N Queens Problem in DSA Javascript - Time & Space Complexity

Time Complexity: N Queens Problem

O(N!)

Understanding Time Complexity

We want to understand how the time needed to solve the N Queens problem grows as we increase the board size.

Specifically, how does the number of steps change when we try to place queens on larger chessboards?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

function solveNQueens(board, row) {
  if (row === board.length) return true;
  for (let col = 0; col < board.length; col++) {
    if (isSafe(board, row, col)) {
      board[row][col] = 'Q';
      if (solveNQueens(board, row + 1)) return true;
      board[row][col] = '.'; // backtrack
    }
  }
  return false;
}
    

This code tries to place queens row by row, checking safe positions and backtracking if needed.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: The for-loop tries all columns in a row, and recursion explores all rows.
• How many times: Up to N columns per row, repeated for each of the N rows, with backtracking exploring many combinations.

How Execution Grows With Input

As the board size (n) grows, the number of ways to place queens grows very fast because we try many column choices for each row and backtrack often.

Input Size (n)	Approx. Operations
4	Few hundred tries
8	Thousands of tries
12	Millions of tries

Pattern observation: The operations grow very quickly, much faster than just doubling or squaring.

Final Time Complexity

Time Complexity: O(N!)

This means the time needed grows roughly like the factorial of the board size, which is very fast growth.

Common Mistake

[X] Wrong: "The time grows like N squared because we have two loops."

[OK] Correct: The recursion and backtracking cause many more combinations to check, making the growth much faster than just two loops.

Interview Connect

Understanding this problem's time complexity helps you explain how backtracking explores many possibilities and why some problems become very slow as input grows.

Self-Check

"What if we used a heuristic to skip some columns early? How would that affect the time complexity?"

Practice

1. What is the main goal of the N Queens Problem in chess?

easy

A. Place N queens on an NxN board so no two queens attack each other

B. Place N queens on an NxN board so all queens attack each other

C. Place N queens on an NxN board in the same row

D. Place N queens on an NxN board in the same column

Solution

1. Step 1: Understand the problem objective

   The N Queens Problem requires placing queens so that none can attack another. Queens attack horizontally, vertically, and diagonally.

2. Step 2: Analyze the options

   Only Place N queens on an NxN board so no two queens attack each other correctly states the goal: no two queens attack each other on an NxN board.

3. Final Answer:

   Place N queens on an NxN board so no two queens attack each other -> Option A

4. Quick Check:

   Goal = safe queen placement [OK]

Hint: Remember: queens must not threaten each other [OK]

Common Mistakes:

• Thinking queens can share rows or columns
• Ignoring diagonal attacks
• Confusing attack with placement

2. Which of the following JavaScript function signatures is correct for solving the N Queens Problem recursively?

easy

A. function solveNQueens(board, row) {}

B. function solveNQueens(board, col) {}

C. function solveNQueens(row, col) {}

D. function solveNQueens(board) {}

Solution

1. Step 1: Understand recursive approach parameters

   Typically, the recursive function takes the board state and the current row to place a queen.

2. Step 2: Check options for correct parameters

   function solveNQueens(board, row) {} uses board and row, which fits the common recursive pattern.

3. Final Answer:

   function solveNQueens(board, row) {} -> Option A

4. Quick Check:

   Recursive function = board + current row [OK]

Hint: Pass board and current row for recursion [OK]

Common Mistakes:

• Using column instead of row for recursion
• Missing board parameter
• Using only one parameter

3. What will be the output of the following code snippet for n = 4?

function isSafe(board, row, col) {
  for (let i = 0; i < row; i++) {
    if (board[i] === col || Math.abs(board[i] - col) === row - i) return false;
  }
  return true;
}

function solveNQueens(n) {
  const board = Array(n).fill(-1);
  const results = [];
  function backtrack(row) {
    if (row === n) {
      results.push(board.slice());
      return;
    }
    for (let col = 0; col < n; col++) {
      if (isSafe(board, row, col)) {
        board[row] = col;
        backtrack(row + 1);
        board[row] = -1;
      }
    }
  }
  backtrack(0);
  return results.length;
}

console.log(solveNQueens(4));

medium

A. 1

B. 4

C. 0

D. 2

Solution

1. Step 1: Understand the code logic

   The code uses backtracking to find all valid placements of 4 queens on a 4x4 board. It counts solutions by pushing valid boards to results.

2. Step 2: Recall known N Queens results

   For n=4, the number of valid solutions is 2, which matches the returned results length.

3. Final Answer:

   2 -> Option D

4. Quick Check:

   4 Queens solutions = 2 [OK]

Hint: Remember 4 queens have exactly 2 solutions [OK]

Common Mistakes:

• Assuming 4 queens have more than 2 solutions
• Confusing board representation with count
• Misreading the backtracking logic

4. Identify the bug in this code snippet for checking if a queen placement is safe:

function isSafe(board, row, col) {
  for (let i = 0; i < row; i++) {
    if (board[i] === col || Math.abs(board[i] - col) === row + i) return false;
  }
  return true;
}

medium

A. The function should return true inside the loop

B. The loop should run until 'i <= row' instead of 'i < row'

C. The diagonal check uses 'row + i' instead of 'row - i'

D. The equality check for columns is incorrect

Solution

1. Step 1: Analyze the diagonal attack condition

   The diagonal attack is checked by comparing absolute difference of columns to difference of rows. It should be row - i, not row + i.

2. Step 2: Identify the incorrect expression

   The code uses row + i, which is wrong and causes incorrect safety checks.

3. Final Answer:

   The diagonal check uses 'row + i' instead of 'row - i' -> Option C

4. Quick Check:

   Diagonal check = row - i [OK]

Hint: Diagonal difference = current row minus previous row [OK]

Common Mistakes:

• Using addition instead of subtraction for diagonal check
• Looping one extra iteration
• Returning true too early

5. Given a 5x5 board, how many distinct solutions does the N Queens Problem have, and what is the main reason for this number compared to smaller boards?

hard

A. 5 solutions because each queen must be in a unique row and column

B. 10 solutions because more rows allow more queen placements without conflict

C. 0 solutions because 5x5 boards cannot place 5 queens safely

D. 1 solution because only one arrangement avoids attacks on 5x5

Solution

1. Step 1: Recall known solution counts for N Queens

   For n=5, the known number of distinct solutions is 10.

2. Step 2: Understand why solution count increases

   With larger boards, more safe placements exist because queens can be spread out more easily without attacking each other.

3. Final Answer:

   10 solutions because more rows allow more queen placements without conflict -> Option B

4. Quick Check:

   5 Queens solutions = 10 [OK]

Hint: More board size means more safe queen arrangements [OK]

Common Mistakes:

• Assuming no solutions for 5x5
• Confusing unique rows with total solutions
• Underestimating solution count