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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 and functions can be called with the vectors and matrices. However, the term vectorizing is used in MATLAB for rewriting code by using loops in a traditional programming language to the matrix operations in MATLAB.
In many programming languages, whenever performing an operation on a vector, a for loop is used to loop through the whole vector. For illustration, in MATLAB supposing that there is a vector variable vec:
for i = 1:length(vec)
% do something with vec(i)
end
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
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
Function polyval - interpolation: The function polyval can then be used to compute the polynomial at particular values. For illustration, we could compute at every value in th
Program of Persistent variables: The program below elaborates this. The script calls a function func1 that initializes a variable count to 0, then increment it, and print the
Example of customizing plots: As the other illustration of customizing plots, the pieces of a pie chart can be "exploded" from the rest. In this situation, the two vectors are
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
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
fopen function - file function: The fopen opens the file for reading. The fscanf then reads each line one double and one character, and put each pair in individual columns in
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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