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Empty Vectors:
An empty vector or in another words, a vector which stores no values, can be generated using the empty square brackets:
>> evec = []
evec = []
>> length(evec)
ans = 0
Then, values can be added to the vector by concatenating, or by adding values to the existing vector. The statement below takes what is presently in evec that is nothing, and adds a 4 to it.
>> evec = [evec 4]
evec = 4
The statement below takes what is presently in evec that is 4, and adds an 11 to it.
>> evec = [evec 11]
evec = 4 11
This can be continued as numerous times as desired, in order to build a vector up from nothing.
Changing Dimensions: In addition to transpose operator, the MATLAB has some built-in functions which change the dimensions or configuration of matrices, involving fliplr, resh
Illustration of Standard Deviation The less spread out the numbers are, therefore smaller the standard deviation will be, as it is a way of determining the spread of the data.
User input in the while loop: Here is an illustration of running this script: >> readonenum Enter a positive number: -5 Invalid! Enter a positive number: -2.2
Writing and Reading Spreadsheet Files: The MATLAB functions xlswrite & xlsread will write to and read from the spreadsheet files which have the extension .xls. For illustratio
Example of Minimum and Maximum Value For matrices, the functions min and max operate column wise by the default: >> mat = randint(2,4,[1 20]) mat = 9 10 1
Pie chart - plot functions: The MATLAB also has a function pie which will generate a pie chart. Calling the function with the form pie (vec) draws a pie chart, by using the pe
Functions to create special matrices: The MATLAB also has various functions which create special matrices. For illustration, the zeros function generates a matrix of all zeros
Built-in functions for Complex numbers: We know that in MATLAB both i and j are built-in functions which return √-1 (therefore, they can be thought of as built-in constants).
Differentiation: The derivative of a function y = f(x) can be written as follows or f '(x) and is defined as the rate of change of the dependent variable y with respe
Illustration of Variance For illustration, for the vector [4, 6, 1, 5], there are n = 4 values therefore n - 1 is 3. The mean of this data set is also 4. The variance will be
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