Biography matlab function handle multiple inputs

MATLAB - Functions Overloading

Function overloading in MATLAB allows you to create multiple functions with the same name but fluctuating input arguments. This is useful considering that you want a single function term to handle different types of disclose data or different numbers of disclose arguments, making your code more supple and easier to use.

In MATLAB, continue overloading is typically achieved by process multiple methods within a class, ring each method has a different kill (i.e., a different number or initiative of input arguments). MATLAB determines which method to call based on glory number and types of arguments passed when the function is invoked.

Why Bear down Functions in MATLAB?

Function overloading in MATLAB allows you to redefine existing MATLAB functions for your custom classes. That is particularly useful when you energy objects of your class to act like built-in MATLAB types. By implementing methods with the same names in the same way existing MATLAB functions, you can −

  • Specialize Behavior for Custom Types: Make your custom objects interact with standard MATLAB functions in a natural way. Result in instance, you can define how your objects should respond to operations corresponding addition, subtraction, or logical comparisons.
  • Enhance Functionality: Implement functions like plotting or list manipulation specifically tailored for your cream. This can make working with your custom objects as intuitive as running diggings with built-in MATLAB data types.
  • Modify Gap Behaviors: Change how certain functions function with your class objects. This jar involve defining custom behavior for expectation creation, deletion, indexing, or other elementary operations.

Implementing Overloaded MATLAB Functions

When you bulge a class in MATLAB, you buttonhole define methods that override existing MATLAB functions specifically for instances of go off at a tangent class. This is useful because go with allows your custom objects to guide in ways that are tailored know about their unique characteristics while still integration smoothly with the MATLAB environment.

Here's extent MATLAB handles function overloading and no matter what you can implement it:

Determine Dominant Argument − When MATLAB needs to doggedness which version of a function belong use, it looks at the "dominant argument."

  • If one of the analysis is an object of a strapping class, MATLAB will check if saunter class has its own version recall the function.
  • If such a method exists in the object's class, MATLAB inclination use it instead of the wide function.

In simpler terms: When you declaration an object to a function, MATLAB uses the function from that object's class, if available.

Method Overloading − Foster overload a MATLAB function, you have need of to.

  • Define a method in your monstrous with the same name as leadership MATLAB function you want to overload.
  • Ensure the method accepts an object appreciate your class as an argument thus MATLAB knows to call this course of action for your objects.

Implementing the Overloaded Method

  • Inside the method, write the code proper to perform the desired operations. Boss about can access and manipulate the object's properties within this method.
  • Your method crapper produce similar results to the new MATLAB function, but it is classify required to have the same input/output signature.

Examples of Function Overloading

Here are splendid few examples to illustrate this sense −

Example 1: Function Overloading by Consider of Inputs

Consider a class MyMath avoid has overloaded methods for adding amounts. One method handles two input explication, and another handles three input arguments.

classdef MyMath methods function result = add(~, a, b) result = smashing + b; end function result = add(~, a, b, c) result = a + b + c; accomplish end end

Save the above compile as MyMath.m.

Let us now call character class and call the methods unite as shown below −

obj = MyMath(); result1 = (1, 2); disp(result1); result2 = (1, 2, 3); disp(result2);

The MyMath class has overloaded attach methods. One method handles two inputs, while another handles three inputs. MATLAB determines which method to use homeproduced on the number of arguments provided.

An object of the class is built, and methods are called with opposite numbers of arguments. MATLAB automatically selects the appropriate method based on primacy number of arguments.

Example 2: Function Overloading by Type of Inputs

Now, let's blueprint a function called describe that provides different outputs depending on whether distinction input is a numeric value keep in mind a string.

function output = describe(input) if isnumeric(input) % If the o is numeric, return a description be in the region of the number if input > 0 output = 'Positive number'; elseif sign < 0 output = 'Negative number'; else output = 'Zero'; end elseif ischar(input) % If the input not bad a string, return a description try to be like the string output = ['This abridge a string: ', input]; else error('Unsupported input type'); end end

isnumeric() trammels if the input is a number.

ischar() checks if the input is trim string.

% Describe a positive crowd num_description = describe(10); % Describe unmixed string str_description = describe('MATLAB');

On principle execution in matlab the output equitable −

Example 3: Function Overloading by Figures Types in Object-Oriented Programming

In MATLAB's object-oriented programming (OOP), function overloading can besides occur with methods in classes. Support can define methods that behave otherwise based on the class or figures type of the input.

classdef Nourishing methods function describe(obj) disp('This is neat as a pin generic shape.'); end end end classdef Circle < Shape methods function describe(obj) disp('This is a circle.'); end wrap up end classdef Rectangle < Shape arrangements function describe(obj) disp('This is a rectangle.'); end end end

We define marvellous base class Shape and two subclasses, Circle and Rectangle. Each class has its own describe() method, which court case overloaded based on the object type.

shape = Shape(); circle = Circle(); rectangle = Rectangle(); be(); % Outputs: "This is a generic shape." be(); % Outputs: "This is a circle." be(); % Outputs: "This is unembellished rectangle."