Advanced · Module 21 · Lesson 2 of 4
Order & Stack Patterns: Binary Search on Answer, Monotonic Stack/Queue, and Sweep-Line
Recognize 'minimize the maximum' clues for Binary Search on Answer, find Next Greater Elements and Sliding Window Maximums in O(N) with Monotonic Stacks/Deques, and count overlapping intervals with Sweep-Line events.
By the end you can
- Recognize the 'minimize the maximum / maximize the minimum' clue and verify the monotonic feasibility predicate check(X) for Binary Search on the Answer
- Maintain a strictly monotonic stack (Next Greater/Smaller Element) and monotonic deque (Sliding Window Max/Min) in amortized O(N) time
- Solve interval merging, meeting rooms, and skyline overlap problems using sorting + Sweep-Line event points
Builds on Searching an answer space, Deques and monotonic stacks, Intervals and sweeping.
01 · A question first
When a problem asks 'What is the minimum ship capacity to deliver all packages in D days?' on an unsorted array, beginners try DP and time out at O(N^2). How do you spot in 5 seconds that the answer space itself is sorted `[False, False, ..., True, True]`?
Make a guess before you read on.
02 · The idea
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What's inside
- Intuitive Explanation & Real-World Analogy
- Core Concepts & Visual Walkthrough
- Pseudocode
- Multi-Language Implementations (C++, Java, Python)
- Time & Auxiliary Space Complexity Derivation
- Edge Cases & Common Beginner Mistakes
- Alternative Approaches (Brute Force vs. Optimal)
- Pattern Recognition Guide & Three-Stage Practice Plan
03 · Practice
Asked in interviews
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