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Anonymous Functions:
The anonymous function is a very easy, one-line function. The benefit of an anonymous function is that it does not have to be stored in an M-file. This can deeply simplify the programs, as often computations are very easy, and the use of anonymous functions decreases the number of M-files essential for a program. The Anonymous functions can be generated in the Command Window or in any script. The format for an anonymous function is as shown below:
fnhandle = @ (arguments) functionbody
here fnhandle stores the function handle; it is necessarily a way of referring to the function. The handle is assigned to this name by using the @ operator. The arguments, in the parentheses, correspond to the argument(s) which are passed to the function, merely like any other type of function. The function body is the body of the function that is any valid MATLAB expression. For illustration, here is an anonymous function which computes and returns the area of a circle:
>> cirarea = @ (radius) pi * radius .^2;
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
Anonymous Functions: The anonymous function is a very easy, one-line function. The benefit of an anonymous function is that it does not have to be stored in an M-file. This ca
Algorithm for appex subfunction: The algorithm for appex subfunction is as shown: Receives x & n as the input arguments. Initializes a variable for running sum of t
I have a vector of X, one for Y , one for x-direction velocity U and one for y-direction velocity V. they are at same size. How can I plot streamline of that flow? I follow all exa
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Illustration of gauss-jordan: Here's an illustration of performing such substitutions by using MATLAB >> a = [1 3 0; 2 1 3; 4 2 3] a = 1 3 0 2 1 3 4 2
Illustration of Set operations: For illustration, given the vectors as shown below: >> v1 = 2:6 v1 = 2 3 4 5 6 >> v2 = 1:2:7 v2 = 1 3 5 7
Interpolation and extrapolation: In most cases, it is desired to estimate values other than at the sampled data points. For illustration, we may want to estimate what the temp
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