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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.
Reading from Files: There are many lower level functions which read from files. The function fscanf reads the formatted data into a matrix, by using conversion formats like %s
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
The IF Statement: The if statement selects whether or not the other statement, or group of statements, is executed. The common form of the if statement is as shown below: i
Roots function - Polynomials: The roots function in MATLAB is used to find the roots of an equation represented by a polynomial. For illustration, for the mathematical functio
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
Example of Functions which complete a task: For illustration, the function below just prints the number arguments passed to it in a sentence format: As this function i
MENU Function: The MATLAB also has a built-in function known as menu which will display a figure Window with push buttons for the choices. The very first string passed to the
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
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
Introduction and Purpose In the lectures and tutorials you have been introduced to a number of probability distributions. You have also learned that modelling any system (such
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