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Uses of Function handles:
The Function handles can also be generated for functions other than anonymous functions, both built-in & user-defined functions. For illustration, the below would generate a function handle for the built-in factorial function:
>> facth = @factorial;
The @ operator acquiires the handle of the function, that is then stored in a variable facth.
The handle can be used to call the function, merely like the handle for the anonymous functions, for illustration:
>> facth(5)
ans =
120
By using the function handle to call the function rather than of using the name of the function does not itself elaborate why this is helpful, so a clear question would be why the function handles are essential.
Sound Files: The sound signal is an illustration of a continuous signal which is sampled to result in a discrete signal. In this situation, sound waves traveling through the a
Illustration of Variable scope: Running this function does not add any of variables to the workspace, as elaborated: >> clear >> who >> disp(mysum([5 9 1]))
Use of Nested if-else statements: By using the nested if-else to select from among the three possibilities, not all the conditions should be tested. In this situation, if x is
analyzing traffic; determine motion of flow; calculate tracklets; detect abnormalities;
Displaying expressions: The good-looking function will show such expressions by using exponents; for illustration, >> b = sym('x^2') b = x^2 >> pretty(b)
Example of modular program: In a modular program, there would be one main script which calls three separate functions to complete these tasks: A function to prompt an us
Subfunctions: Though, it is possible to have more than one function in a given M-file. For illustration, if one function calls the other, the first function would be the prima
function numden: The function numden will return individually the numerator & denominator of a symbolic expression: >> sym(1/3 + 1/2) ans = 5/6 >> [n, d] =
Creating a cell array: The other method of creating a cell array is easy to assign values to particular array elements and build it up element by element. Though, as explained
Use of built-in colormaps: MATLAB has built-in colormaps, it is also possible to generate others by using combinations of any colors. For illustration, the following generates
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