Shadab Ali

Jul 01, 2025 • 1 min read

Don't Miss Linked List Problems on LeetCode

Today, I dived deep into several core Linked List problems on LeetCode — building hands-on understanding and strengthening my data structures foundation. Below is a summary of the problems I solved,

1. Add Two Numbers

Problem: Given two non-empty linked lists representing two non-negative integers in reverse order, add the two numbers and return the sum as a linked list.

My Approach:

  • Used a dummy node for simplified handling.

  • Handled different lengths of input lists.

  • Managed carry efficiently through each iteration.

Key Takeaway: Using a dummy node with a carry variable simplifies linked list math problems and avoids edge-case headaches.


2. Merge Two Sorted Lists

Problem: Merge two sorted linked lists into one sorted list.

My Approach:

  • Compared nodes from both lists one by one.

  • Initially created new nodes for the merged list.

  • Later optimized the solution to reuse existing nodes instead of creating new ones — reducing memory usage.

Key Takeaway: Always check if you can solve linked list problems in-place by manipulating pointers instead of allocating memory.


3. Rotate Linked List

Problem: Rotate a linked list to the right by k places.

Initial Approach:

  • Reversed list, extracted nodes, and re-reversed — which worked but was overly complex.

Optimized Approach:

  • Converted the list to a circular list.

  • Found the new head by stepping len - k steps.

  • Broke the loop to form the rotated list.

Key Takeaway: For rotation-based problems, a circular pointer technique offers a clean and efficient in-place solution.


4. Swap Nodes in Pairs

Problem: Given a linked list, swap every two adjacent nodes and return its head.

My Approach:

  • Initially created new nodes to simulate swapping.

  • Optimized version used in-place swapping with pointer manipulation.

Key Takeaway: Most swapping problems can be solved with 3-pointer manipulation using a dummy node, keeping the space complexity O(1).


Lessons Learned

  • Dummy nodes make code cleaner and easier to debug.

  • Aim for in-place solutions unless the problem explicitly asks for deep copies.

  • Practice and code review help in identifying inefficiencies early.

  • Solving variations of the same data structure type helps deepen understanding.


What's Next?

Planning to take this further with:

  • Reversing nodes in k-groups

  • Detecting and removing cycles

  • Flattening multilevel linked lists

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