N Queen Recursion
N Queen Problem | Return all Distinct Solutions to the N-Queens Puzzle​
- Problem Statement: The n-queens is the problem of placing n queens on n × n chessboard such that no two queens can attack each other. Given an integer n, return all distinct solutions to the n -queens puzzle. Each solution contains a distinct boards configuration of the queen's placement, where ‘Q’ and ‘.’ indicate queen and empty space respectively.
#include <bits/stdc++.h>
using namespace std;
class Solution {
public:
bool isSafe1(int row, int col, vector < string > board, int n) {
// check upper element
int duprow = row;
int dupcol = col;
while (row >= 0 && col >= 0) {
if (board[row][col] == 'Q')
return false;
row--;
col--;
}
col = dupcol;
row = duprow;
while (col >= 0) {
if (board[row][col] == 'Q')
return false;
col--;
}
row = duprow;
col = dupcol;
while (row < n && col >= 0) {
if (board[row][col] == 'Q')
return false;
row++;
col--;
}
return true;
}
public:
void solve(int col, vector < string > & board, vector < vector < string >> & ans, int n) {
if (col == n) {
ans.push_back(board);
return;
}
for (int row = 0; row < n; row++) {
if (isSafe1(row, col, board, n)) {
board[row][col] = 'Q';
solve(col + 1, board, ans, n);
board[row][col] = '.';
}
}
}
public:
vector < vector < string >> solveNQueens(int n) {
vector < vector < string >> ans;
vector < string > board(n);
string s(n, '.');
for (int i = 0; i < n; i++) {
board[i] = s;
}
solve(0, board, ans, n);
return ans;
}
};
int main() {
int n = 4; // we are taking 4*4 grid and 4 queens
Solution obj;
vector < vector < string >> ans = obj.solveNQueens(n);
for (int i = 0; i < ans.size(); i++) {
cout << "Arrangement " << i + 1 << "\n";
for (int j = 0; j < ans[0].size(); j++) {
cout << ans[i][j];
cout << endl;
}
cout << endl;
}
return 0;
}
Time and Space Complexity​
Time Complexity​
- Worst Case: - In the worst case, the algorithm explores all possible permutations of placing queens, which can result in configurations being evaluated.
- Best Case: - Even with pruning through the
isSafecheck, the algorithm must still explore many configurations.
Space Complexity​
- - The board itself requires space to store the placement of queens.
- - The recursion stack depth is at most since we place queens column by column.
- Total: for the board representation plus for the recursion stack.
Explanation​
The N-Queens problem is solved using backtracking with recursion. For each column, the algorithm tries placing a queen in each row, checks if it's safe (not threatened by other queens), and recursively moves to the next column. If a valid placement is found for all columns, it's stored as a solution. If not, the algorithm backtracks and tries the next row. While exponential, the isSafe pruning significantly reduces the search space compared to a brute-force exploration of all positions.