Given a matrix of odd order mat, the task is to find the farthest distance of a 0 from the center of the matrix. Distance between two elements at locations (i1, j1) and (i2, j2) of the matrix is calculated as |i1- i2| + |j1-j2|. If no 0 occurs in the matrix then print 0 as the result.
Examples:
Input: mat[][] = {{2, 3, 0}, {0, 2, 0}, {0, 1, 1}}
Output: 2
Input: mat[][] = {{2, 3, 4, {0, 2, 0}, {6, 1, 1}}
Output: 1
Approach:
The center of any matrix with odd order is at index i = j = floor(n/2). Now for finding the farthest distance of any 0 from the center, calculate the distance of each 0 from the center of the matrix as |i-n/2| + |j-n/2| and update the maximum distance as result. Print the result in the end or if the matrix doesn’t contain any 0 then print 0.
Below is the implementation of the above approach:
C++
#include <bits/stdc++.h>
#define n 3
using namespace std;
int farthestDistance( int matrix[][n])
{
int result = 0;
for ( int i = 0; i < n; i++) {
for ( int j = 0; j < n; j++) {
if (matrix[i][j] == 0)
result = max(result
, abs (i - n/2) + abs (j - n/2));
}
}
return result;
}
int main()
{
int matrix[n][n] = { { 1, 2, 3 }
, { 0, 1, 1 }
, { 0, 0, 0 } };
cout << farthestDistance(matrix);
return 0;
}
|
Java
import java.io.*;
class GFG {
static int n = 3 ;
static int farthestDistance( int matrix[][])
{
int result = 0 ;
for ( int i = 0 ; i < n; i++) {
for ( int j = 0 ; j < n; j++) {
if (matrix[i][j] == 0 )
result = Math.max(result
, Math.abs(i - n/ 2 ) + Math.abs(j - n/ 2 ));
}
}
return result;
}
public static void main (String[] args) {
int matrix[][] = { { 1 , 2 , 3 }
, { 0 , 1 , 1 }
, { 0 , 0 , 0 } };
System.out.print(farthestDistance(matrix));
}
}
|
Python3
n = 3
def farthestDistance(matrix):
result = 0
for i in range ( 0 , n):
for j in range ( 0 , n):
if (matrix[i][j] = = 0 ):
result = max (result, abs (i - n / / 2 ) +
abs (j - n / / 2 ))
return result
matrix = [[ 1 , 2 , 3 ],
[ 0 , 1 , 1 ],
[ 0 , 0 , 0 ]]
print (farthestDistance(matrix))
|
C#
using System;
class GFG
{
static int n = 3;
static int farthestDistance( int [,]matrix)
{
int result = 0;
for ( int i = 0; i < n; i++)
{
for ( int j = 0; j < n; j++)
{
if (matrix[i,j] == 0)
result = Math.Max(result ,
Math.Abs(i - n / 2) +
Math.Abs(j - n / 2));
}
}
return result;
}
static public void Main ()
{
int [,]matrix = {{ 1, 2, 3 },
{ 0, 1, 1 },
{ 0, 0, 0 }};
Console.WriteLine(farthestDistance(matrix));
}
}
|
PHP
<?php
$n = 3;
function farthestDistance( $matrix )
{
global $n ;
$result = 0;
for ( $i = 0; $i < $n ; $i ++)
{
for ( $j = 0; $j < $n ; $j ++)
{
if (( $matrix [ $i ][ $j ] == 0) > 0)
$result = max( $result ,
abs ( $i - $n / 2) +
abs ( $j - $n / 2));
}
}
return $result ;
}
$matrix = array ( array ( 1, 2, 3 ),
array ( 0, 1, 1 ),
array ( 0, 0, 0 ));
echo farthestDistance( $matrix );
?>
|
Javascript
<script>
var n = 3;
function farthestDistance(matrix)
{
var result = 0;
for ( var i = 0; i < n; i++) {
for ( var j = 0; j < n; j++) {
if (matrix[i][j] == 0)
result = Math.max(result
, Math.abs(i - n/2) + Math.abs(j - n/2));
}
}
return result;
}
var matrix = [ [ 1, 2, 3 ]
, [ 0, 1, 1 ]
, [ 0, 0, 0 ] ];
document.write( farthestDistance(matrix));
</script>
|
Complexity Analysis:
- Time Complexity: O(N*M), as we are using nested loops to traverse N*M times.
- Auxiliary Space: O(1), as we are not using any extra space for matrix.
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Last Updated :
09 Sep, 2022
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