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Advanced · Module 21 · Lesson 1 of 4

Linear Patterns: Two Pointers vs. Sliding Window vs. Prefix Sum + Hash Map

Disambiguate contiguous subarray and pair problems instantly: when non-negative elements unlock a O(1)-space Sliding Window, when negative numbers require Prefix Sum + Hash Map, and when range updates call for a Difference Array.

Pro — members onlyAbout 18 minutes

By the end you can

  • Distinguish Sliding Window from Prefix Sum + Hash Map based on whether the window metric is monotonic (non-negative weights)
  • Apply Fixed-Size and Variable-Size Sliding Window templates with an explicit validity invariant
  • Convert Q range-addition updates [L, R] += val from O(Q * N) into O(Q + N) using a 1D or 2D Difference Array

Builds on Two pointers, Sliding window, Prefix sums.

01 · A question first

Two subarray-sum problems look 99% identical: 'longest subarray with sum <= K' and 'number of subarrays with sum == K'. When the array contains negative numbers, Sliding Window completely breaks on both—yet Prefix Sum + Hash Map solves the second in O(N) time. How do you spot that trap in 10 seconds?

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

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