Problem solving is the art of recognizing a known algorithmic pattern within a novel, complex requirement. It is what separates the coder from the engineer.
Here, we focus on the competitive programming mindset—recognizing when to use Two Pointers, when a Sliding Window is optimal, and how to break down hard LeetCode problems into solvable sub-components.
The Toolkit
- Two Pointers & Sliding Window: Mastering linear efficiency.
- Binary Search: Solving for the answer in a monotonic space.
- Backtracking: Exploring the state space tree with surgical precision.
- Greedy & DP: Making optimal choices, one step at a time.