Given two Linked Lists, create union and intersection lists that contain union and intersection of the elements present in the given lists. Order of elements in output lists doesn’t matter.
Input: List1: 10 -> 15 -> 4 -> 20 list2: 8 -> 4 -> 2 -> 10 Output: Intersection List: 4 -> 10 Union List: 2 -> 8 -> 20 -> 4 -> 15 -> 10
We have already discussed Method-1 and Method-2 of this question.
In this post, its Method-3 (Using Hashing) is discussed with a Time Complexity of O(m+n) i.e. better than both methods discussed earlier.
Implementation: 1- Start traversing both the lists. a) Store the current element of both lists with its occurrence in the map. 2- For Union: Store all the elements of the map in the resultant list. 3- For Intersection: Store all the elements only with an occurrence of 2 as 2 denotes that they are present in both the lists.
Below is the C++ implementation of the above steps.
First list is 5 4 3 2 1 Second list is 6 5 3 1 Intersection list is 3 5 1 Union list is 3 4 6 5 2 1
We can also handle the case of duplicates by maintaining separate Hash for both the lists.
- Time Complexity: O(m+n).
Here ‘m’ and ‘n’ are number of elements present in first and second lists respectively.
For Union: Traverse both the lists, store the elements in Hash-map and update the respective count.
For Intersection: Check if count of an element in hash-map is ‘2’.
- Auxiliary Space: O(m+n).
Use of Hash-map data structure for storing values.
This article is contributed by Sahil Chhabra. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to firstname.lastname@example.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.
Don’t stop now and take your learning to the next level. Learn all the important concepts of Data Structures and Algorithms with the help of the most trusted course: DSA Self Paced. Become industry ready at a student-friendly price.
- Union and Intersection of two Linked Lists
- Union and Intersection of two linked lists | Set-2 (Using Merge Sort)
- Intersection of two Sorted Linked Lists
- Write a function to get the intersection point of two Linked Lists
- Write a function to get the intersection point of two Linked Lists | Set 2
- Find intersection point of two Linked Lists without finding the length
- Find Union and Intersection of two unsorted arrays
- Construct a Maximum Sum Linked List out of two Sorted Linked Lists having some Common nodes
- Create a linked list from two linked lists by choosing max element at each position
- VMware Interview Experience | Set3 (On-Campus for Full Time and Internship Offers)
- Identical Linked Lists
- Merge K sorted linked lists | Set 1
- Add Two Numbers Represented by Linked Lists | Set 3
- Add two numbers represented by linked lists | Set 2
- Check if two Linked Lists are permutations of each other
- Add two numbers represented by linked lists | Set 1
- First common element in two linked lists
- Merge Sort for Linked Lists
- Merge two sorted linked lists
- Compare two strings represented as linked lists