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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
Median The median is defined only for a data set which has been sorted first, that means that the values are in order. The median of a sorted set of data values (n) is defined
Illustration of Mode When there is more than one value with similar (highest) frequency, then the smaller value is mode. In the case below, as 3 and 8 appear twice in the vecto
Tracing: Sometimes, when a program has loops and/or selection statements and is not running properly, it is helpful in the debugging process to know exactly which statements h
Reading from Files: There are many lower level functions which read from files. The function fscanf reads the formatted data into a matrix, by using conversion formats like %s
Help function: Function is computing the two values, there are two output arguments in the function header (i.e., area & circum), that are placed in the square brackets [ ]. A
fscanf function - file function: The fscanf reads matrix variable mat columnwise from the file specified by fid. The 'format' involves conversion characters much similar to th
Opening and Closing a File: The Files are opened with the fopen function. By the default, fopen function opens a file for reading. If the other mode is preferred, a permission
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 li
Use of function polyval: The better the curve fit, the more exact these interpolated and extrapolated values will be. By using the subplot function, we can loop to display the
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