Beginner Topic 16 of 51 Algorithms
Two Pointers
Technique moving two indices through data to cut nested loops.
How it works
The two-pointers technique keeps two indexes moving through a sequence, often from both ends toward the middle or both forward at different speeds, to examine pairs or ranges in a single pass. On sorted data, moving the left or right pointer based on a comparison discards impossible candidates, turning an O(n squared) pair search into O(n).
Where it is used
Finding a pair with a given sum in a sorted array, removing duplicates in place, checking palindromes, merging two sorted lists, partitioning arrays and detecting cycles with slow and fast pointers use two pointers.
Common pitfall
It generally requires sorted or structured data, so sort first when the order is free. Moving the wrong pointer or failing to handle equal elements skips answers. Pay attention to termination conditions and off-by-one errors, and prove why each pointer move is safe.
Where it fits in the course
Two Pointers is topic 16 of 51 in Algorithms, rated Beginner. It follows Brute Force. The next topic is Sliding Window.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Algorithms quiz.
- Explore the Linear vs Binary Search visualizer: See how halving beats scanning.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Algorithms quiz, and revisit the topic if you miss a question.
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Related topics
- Brute Force (Algorithms)
- Sliding Window (Algorithms)
- Radix Sort (Algorithms)
- Heap Sort (Algorithms)
- Pointers (Languages & Compilers)