Transpose of a matrix is the property to interchange rows and columns of matrix i.e row will become the column of resultant matrix and column will become the row of resultant matrix.
Suppose we have matrices of order 3×3.
Matrix A :
1 2 3
4 5 6
7 8 9
then transpose of Matrix A will be
1 4 7
2 5 8
3 6 9
In transpose, order of square matrix remains same but order of matrix is in m x n order
then after transpose it changes to order n x m.
//header files
#include<iostream.h>
#include<conio.h>
int main()
{
// to clear the screen
clrscr();
//initialize variables
int a[10][10];
int b[10][10];
int x,y,i,j;
// to take input from user
cout<<“\nEnter the number of rows and columns :::\n\n”;
cin>>x>>y;
cout<<“\n\nEnter elements for Matrix A :::\n\n”;
for(i=0;i<x;i++)
{
for(j=0;j<y;j++)
{
cin>>a[i][j];
}
cout<<“\n”;
}
cout<<“\n\nMatrix A :\n\n”;
for(i=0;i<x;i++)
{
for(j=0;j<y;j++)
{
cout<<“\t”<<a[i][j];
}
cout<<“\n\n”;
}
for(i=0;i<y;i++)
{
for(j=0;j<x;j++)
{
b[i][j]=a[j][i];
}
}
cout<<“\n\nTranspose of Matrix A :\n\n”;
for(i=0;i<y;i++)
{
for(j=0;j<x;j++)
{
cout<<“\t”<<b[i][j];
}
cout<<“\n\n”;
}
getch();
return 0;
}
- MongoDB Operators Tutorial – What are Different Operators Available? - October 5, 2019
- MongoDB Projection Tutorial : Return Specific Fields From Query - March 9, 2019
- MongoDB Index Tutorial – Create Index & MongoDB Index Types - July 6, 2018