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Two Pointers vs Sliding Window

Quick Answer

Use Two Pointers when the data is sorted and you need to find pairs, compare elements at opposite ends, or partition the array. Use Sliding Window when you need to find a contiguous subarray or substring that satisfies some constraint (max sum, unique characters, etc.).

Side-by-Side Comparison

AspectTwo PointersSliding Window
Data typeArrays, strings, linked listsArrays, strings
Sort required?Often yes (for pair-finding)No
Window sizeNot applicable (pointers converge or diverge)Fixed or variable contiguous range
Pointer movementMove based on comparison (too big/small)Expand right, shrink left based on constraint
Time complexityO(n) or O(n log n) with sortO(n)
Space complexityO(1)O(1) to O(k) depending on tracking
Key signal"Sorted array", "find a pair", "compare two ends""Contiguous subarray", "substring with constraint"

When to Use Two Pointers

When to Use Sliding Window

Key Differences

Pointer relationship

In Two Pointers, pointers typically start at opposite ends and move toward each other (or one fast, one slow). In Sliding Window, both pointers move in the same direction — the right pointer expands the window and the left pointer contracts it.

What they track

Two Pointers compares individual elements at the pointer positions. Sliding Window maintains a running aggregate (sum, count, frequency map) of everything between the two pointers.

Sortedness

Two Pointers usually requires sorted input to guide pointer movement. Sliding Window works on unsorted data because it tracks the window's contents via a running state.

How to Decide

  1. Is the input sorted or should be sorted? Lean toward Two Pointers.
  2. Does the answer involve a contiguous subarray/substring? Lean toward Sliding Window.
  3. Are you comparing two specific elements? Two Pointers.
  4. Are you tracking an aggregate (sum, count, unique chars) over a range? Sliding Window.
  5. Does the problem mention "pair", "triplet", or "target sum"? Two Pointers (after sorting).
  6. Does the problem mention "maximum length", "minimum window", or "at most k"? Sliding Window.

Example Problems

Two Pointers

  • 1.3Sum — Sort the array, fix one element, and use two pointers on the remaining range to find triplets summing to zero.
  • 2.Container With Most Water — Two pointers at both ends, move the shorter side inward to maximize area.
  • 3.Valid Palindrome — Compare characters from both ends of the string, moving inward.

Sliding Window

  • 1.Maximum Sum Subarray of Size K — Fixed-size window: slide across the array, add the new element, remove the old one.
  • 2.Longest Substring Without Repeating Characters — Variable window: expand right, shrink left when a duplicate is found.
  • 3.Minimum Window Substring — Variable window: expand to include all target chars, shrink to find the smallest valid window.