Greedy Min/Max Range Tracking

The Greedy Min/Max Range Tracking technique is applied when tackling problems characterized by specific invariants in the problem state or constraints:

• Core Strategy: Track a running [lower, upper] bound of possible values while scanning, collapsing or rejecting when the range becomes invalid.
• When to use: Look for opportunities where repeated re-computation can be replaced by maintaining monotonic properties, state windows, or relational pointers.
• Interview Signal: Demonstrating this pattern shows mastery of Greedy foundations, reducing worst-case algorithmic complexity.