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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.
Built-in function for Differentiation: The MATLAB has a built-in function, diff that returns the differences between consecutive elements in a vector. For illustration, >>
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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
Counting in a While Loop: Whenever it is not known ahead of the time how many values will be entered into the script, it is often essential to count the number of values which
Three-Dimensional Plots: The MATLAB has many functions which will display three-dimensional plots. Most of these functions have similar name as corresponding two-dimensional p
Error-Checking for Integers: As MATLAB uses the type double by default for all the values, to check to make confirm that the user has entered an integer, the program have to c
Symbolic Expression The solve function solves an equation and returns the solution(s) as symbolic expressions. The answer can be converted to numbers by using any numeric funct
Example of Symbolic Expression When there is more than one variable, the MATLAB selects which to solve for. In the illustration below, the equation ax 2 + bx = 0 is solved. Th
Indexed empty matrix: The Individual elements cannot be eliminated from matrices, as matrices always have the similar number of elements in every row. >> mat = [7 9 8; 4 6
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.
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