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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;
Executing a program: Running the program would be completed by typing the name of the script; this would call the other functions: >> calcandprintarea Whenever prompt
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
Reduced Row Echelon Form: The Gauss Jordan technique results in a diagonal form; for illustration, for a 3 × 3 system: The Reduced Row Echelon Forms take this one step
readlenwid function: function call: [length, width] = readlenwid; function header: function [l,w] = readlenwid In the function call, not any argument is passed; henc
Referring to and Showing Cell Array Elements and Attributes: Just as with the other vectors, we can refer to individual elements of the cell arrays. The only difference is tha
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
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] =
Reading from a File in a While Loop: Though in most languages the combination of a loop and an if statement would be essential to determine whether or not the elements in a ve
Algorithm for the function e: The algorithm for the function eoption is as shown: Use the menu function to show the 4 choices. Error-check (an error would take place
Examine exponential function: The algorithm for the main script program is shown below: Call a function eoption to show the menu and return the user's choice. Loop
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