Given a n x n matrix. The problem is to sort the matrix row-wise and column wise.
Examples:
Input : mat[][] = { {4, 1, 3}, {9, 6, 8}, {5, 2, 7} } Output : 1 3 4 2 5 7 6 8 9 Input : mat[][] = { {12, 7, 1, 8}, {20, 9, 11, 2}, {15, 4, 5, 13}, {3, 18, 10, 6} } Output : 1 5 8 12 2 6 10 15 3 7 11 18 4 9 13 20
Approach: Following are the steps:
- Sort each row of the matrix.
- Get transpose of the matrix.
- Again sort each row of the matrix.
- Again get transpose of the matrix.
Algorithm for getting transpose of the matrix:
for (int i = 0; i Java
// Java implementation to sort the
// matrix row-wise and column-wise
import
java.util.Arrays;
class
GFG
{
static
final
int
MAX_SIZE=
10
;
// function to sort each row of the matrix
static
void
sortByRow(
int
mat[][],
int
n)
{
for
(
int
i =
0
; i < n; i++)
// sorting row number 'i'
Arrays.sort(mat[i]);
}
// function to find transpose of the matrix
static
void
transpose(
int
mat[][],
int
n)
{
for
(
int
i =
0
; i < n; i++)
for
(
int
j = i +
1
; j < n; j++)
{
// swapping element at index (i, j)
// by element at index (j, i)
int
temp=mat[i][j];
mat[i][j]=mat[j][i];
mat[j][i]=temp;
}
}
// function to sort the matrix row-wise
// and column-wise
static
void
sortMatRowAndColWise(
int
mat[][],
int
n)
{
// sort rows of mat[][]
sortByRow(mat, n);
// get transpose of mat[][]
transpose(mat, n);
// again sort rows of mat[][]
sortByRow(mat, n);
// again get transpose of mat[][]
transpose(mat, n);
}
// function to print the matrix
static
void
printMat(
int
mat[][],
int
n)
{
for
(
int
i =
0
; i < n; i++) {
for
(
int
j =
0
; j < n; j++)
System.out.print(mat[i][j] +
" "
);
System.out.println();
}
}
// Driver code
public
static
void
main (String[] args)
{
int
mat[][] = { {
4
,
1
,
3
},
{
9
,
6
,
8
},
{
5
,
2
,
7
} };
int
n =
3
;
System.out.print("Original Matrix:
");
printMat(mat, n);
sortMatRowAndColWise(mat, n);
System.out.print("
Matrix After Sorting:
");
printMat(mat, n);
}
}
// This code is contributed by Anant Agarwal.
Output:
Original Matrix: 4 1 3 9 6 8 5 2 7 Matrix After Sorting: 1 3 4 2 5 7 6 8 9Time Complexity: O(n2log2n).
Auxiliary Space: O(1).
Please refer complete article on Sort the matrix row-wise and column-wise for more details!
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