What if you could solve a tricky puzzle by smartly trying and undoing moves instead of guessing blindly?
Why N Queens Problem in DSA Java?
Imagine you have a chessboard and you want to place queens so that none can attack each other. You try to do this by guessing positions one by one, checking if they attack each other manually.
Manually checking every possible position and combination is slow and confusing. It's easy to make mistakes and miss valid solutions or waste time on impossible ones.
The N Queens Problem uses a smart way to place queens step-by-step, checking only safe spots and backtracking when stuck. This method finds all solutions without guessing blindly.
for (int i = 0; i < board.length; i++) { for (int j = 0; j < board.length; j++) { if (safeToPlace(i, j)) { placeQueen(i, j); } } }
void solveNQueens(int row) {
if (row == N) printBoard();
else {
for (int col = 0; col < N; col++) {
if (isSafe(row, col)) {
placeQueen(row, col);
solveNQueens(row + 1);
removeQueen(row, col);
}
}
}
}This approach lets us efficiently find all ways to place queens safely on the board, even for large sizes.
It's like scheduling tasks so none overlap or conflict, ensuring smooth operation without clashes.
Manual guessing is slow and error-prone.
Backtracking checks safe spots step-by-step.
Efficiently finds all valid queen placements.
Practice
N Queens Problem?Solution
Step 1: Understand the problem statement
The N Queens Problem requires placing N queens on an NxN chessboard so that no two queens threaten each other.Step 2: Identify the correct goal
This means no two queens share the same row, column, or diagonal.Final Answer:
Place N queens on an NxN chessboard so that no two queens attack each other -> Option BQuick Check:
Goal = Place queens safely [OK]
- Thinking queens can share the same row or column
- Confusing the problem with counting queens
- Assuming queens only attack diagonally
Solution
Step 1: Check method signature correctness
The recursive method should return a boolean indicating success/failure, take current row, board size, and board state.Step 2: Validate parameter order and modifiers
public static boolean solveNQueens(int row, int n, int[][] board) matches this: public static boolean solveNQueens(int row, int n, int[][] board)Final Answer:
public static boolean solveNQueens(int row, int n, int[][] board) -> Option CQuick Check:
Correct signature = public static boolean solveNQueens(int row, int n, int[][] board) [OK]
- Wrong return type (e.g., void instead of boolean)
- Incorrect parameter order
- Missing static keyword if required
public class NQueensTest {
static int count = 0;
public static void main(String[] args) {
int n = 4;
int[][] board = new int[n][n];
solveNQueens(0, n, board);
System.out.println(count);
}
static boolean solveNQueens(int row, int n, int[][] board) {
if (row == n) {
count++;
return true;
}
boolean res = false;
for (int col = 0; col < n; col++) {
if (isSafe(row, col, board, n)) {
board[row][col] = 1;
res = solveNQueens(row + 1, n, board) || res;
board[row][col] = 0;
}
}
return res;
}
static boolean isSafe(int row, int col, int[][] board, int n) {
for (int i = 0; i < row; i++) {
if (board[i][col] == 1) return false;
}
for (int i = row, j = col; i >= 0 && j >= 0; i--, j--) {
if (board[i][j] == 1) return false;
}
for (int i = row, j = col; i >= 0 && j < n; i--, j++) {
if (board[i][j] == 1) return false;
}
return true;
}
}Solution
Step 1: Understand the code logic
The code counts all valid solutions for 4 queens on a 4x4 board using backtracking.Step 2: Recall known result for 4 queens
It is a well-known fact that there are 2 valid solutions for the 4 queens problem.Final Answer:
2 -> Option AQuick Check:
Number of solutions for N=4 = 2 [OK]
- Assuming only 1 solution exists
- Confusing number of solutions with board size
- Ignoring backtracking resets
static boolean isSafe(int row, int col, int[][] board, int n) {
for (int i = 0; i < row; i++) {
if (board[i][col] == 1) return false;
}
for (int i = row, j = col; i >= 0 && j >= 0; i--, j--) {
if (board[i][j] == 1) return false;
}
for (int i = row, j = col; i >= 0 && j <= n; i--, j++) {
if (board[i][j] == 1) return false;
}
return true;
}Solution
Step 1: Analyze the safety checks
The column check and upper-left diagonal are correct.Step 2: Identify the bug in upper-right diagonal
The loop condition 'i >= 0 && j <= n' allows j to reach n (e.g., when col = n-1, after first iteration j = n), causing ArrayIndexOutOfBoundsException on board[i][n].Final Answer:
It incorrectly checks columns beyond the board size -> Option AQuick Check:
Upper-right diagonal: j <= n causes out-of-bounds [OK]
- Forgetting off-by-one errors in diagonal loop conditions
- Overlooking array bounds in upper-right diagonal traversal
- Confusing upper vs lower diagonal checks
Solution
Step 1: Understand the requirement
We want to find and print all distinct solutions, not just one.Step 2: Choose the correct approach
Modifying the recursive function to continue searching after finding a solution and storing each valid board is the correct approach.Step 3: Eliminate wrong options
Stopping after first solution won't find all solutions. Greedy algorithm to place queens in the first available safe spot in each row and placing all queens in the first row and check if they attack each other are incorrect strategies.Final Answer:
Modify the recursive function to store each valid board configuration in a list instead of returning after first success -> Option DQuick Check:
Store all solutions by continuing recursion [OK]
- Stopping recursion after first solution
- Using greedy instead of backtracking
- Placing multiple queens in one row
Ready to prove it?
Pass the test and this pattern moves unknown
