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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.
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.
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
Matrix of Plots: The other function which is very useful with any type of plot is subplot that creates a matrix of plots in the present Figure Window. The three arguments are
Illustration of Logical vectors: Calling the function appears to return similar vector as simply vec > 5, and summing the result still works to determine how many elements wer
Applications of Customized Strings: Labels, Prompts, Arguments to Functions: The one of very useful application of this is to involve numbers in strings that are used to plot
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
Creating string Variables: The string consists of a few numbers of characters (including, possibly, none). These are the illustrations of the strings: '' 'x' 'ca
Plot types: Besides plot and bar, there are another plot types like stem plots, histograms, stem plots, area plots and pie charts, and also other functions which customize the
Histogram: The histogram is a particular type of bar chart which shows the frequency of occurrence of the values within a vector. The Histograms use what are known as bins to
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).
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