Backtracking
Backtracking is a general algorithmic technique that considers searching every possible combination in order to solve a computational problem. It is often used for solving constraint satisfaction problems, such as puzzles, combinatorial problems, and optimization problems.
Permutations
The problem of generating all permutations of a given list of distinct integers can be solved using backtracking. The idea is to build the permutations incrementally and explore each possibility recursively.
Here is a Python implementation of the permutations problem using backtracking:
N-Queens Problem
The N-Queens problem is a classic problem in which the goal is to place N queens on an N x N chessboard such that no two queens threaten each other. This means that no two queens can be in the same row, column, or diagonal.
Here is a Python implementation of the N-Queens problem using backtracking:
