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Leetcode #2807: Insert Greatest Common Divisors in Linked List

In this guide, we solve Leetcode #2807 Insert Greatest Common Divisors in Linked List in Python and focus on the core idea that makes the solution efficient.

You will see the intuition, the step-by-step method, and a clean Python implementation you can use in interviews.

Leetcode

Problem Statement

Given the head of a linked list head, in which each node contains an integer value. Between every pair of adjacent nodes, insert a new node with a value equal to the greatest common divisor of them.

Quick Facts

  • Difficulty: Medium
  • Premium: No
  • Tags: Linked List, Math, Number Theory

Intuition

There is a mathematical invariant or formula that directly leads to the result.

Using math avoids unnecessary loops and reduces complexity.

Approach

Derive the formula or update rule, then compute the answer directly.

Handle edge cases like overflow or zero carefully.

Steps:

  • Identify the math relationship.
  • Compute the result with a loop or formula.
  • Handle edge cases.

Example

Input: head = [18,6,10,3] Output: [18,6,6,2,10,1,3] Explanation: The 1st diagram denotes the initial linked list and the 2nd diagram denotes the linked list after inserting the new nodes (nodes in blue are the inserted nodes). - We insert the greatest common divisor of 18 and 6 = 6 between the 1st and the 2nd nodes. - We insert the greatest common divisor of 6 and 10 = 2 between the 2nd and the 3rd nodes. - We insert the greatest common divisor of 10 and 3 = 1 between the 3rd and the 4th nodes. There are no more adjacent nodes, so we return the linked list.

Python Solution

# Definition for singly-linked list. # class ListNode: # def __init__(self, val=0, next=None): # self.val = val # self.next = next class Solution: def insertGreatestCommonDivisors( self, head: Optional[ListNode] ) -> Optional[ListNode]: pre, cur = head, head.next while cur: x = gcd(pre.val, cur.val) pre.next = ListNode(x, cur) pre, cur = cur, cur.next return head

Complexity

The time complexity is O(n×log⁡M)O(n \times \log M)O(n×logM), where nnn is the length of the linked list, and MMM is the maximum value of the nodes in the linked list. The space complexity is O(1)O(1)O(1).

Edge Cases and Pitfalls

Watch for boundary values, empty inputs, and duplicate values where applicable. If the problem involves ordering or constraints, confirm the invariant is preserved at every step.

Summary

This Python solution focuses on the essential structure of the problem and keeps the implementation interview-friendly while meeting the constraints.


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