Always identify the "Brute Force" solution first. Even if it’s inefficient, it guarantees a baseline for correctness and helps you see where the bottlenecks are.
Dealing with "Top K" elements or frequently updated minimums/maximums. 3. The "Rubber Duck" Debugging Technique Problem Solving in Data Structures & Algorithms...
If you get stuck, explain the logic out loud to an inanimate object (or yourself). Translating abstract thoughts into spoken words often exposes the "logic gap" that your brain was subconsciously skipping over. 4. Implementation & Edge Cases Always identify the "Brute Force" solution first
Most DSA problems are variations of a few core patterns. If you recognize the pattern, the solution follows: When to Use It then make it fast
Get it working first, then make it fast, then make it clean.