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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 those used in the fprintf function. The dimensions identify the preferred dimensions of mat; if the number of values in the file is not known, inf is used for the second dimension. For illustration, the below would read in the similar file identified earlier, that has on each line a number, then a space, then a character.
>> fid = fopen('subjexp.dat');
>> mat = fscanf(fid,'%f %c',[2 inf])
mat =
5.3000 2.2000 3.3000 4.4000 1.1000
97.0000 98.0000 97.0000 97.0000 98.0000
>> fclose(fid);
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
Graphics objects: The objects involve graphics primitives like lines and text, and also the axes used to orient the objects. These objects are organized hierarchically, and the
Logical errors: The Logical errors are more complicated to locate, as they do not result in any error message. The logical error is a mistake in reasoning by the programmer, b
Advanced File Input and output: Where 'format' involves the conversion characters much like those used in the fprintf function. For illustration, to read the file 'subjexp.dat
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
Generic code for Reading from Files: The generic code to complete this is as shown below: fid = fopen('filename'); if fid == -1 disp('File open not suc
Illustration of Nested loops: Running the script shows the output: >> printstars ***** ***** ***** The variable rows identifies the number of rows to print, and
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
Example of Median For the vector [1 4 5 9 12 33], the median is the average of the 5 & 9 in the middle: >> median([1 4 5 9 12 33]) ans = 7
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
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