two-pointers
Solve pair-sum, sliding window, and cycle detection problems with two pointers. Use when reducing O(n²) nested loops to O(n) on sorted or sequential data.
What this skill does
## When to use Two pointers on a sorted array: start left=0, right=n-1, move inward based on comparison. ## Rules - Solves pair-sum, three-sum, container problems in O(n) - Sliding window: expand right boundary, shrink left when constraint violated - Solves "longest/shortest substring with property" in O(n) - Fast/slow pointers: detect cycles in linked lists (Floyd's), find middle element - If brute force is O(n^2) nested loops over a sorted or sequential structure, two pointers likely reduces it to O(n) - ALWAYS prefer two pointers over nested loops when data is sorted - NEVER use nested loops when two pointers would work ## Complexity Two pointers: O(n). Sliding window: O(n). Fast/slow: O(n). ## Example "Two sum on sorted" → `left=0, right=n-1`; if `arr[left]+arr[right] < target`: left++, else right--. "Longest substring without repeats" → expand right, shrink left when duplicate found.
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