How Does a Backtracking Algorithm Work?
A backtracking algorithm works by recursively exploring all possible solutions to a problem. It starts by choosing an initial solution, and then it explores all possible extensions of that solution. If an extension leads to a solution, the algorithm returns that solution. If an extension does not lead to a solution, the algorithm backtracks to the previous solution and tries a different extension.
The following is a general outline of how a backtracking algorithm works:
- Choose an initial solution.
- Explore all possible extensions of the current solution.
- If an extension leads to a solution, return that solution.
- If an extension does not lead to a solution, backtrack to the previous solution and try a different extension.
- Repeat steps 2-4 until all possible solutions have been explored.
Backtracking Algorithm
Backtracking algorithms are like problem-solving strategies that help explore different options to find the best solution. They work by trying out different paths and if one doesn’t work, they backtrack and try another until they find the right one. It’s like solving a puzzle by testing different pieces until they fit together perfectly.
Table of Content
- What is Backtracking Algorithm?
- How Does a Backtracking Algorithm Work?
- Example of Backtracking Algorithm
- When to Use a Backtracking Algorithm?
- Applications of Backtracking Algorithm
- Basic of Backtracking Algorithm
- Standard Problems on Backtracking Algorithm
- Easy Problems on Backtracking Algorithm
- Medium Problems on Backtracking Algorithm
- Hard Problems on Backtracking Algorithm
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