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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.
Scaling: change a row by multiplying it by a non-zero scalar sri → ri For illustration, for the matrix:
I have a 400x2 vel.dat and 20x2 xy.dat file, how can i plot a streamslice graph on matlab with this two files.
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
Matrix Multiplication: The Matrix multiplication does not mean multiplying term by term; and it is not an array operation. The Matrix multiplication has a very particular mean
Example to change the line width from the default: For illustration, to change the line width from the default of 0.5 to 1.5: >> set(hl,'LineWidth',1.5) As long as the
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
IS Functions in Matlab: There are many functions which are built into MATLAB which test whether or not something is true; these function names start with the word is. As these
Function strncmp: The function strncmp compares only the first n characters in the strings and ignores the rest. The initial two arguments are strings to compare, and third ar
Calling of Function polyval: The curve does not appear very smooth on this plot, but that is as there are only five points in the x vector. To estimate the temperature
Example of Interpolation and extrapolation: The MATLAB has a function to do this, known as polyfit. The function polyfit finds the coefficients of the polynomial of the partic
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