Common Linked List Patterns
Explore fundamental linked list patterns including fast and slow pointers and reversal techniques. Understand when and how to apply these patterns to solve common interview challenges such as cycle detection, finding the middle node, and palindrome checks, enhancing your ability to recognize problem signals and implement efficient solutions.
Fast and slow pointers and reversal patterns are the two techniques that cover the majority of linked list interview problems. We already know how these work. This lesson focuses on why they fit linked lists specifically, when to recognize that a problem uses one of them, and what traps to avoid under interview pressure.
Both patterns are possible because linked lists are traversed sequentially through pointer chains. There is no index arithmetic and no random access. Every technique that works on linked lists relies on controlling how and how fast we move through that chain.
Interview lens: The most valuable skill in a linked list interview is recognizing the pattern within the first minute of reading the problem. A candidate who immediately identifies a cycle detection problem as a fast and slow pointer problem signals strong pattern fluency.
Fast and slow pointers
The fast and slow pointer pattern places two pointers at the head of the list and moves them at different speeds. The slow pointer advances one node at a time. The fast pointer advances two nodes at a time. Because of this speed difference, the two pointers will eventually meet if there is a cycle, and the slow pointer will land at the midpoint when the fast pointer reaches the end.
This pattern works on linked lists precisely because they are sequential. The two-speed traversal exploits the structure of the pointer chain in a way that would be trivially solved with index arithmetic on an array. On a linked list, it is the elegant solution.
Time and space complexity
Time
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