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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(values, key)
ans =
4
>> seqsearch(values, 77)
0
This illustration supposes that the key is found only in one element in the vector. Also, however it works; it is not a very efficient algorithm. When the vector is large, and the key is found in the starting, this still loops through the rest of the vector. The improved version would loop until the key is found or the whole vector has been searched. In another words, a while loop is used instead of a for loop; there are two sections to the condition.
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#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
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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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
Illustration of Input in a for loop: In this illustration, the loop variable iv iterates through the values 1 through 3, therefore the action is repeated three times. The acti
Run-time or execution-time error: The Run-time, or execution-time, errors are found whenever a script or function is executing. With most of the languages, an illustration of
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
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