The brute force approach is a straightforward problem-solving technique that tries all possible solutions to find the correct one. It does not use any optimization or shortcuts, relying instead on exhaustive search. This method is commonly used when no better algorithm is available or when the problem size is small.
Advantages:
Simplicity: Brute force is easy to understand and implement, making it a good starting point for problem-solving.
Guaranteed Solution: Since it explores all possibilities, it ensures a solution is found if one exists.
Applicable to Many Problems: It can be applied to a wide range of problems without requiring specific techniques or insights.
Disadvantages:
Inefficiency: It is often slow and computationally expensive, especially for large input sizes, due to the sheer number of possibilities it explores.
Resource Intensive: High time and space complexity can make it impractical for large or complex problems.
Not Scalable: The approach becomes infeasible as the problem size grows, making it unsuitable for real-time or large-scale applications.
Brute force is best used for small-scale problems or as a baseline to compare with more advanced algorithms.