What are some examples of backtracking in Python?
Backtracking is a problem-solving technique that involves exploring all possible solutions and abandoning those that fail to satisfy the constraints. A classic example in Python is solving the N-Queens problem.
Can you show me the code for the N-Queens problem?
Sure! Here's a simple implementation of the N-Queens problem using backtracking in Python:
def solve_n_queens(n):
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, n, 1), range(col, -1, -1)):
if board[i][j] == 1:
return False
return True
def solve(board, col):
if col >= n:
return True
for i in range(n):
if is_safe(board, i, col):
board[i][col] = 1
if solve(board, col + 1):
return True
board[i][col] = 0
return False
board = [[0] * n for _ in range(n)]
if not solve(board, 0):
return []
return board
# Example usage:
print(solve_n_queens(4))
What other problems can be solved using backtracking?
Other problems that can be solved using backtracking include the Sudoku solver, the Hamiltonian path problem, and generating permutations or combinations of a set.
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