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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;
calcrectarea subfunction: function call: area = calcrectarea(len,wid); function header: function area = calcrectarea(len, wid) In the function call, the two arg
Example of Menu driven modular program: As an illustration of such a menu-driven program, we will write a program to discover the constant e. The constant e, known as the n
Plotting File data: It is frequently essential to read data from a file and plot it. Generally, this entails knowing the format of the file. For illustration, let us suppose t
str2num function - String: The function str2num does the opposite; it takes the string in which a number is stored and converts it to the type double: >> num = str2num('123.
Square Matrices: If a matrix has similar number of rows and columns, for illustration, if m == n, the matrix is square matrix. The definitions which follow in this part apply
Graphics Properties: The MATLAB uses the Handle Graphics in all its figures. All figures consist of various objects, each of which is assigned a handle. The object handle is a
Illustration of gauss-jordan elimination: An illustration of interchanging rows would be r1 ¬→ r3, that would results: Now, beginning with this matrix, an illustration of sc
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
Technique is to create one element - vector: Technique is to create one element with the values from one structure, and use repmat to replicate it to the preferred size. Then,
I have a frequency response data. How do I convert that to state space? I am given a 6 row and 3 column data (steady state). How do i convert that to state space model?
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