Last updated on January 29th, 2025 at 02:31 am
Here, we see an Intersection of Two Linked Lists LeetCode Solution. This Leetcode problem is solved using different approaches in many programming languages, such as C++, Java, JavaScript, Python, etc.
List of all LeetCode Solution
Topics
Linked List
Companies
Airbnb, Amazon, Bloomberg, Microsoft
Level of Question
Easy
Intersection of Two Linked Lists LeetCode Solution
Table of Contents
1. Problem Statement
Given the heads of two singly linked-lists headA and headB, return the node at which the two lists intersect. If the two linked lists have no intersection at all, return null.
For example, the following two linked lists begin to intersect at node c1:
The test cases are generated such that there are no cycles anywhere in the entire linked structure.
Note that the linked lists must retain their original structure after the function returns.
Custom Judge:
The inputs to the judge are given as follows (your program is not given these inputs):
- intersectVal – The value of the node where the intersection occurs. This is 0 if there is no intersected node.
- listA – The first linked list.
- listB – The second linked list.
- skipA – The number of nodes to skip ahead in listA (starting from the head) to get to the intersected node.
- skipB – The number of nodes to skip ahead in listB (starting from the head) to get to the intersected node.
The judge will then create the linked structure based on these inputs and pass the two heads, headA and headB to your program. If you correctly return the intersected node, then your solution will be accepted.
Example 1: (fig-1) Input: intersectVal = 8, listA = [4,1,8,4,5], listB = [5,6,1,8,4,5], skipA = 2, skipB = 3 Output: Intersected at '8' Explanation: The intersected node's value is 8 (note that this must not be 0 if the two lists intersect). From the head of A, it reads as [4,1,8,4,5]. From the head of B, it reads as [5,6,1,8,4,5]. There are 2 nodes before the intersected node in A; There are 3 nodes before the intersected node in B. - Note that the intersected node's value is not 1 because the nodes with value 1 in A and B (2nd node in A and 3rd node in B) are different node references. In other words, they point to two different locations in memory, while the nodes with value 8 in A and B (3rd node in A and 4th node in B) point to the same location in memory.
Example 2: (fig-2) Input: intersectVal = 2, listA = [1,9,1,2,4], listB = [3,2,4], skipA = 3, skipB = 1 Output: Intersected at '2' Explanation: The intersected node's value is 2 (note that this must not be 0 if the two lists intersect). From the head of A, it reads as [1,9,1,2,4]. From the head of B, it reads as [3,2,4]. There are 3 nodes before the intersected node in A; There are 1 node before the intersected node in B.
Example 3: (fig-3)
Input: intersectVal = 0, listA = [2,6,4], listB = [1,5], skipA = 3, skipB = 2
Output: No intersection
Explanation: From the head of A, it reads as [2,6,4]. From the head of B, it reads as [1,5]. Since the two lists do not intersect, intersectVal must be 0, while skipA and skipB can be arbitrary values.
Explanation: The two lists do not intersect, so return null.
2. Coding Pattern Used in Solution
The coding pattern used in the provided code is “Two Pointers”. This pattern involves using two pointers to traverse the input data structure(s) in a way that allows solving the problem efficiently. In this case, the two pointers traverse the two linked lists to find the intersection node.
3. Code Implementation in Different Languages
3.1 Intersection of Two Linked Lists C++
class Solution { public: ListNode *getIntersectionNode(ListNode *headA, ListNode *headB) { ListNode *ptr1 = headA; ListNode *ptr2 = headB; while(ptr1 != ptr2){ if(ptr1 == NULL){ ptr1 = headB; } else{ ptr1 = ptr1 -> next; } if(ptr2 == NULL){ ptr2 = headA; } else{ ptr2 = ptr2 -> next; } } return ptr1; } };
3.2 Intersection of Two Linked Lists Java
public class Solution { public ListNode getIntersectionNode(ListNode headA, ListNode headB) { ListNode a = headA, b = headB; while (a != b) { a = a == null ? headB : a.next; b = b == null ? headA : b.next; } return a; } }
3.3 Intersection of Two Linked Lists JavaScript
var getIntersectionNode = function(headA, headB) { if (!headA || !headB) { return null; } let curA = headA; let curB = headB; while (curA !== curB) { if (curA.next) { curA = curA.next; } else { if (!curB.next) { curA = null; curB = null; break; } curA = headB; } if (curB.next) { curB = curB.next } else { curB = headA; } } return curB; };
3.4 Intersection of Two Linked Lists Python
class Solution(object): def getIntersectionNode(self, headA, headB): curA,curB = headA,headB lenA,lenB = 0,0 while curA is not None: lenA += 1 curA = curA.next while curB is not None: lenB += 1 curB = curB.next curA,curB = headA,headB if lenA > lenB: for i in range(lenA-lenB): curA = curA.next elif lenB > lenA: for i in range(lenB-lenA): curB = curB.next while curB != curA: curB = curB.next curA = curA.next return curA
4. Time and Space Complexity
Time Complexity | Space Complexity | |
C++ | O(m + n) | O(1) |
Java | O(m + n) | O(1) |
JavaScript | O(m + n) | O(1) |
Python | O(m + n) | O(1) |