentally either discrete or continuous. In most of the applications, data is sampled, for illustration, The temperature recorded every ho
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