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Working of Editor and debugger:
Editor/Debugger, or commands can be typed from Command Window. For illustration, the dbstop command below will set a breakpoint in the fifth line of this function (that is the action of the if clause), that allows us to type the variable names and/or expressions to examine their values at that point in the execution. The dbcont function can be used to carry on the execution, and dbquit is used to quit the debug mode.
Note that the prompt becomes K>> in the debug mode.
>> dbstop testifelse 5
>> testifelse(-2)
5 disp('In middle of range')
K>> x
x =
-2
K>> 3 < x
ans =
0
K>> 3 < x < 6
1
K>> dbcont
In middle of range
end
>>
By typing the expressions 3 < x and then 3 < x < 6, we can conclude that the expression 3 < x will return either 0 or 1. Both 0 & 1 are less than 6, therefore the expression will always be true, despite of the value of x!
Execution of persistent variables: The functions can also be called from the script or from the Command Window, as shown here. For illustration, the functions are called first
Mode The mode of a data set is the value which appears most often. The built-in function in a MATLAB for this is known as the mode. >> x = [9 10 10 9 8 7 3 10 9 8 5 10];
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Illustration of Median When the vector is not in sorted order to start with, the median function will still return the right answer (it will sort the vector automatically). For
Program of Persistent variables: The program below elaborates this. The script calls a function func1 that initializes a variable count to 0, then increment it, and print the
#qYou will need to examine two of the nine sections of data: one section of qualitative data (choose either Gender or Position) one section of quantitative data (choose either Intr
Illustrations of Sequential search: The two illustrations of calling such function is as shown below: >> values = [85 70 100 95 80 91]; >> key = 95; >> seqsearch
Function polyval - interpolation: The function polyval can then be used to compute the polynomial at particular values. For illustration, we could compute at every value in th
Nested Functions: We have seen that the loops can be nested, that means that one inside of the other, functions can be nested. The terminology for nested functions is that an
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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