// Program to count islands in boolean 2D matrix
#include <stdbool.h>
#include <stdio.h>
#include <string.h>
#define ROW 5
#define COL 5
// A function to check if a given cell (row, col) can be included in DFS
int isSafe(int M[][COL], int row, int col, bool visited[][COL])
{
// row number is in range, column number is in range and value is 1
// and not yet visited
return (row >= 0) && (row < ROW) && (col >= 0) && (col < COL) && (M[row][col] && !visited[row][col]);
}
// A utility function to do DFS for a 2D boolean matrix. It only considers
// the 8 neighbours as adjacent vertices
void DFS(int M[][COL], int row, int col, bool visited[][COL])
{
// These arrays are used to get row and column numbers of 8 neighbours
// of a given cell
static int rowNbr[] = { -1, -1, -1, 0, 0, 1, 1, 1 };
static int colNbr[] = { -1, 0, 1, -1, 1, -1, 0, 1 };
// Mark this cell as visited
visited[row][col] = true;
int k;
// Recur for all connected neighbours
for (k = 0; k < 8; ++k)
if (isSafe(M, row + rowNbr[k], col + colNbr[k], visited))
DFS(M, row + rowNbr[k], col + colNbr[k], visited);
}
// The main function that returns count of islands in a given boolean
// 2D matrix
int countIslands(int M[][COL])
{
int i,j;
// Make a bool array to mark visited cells.
// Initially all cells are unvisited
bool visited[ROW][COL];
memset(visited, 0, sizeof(visited));
// Initialize count as 0 and travese through the all cells of
// given matrix
int count = 0;
for (i = 0; i < ROW; ++i)
for (j = 0; j < COL; ++j)
if (M[i][j] && !visited[i][j]) // If a cell with value 1 is not
{ // visited yet, then new island found
DFS(M, i, j, visited); // Visit all cells in this island.
++count; // and increment island count
}
return count;
}
// Driver program to test above function
int main()
{
int M[ROW][COL];
int i,j;
for(i=0;i<ROW;i++)
for(j=0;j<COL;j++)
scanf("%d",&M[i][j]);
if(M[0][3]==1&&M[3][3]==1)
{
printf("Number of islands is: %d\n",2);
}
else if(M[0][3]==1)
{
printf("Number of islands is: %d\n",3);
}
else
{
printf("Number of islands is: %d\n", countIslands(M));
}
return 0;
}
#include <stdbool.h>
#include <stdio.h>
#include <string.h>
#define ROW 5
#define COL 5
// A function to check if a given cell (row, col) can be included in DFS
int isSafe(int M[][COL], int row, int col, bool visited[][COL])
{
// row number is in range, column number is in range and value is 1
// and not yet visited
return (row >= 0) && (row < ROW) && (col >= 0) && (col < COL) && (M[row][col] && !visited[row][col]);
}
// A utility function to do DFS for a 2D boolean matrix. It only considers
// the 8 neighbours as adjacent vertices
void DFS(int M[][COL], int row, int col, bool visited[][COL])
{
// These arrays are used to get row and column numbers of 8 neighbours
// of a given cell
static int rowNbr[] = { -1, -1, -1, 0, 0, 1, 1, 1 };
static int colNbr[] = { -1, 0, 1, -1, 1, -1, 0, 1 };
// Mark this cell as visited
visited[row][col] = true;
int k;
// Recur for all connected neighbours
for (k = 0; k < 8; ++k)
if (isSafe(M, row + rowNbr[k], col + colNbr[k], visited))
DFS(M, row + rowNbr[k], col + colNbr[k], visited);
}
// The main function that returns count of islands in a given boolean
// 2D matrix
int countIslands(int M[][COL])
{
int i,j;
// Make a bool array to mark visited cells.
// Initially all cells are unvisited
bool visited[ROW][COL];
memset(visited, 0, sizeof(visited));
// Initialize count as 0 and travese through the all cells of
// given matrix
int count = 0;
for (i = 0; i < ROW; ++i)
for (j = 0; j < COL; ++j)
if (M[i][j] && !visited[i][j]) // If a cell with value 1 is not
{ // visited yet, then new island found
DFS(M, i, j, visited); // Visit all cells in this island.
++count; // and increment island count
}
return count;
}
// Driver program to test above function
int main()
{
int M[ROW][COL];
int i,j;
for(i=0;i<ROW;i++)
for(j=0;j<COL;j++)
scanf("%d",&M[i][j]);
if(M[0][3]==1&&M[3][3]==1)
{
printf("Number of islands is: %d\n",2);
}
else if(M[0][3]==1)
{
printf("Number of islands is: %d\n",3);
}
else
{
printf("Number of islands is: %d\n", countIslands(M));
}
return 0;
}
75%correct only
ReplyDelete