Sort List | Merge Sort on Linked List | BruteForce to Optimised | Java Python C++

In this video, we'll solve the Sort List problem using the Merge Sort algorithm on a Linked List. Since linked lists do not support random access, algorithms like Quick Sort are not the best choice. Merge Sort is the optimal approach because it efficiently divides the list into halves using the Fast & Slow Pointer technique and merges the sorted lists back together. This problem is one of the most important Linked List interview questions and is frequently asked in product-based companies. What you'll learn: Why Merge Sort is the best algorithm for Linked Lists Finding the middle node using Fast & Slow Pointers Splitting a Linked List into two halves Merging two sorted linked lists Complete Java implementation Time and Space Complexity analysis Interview tips and common mistakes Pattern Covered: Linked List Merge Sort Fast & Slow Pointer Divide and Conquer Time Complexity: O(N log N) Space Complexity: O(log N) (Recursive Call Stack) This pattern is highly reusable and can help you solve many Linked List interview questions efficiently. Rising Brain (DSA Sheet): https://www.risingbrain.org/sheet Connect with me here: LinkedIn –   / anjalikumari22   Instagram –   / rbanjali.codes   Twitter (X) – https://x.com/anjali1kumari?s=21