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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.
Vectorizing: In most of the cases in MATLAB, loops are not essential. As MATLAB is written specifically to work with the vectors and matrices, most operations can be completed
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
Areacirc function: The areacirc function can be called from the Command Window as shown here, or from a script. Here is a script which will prompt the user for the radius of o
Sequential Search: A sequential search is completed by looping through the vector element-by-element starting from the beginning, looking for the key. Usually the index of the
Illustration of Customizing plots: Illustration, the bar and barh functions by the default place a width of 0.8 between bars. Whenever called as bar(x,y), the width of 0.8 is
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
Operation on file: We concentrate first on the fgetl function that reads strings from the file one line at a time. The fgetl functions afford more control over how the data is
Illustration of nested for loops and the if statements: For illustration,when the file contains: 33 -11 2 4 5 9 22 5 -7 2 11 3 the outco
Polynomials: Simple curves are polynomials of various degrees, or orders. The degree is the integer of the highest exponent in the expression. The illustrations are as follows
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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