Can you explain the N-Queens algorithm with a code example?
Sure! The N-Queens problem is a classic algorithmic problem that involves placing N queens on an N×N chessboard so that no two queens threaten each other. Here's a simple backtracking solution in Python:
def is_safe(board, row, col):
for i in range(col):
if board[row][i] == 1:
return False
for i, j in zip(range(row, -1, -1), range(col, -1, -1)):
if board[i][j] == 1:
return False
for i, j in zip(range(row, len(board)), range(col, -1, -1)):
if board[i][j] == 1:
return False
return True
def solve_n_queens_util(board, col):
if col >= len(board):
return True
for i in range(len(board)):
if is_safe(board, i, col):
board[i][col] = 1
if solve_n_queens_util(board, col + 1):
return True
board[i][col] = 0
return False
def solve_n_queens(n):
board = [[0] * n for _ in range(n)]
if not solve_n_queens_util(board, 0):
return "No solution exists"
return board
# Example usage:
print(solve_n_queens(4))
What does the code do step by step?
The code defines a function to solve the N-Queens problem using backtracking. Here's a step-by-step breakdown:
Can you show me the output for N=4?
Certainly! For N=4, the output of the solve_n_queens(4)
function will be a 4x4 board configuration where the queens are placed safely. The output will look like this:
[[0, 1, 0, 0],
[0, 0, 0, 1],
[1, 0, 0, 0],
[0, 0, 1, 0]]
In this representation, '1' indicates a queen's position, and '0' indicates an empty space.
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