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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 read than the other input functions. The fgetl function reads one line of data from a file into the string; string functions can be used then to manipulate the data. As fgetl reads only one line, it generally is placed in a loop which keeps going until the end of the file is reached. The function feof returns the logical true if the end of the file has been reached. The function call feof(fid) would return the logical true when the end of the file has been reached for the file specified by fid, or logical false when not. A common algorithm for reading from a file into strings would be as shown below:
- read it into the string
- manipulate the data
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
Persistent Variables: Generally, whenever a function stops executing, then the local variables from that function are cleared. That means that each and every time a function i
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];
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
Rectangle - graphics objects: The other core graphics object is the rectangle that can have curvature added to it (!!). Merely calling the function rectangle without any argum
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.
Location of a rectangle - graphics objects: The location of a rectangle is [x y w h], where x and y are the coordinates of the lower left point, here w is the width, and h is
Illustration of Binary search: An illustration to search for the key of 91 in the vector is as shown below: The table below shows what will happen in each iteration of
Data structure layers: There are many layers in this variable. For illustration, cyls is the whole data structure, that is a vector of structs cyls(1) is a separate
Curve Fitting: The data is fundamentally either discrete or continuous. In most of the applications, data is sampled, for illustration, The temperature recorded every ho
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