Determining the maximum water a container can hold between vertical lines is foundational in graphics rendering, fluid simulations, and two-pointer optimizations. The “Container With Most Water” problem challenges you to squeeze the best area in O(n) time.

Scheduling tasks under cooling constraints is a common challenge in operating systems, rate-limited APIs, and real-time pipelines. The “Task Scheduler with Cooling Interval” problem exercises frequency counting, greedy scheduling, and heap-based prioritization to minimize idle time.