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Sorting a Linked List Using Divide-and-Conquer To sort a singly linked list efficiently, we can apply the merge sort algorithm which ensures O(n log n) time complexity. There are two primary approaches: top-down (recursive) and bottom-up (iterative). Below is an implementation of the recursive variant. class Solution { public ListNode sortL ...

148. Sort List Problem Statement Given the head of a linked list, sort the list in ascending order and return the sorted list. Approach For this problem, we can implement a merge sort algorithm with O(1) space complexity by using a bottom-up approach. The key steps involve: Determining the length of the linked list Splitting the list into subl ...

Algorithm Overview Split: Use slow-fast pointer technique to locate the midpoint and partition the list into two halves. Recurse: Apply the same sorting procedure recursively on both halves. Merge: Combine the two sorted sublists into a single sorted list using a linear-time merge step. Implementation class ListNode { int value; ListN ...

Problem Specification Given a sequence of n integers, compute the total number of inversions contained within the array. An inversion is formally defined as a pair of indices (i, j) satisfying i < j and A[i] > A[j]. Constraints & Limits Sequence length: 1 ≤ n ≤ 10⁵ Element values: 0 ≤ A[i] ≤ 10<sup>9</ ...