To place N queens on an N×N chessboard so that no two queens attack each other. This means no two queens share the same row, column, or diagonal.
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beginner
How do we check if a queen placement is safe in the N Queens Problem?
We check three conditions: no other queen in the same column, no other queen in the same major diagonal, and no other queen in the same minor diagonal.
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intermediate
What technique is commonly used to solve the N Queens Problem?
Backtracking is used. It tries placing queens row by row and backtracks if a conflict is found, exploring all possible safe placements.
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intermediate
Why is backtracking suitable for the N Queens Problem?
Because it systematically explores all possible queen placements and abandons paths that lead to conflicts early, saving time and effort.
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advanced
What is the time complexity of the N Queens Problem using backtracking?
The worst-case time complexity is O(N!), because each queen placement reduces the options for the next queen, but many branches are pruned.
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In the N Queens Problem, what does a 'safe' position mean?
ANo other queen in the same row only
BNo other queen in the same row, column, or diagonal
CNo other queen in the same column only
DNo other queen in the same diagonal only
✗ Incorrect
A safe position means no queen attacks another, so no queens share the same row, column, or diagonal.
Which algorithmic technique is primarily used to solve the N Queens Problem?
AGreedy algorithm
BDynamic programming
CBacktracking
DDivide and conquer
✗ Incorrect
Backtracking tries all possible placements and backtracks when conflicts occur.
How many queens must be placed on the board in the N Queens Problem?
AN queens on an N×N board
BN queens on a 2N×2N board
CN/2 queens on an N×N board
DN queens on an N×(N-1) board
✗ Incorrect
The problem requires placing N queens on an N×N board.
What happens if a queen placement leads to no safe positions for the next queen?
AThe algorithm stops
BThe board size is increased
CThe queen is removed permanently
DThe algorithm backtracks to try a different position
✗ Incorrect
Backtracking means going back to try other options when stuck.
Which of these is NOT a constraint for queen placement in the N Queens Problem?
ANo two queens in the same color square
BNo two queens in the same column
CNo two queens in the same diagonal
DNo two queens in the same row
✗ Incorrect
The color of the square does not affect queen attacks.
Explain how backtracking helps solve the N Queens Problem step-by-step.
Think about trying positions and undoing moves when stuck.
You got /5 concepts.
Describe how to check if a queen's position is safe on the board.
Remember queens attack vertically and diagonally.
You got /4 concepts.
Practice
(1/5)
1. What is the main goal of the N Queens Problem?
easy
A. Place queens only on the diagonal cells of the board
B. Place N queens on an NxN chessboard so that no two queens attack each other
C. Count the total number of queens on the board
D. Find the shortest path for a queen to move across the board
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 B
Quick Check:
Goal = Place queens safely [OK]
Hint: Remember: no two queens can share row, column, or diagonal [OK]
Common Mistakes:
Thinking queens can share the same row or column
Confusing the problem with counting queens
Assuming queens only attack diagonally
2. Which of the following Java method signatures is correct for a recursive function solving the N Queens Problem?
easy
A. static int solveNQueens(int[][] board, int n, int row)
B. public void solveNQueens(int n, int row, int[][] board)
C. public static boolean solveNQueens(int row, int n, int[][] board)
D. boolean solveNQueens(int n, int[][] board, int row)
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 C
Quick Check:
Correct signature = public static boolean solveNQueens(int row, int n, int[][] board) [OK]
Hint: Recursive method returns boolean and takes current row first [OK]
Common Mistakes:
Wrong return type (e.g., void instead of boolean)
Incorrect parameter order
Missing static keyword if required
3. What will be the output of the following Java code snippet for N=4?
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;
}
}
medium
A. 2
B. 4
C. 1
D. 0
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 A
Quick Check:
Number of solutions for N=4 = 2 [OK]
Hint: Remember: 4 queens have exactly 2 solutions [OK]
Common Mistakes:
Assuming only 1 solution exists
Confusing number of solutions with board size
Ignoring backtracking resets
4. Identify the bug in this snippet of the N Queens solver:
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;
}
medium
A. It incorrectly checks columns beyond the board size
B. It does not check the left diagonal upwards
C. It does not check the current row for other queens
D. It misses checking the lower diagonals for threats
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 A
Quick Check:
Upper-right diagonal: j <= n causes out-of-bounds [OK]
Hint: Always verify loop bounds in diagonal checks to avoid index errors [OK]
Common Mistakes:
Forgetting off-by-one errors in diagonal loop conditions
Overlooking array bounds in upper-right diagonal traversal
Confusing upper vs lower diagonal checks
5. You want to modify the N Queens solver to print all distinct solutions for N=4. Which approach is best to achieve this?
hard
A. Stop recursion as soon as the first solution is found to save time
B. Place all queens in the first row and check if they attack each other
C. Use a greedy algorithm to place queens in the first available safe spot in each row
D. Modify the recursive function to store each valid board configuration in a list instead of returning after first success
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 D
Quick Check:
Store all solutions by continuing recursion [OK]
Hint: Keep searching after each solution to collect all boards [OK]
Common Mistakes:
Stopping recursion after first solution
Using greedy instead of backtracking
Placing multiple queens in one row
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