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Curve Fitting:
The data is fundamentally either discrete or continuous. In most of the applications, data is sampled, for illustration,
This gives data of the form of (x,y) points, which then could be plotted. For illustration, let's say the temperature was recorded every hour one afternoon from 2 to 6 p.m.; the vectors may be:
>> x = 2:6;
>> y = [65 67 72 71 63];
and then the plot may appear like figure as shown below:
Advanced File Input and Output: In that section, we saw how to read the values entered by user using the input as well as the output functions disp and fprintf, that shows inf
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
Example of Functions which complete a task: For illustration, the function below just prints the number arguments passed to it in a sentence format: As this function i
Statistics There are numerous statistical analyses which can be executed on data sets. In MATLAB software, the statistical functions are in the data analysis help topic known a
Steps for input output functions - Lower level file: The steps involved are as shown below: Open the file. Read the file, write to the file, or append to the file.
Types of errors: There are some various kinds of errors which can occur in a program, that fall into the categories of run-time errors, syntax errors, and logical errors. T
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
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
Vectors of nested structures: The Combining vectors and nested structures are possible to have a vector of structures in which several fields are structures themselves. Here i
Example of Vectorizing: Likewise, for an operation on a matrix, a nested loop would be needed; for illustration, supposing a matrix variable mat: [r c] = size(mat); for
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