Saturday, 17 March 2018

Virtual Function in C++

A virtual function is a member function of class that is declared within a base class and again redefined (overridden) in derived class. Functions are declared with a virtual keyword in base class.

They are mainly used to achieve runtime polymorphism.

Virtual functions should be accessed using pointer or reference of base class type to achieve run time polymorphism

Use:
When you want to use same function name in both the base and derived class, then the function in base class is declared as virtual by using the virtual keyword and again re-defined this function in derived class without using virtual keyword.

Syntax:
     virtual  return_type  function_name()
     {
     //statements
      }

Example 1: Without Using virtual keyword
#include <iostream.h>
#include <conio.h>
class A
{
public:
 void display()
 {
  cout<<"base class function"<<endl;
 }
};

class B : public A
{
 public:
  void display()
  {
   cout<<" derive class function";
 }
};
void main()
{
clrscr();
A *ptr1;
B obj2;
ptr1=&obj2;
ptr1->display(); 
getch();
}
Output :
base class function
Note:
When we use Base class's pointer to hold Derived class's object, base class pointer or reference will always call the base class function
Example 2:Using virtual keyword
#include <iostream.h>
#include<conio.h>
class A
{
public:
 virtual void display()
 {
  cout<<"base class function"<<endl;
 }
};

class B : public A
{
 public:
  void display()
  {
   cout<<" derive class function";
 }
};

void main()
{
clrscr();
A obj1;
B obj2;
A *ptr1;
ptr1=&obj1;
ptr1->display();  // call base class function
ptr1=&obj2;
ptr1->display();  // call derive class function
getch();
}
Output:
base class function
derive class function



1 comment:

  1. Python is an open-source, high level, interpreted programming language which offers great opportunities for object-oriented programming. Choosing a python training program from Red Prism Group, which is best training institute for python in noida.

    ReplyDelete

apply function in R

1) apply function: It takes 3 arguments matrix,margin and function.. Example: m<-matrix(c(1,2,3,4),nrow=2,ncol=2) m #1 indicates it is ap...