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Friday, 27 July 2012
how to find prime number using c++
This is the source code for finding prime number
#include<iostream.h>
#include<conio.h>
main()
{
int n,d,p=1;
cout<<"enter the number?";
cin>>n;
d=2;
while(d<=n/2)
{
if(n%d==0)
p=0;
d++;
}
if(p==0)
cout<<"not prime number";
else
cout<<"prime number";
getch();
}
End
Wednesday, 25 July 2012
how to fill and display array using functions
This is the source code of how to fill and display array using functions
![](data:image/png;base64,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)
#include<iostream.h>
#include<conio.h>
const int n=9;
int GA[n];
void fillarray(void){
const int n=9;
int A[n];
int i=0;
while(i<=9){
cout<<"value of element"<<i<<"?"<<endl;
cin>>A[i];
GA[i]=A[i];
i++;
}
}
void displayarray(void){
for(int i=0;i<=9;i++){
cout<<GA[i]<<endl;
}
}
int main()
{
fillarray();
displayarray();
getch();
}
End
#include<iostream.h>
#include<conio.h>
const int n=9;
int GA[n];
void fillarray(void){
const int n=9;
int A[n];
int i=0;
while(i<=9){
cout<<"value of element"<<i<<"?"<<endl;
cin>>A[i];
GA[i]=A[i];
i++;
}
}
void displayarray(void){
for(int i=0;i<=9;i++){
cout<<GA[i]<<endl;
}
}
int main()
{
fillarray();
displayarray();
getch();
}
End
Sunday, 8 July 2012
How to calculate the average of all the values in the array
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