Brute Force

Brute force is a problem-solving technique in computer science and mathematics that involves systematically enumerating all possible candidates for a solution and checking each one to find the correct answer. It is a straightforward, exhaustive approach that guarantees a solution if one exists, but it can be computationally expensive and inefficient for large problem spaces. This method is often used as a baseline for comparison with more optimized algorithms.

Also known as: Exhaustive Search, Brute-Force Attack, Brute Force Algorithm, BF, Brute-Force Method

Why learn Brute Force?

Developers should learn brute force methods to understand fundamental algorithm design, as they provide a simple and guaranteed way to solve problems, especially when the input size is small or when verifying solutions for other algorithms. It is commonly applied in scenarios like password cracking, combinatorial problems (e.g., generating all permutations), and debugging to test edge cases. However, it should be avoided for large-scale applications due to its high time and resource complexity.

Learning Resources

• docs: GeeksforGeeks: Brute Force Approach
• tutorial: Khan Academy: Brute Force Algorithms
• course: Coursera: Algorithmic Toolbox
• video: YouTube: Brute Force Explained
• book: Book: Introduction to Algorithms by Cormen et al.