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In this post, you will find the solution for the Insertion Sort List in C++, Java & Python-LeetCode problem. We are providing the correct and tested solutions to coding problems present on LeetCode. If you are not able to solve any problem, then you can take help from our Blog/website.
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Link for the Problem – Insertion Sort List– LeetCode Problem
Insertion Sort List– LeetCode Problem
Problem:
Given the head
of a singly linked list, sort the list using insertion sort, and return the sorted list’s head.
The steps of the insertion sort algorithm:
- Insertion sort iterates, consuming one input element each repetition and growing a sorted output list.
- At each iteration, insertion sort removes one element from the input data, finds the location it belongs within the sorted list and inserts it there.
- It repeats until no input elements remain.
The following is a graphical example of the insertion sort algorithm. The partially sorted list (black) initially contains only the first element in the list. One element (red) is removed from the input data and inserted in-place into the sorted list with each iteration.
![Insertion Sort List LeetCode Programming Solutions | LeetCode Problem Solutions in C++, Java, & Python [💯Correct] 2 Insertion sort example](https://upload.wikimedia.org/wikipedia/commons/0/0f/Insertion-sort-example-300px.gif)
Example 1:
![Insertion Sort List LeetCode Programming Solutions | LeetCode Problem Solutions in C++, Java, & Python [💯Correct] 3 sort1linked list](https://assets.leetcode.com/uploads/2021/03/04/sort1linked-list.jpg)
Input: head = [4,2,1,3] Output: [1,2,3,4]
Example 2:
![Insertion Sort List LeetCode Programming Solutions | LeetCode Problem Solutions in C++, Java, & Python [💯Correct] 4 sort2linked list](https://assets.leetcode.com/uploads/2021/03/04/sort2linked-list.jpg)
Input: head = [-1,5,3,4,0] Output: [-1,0,3,4,5]
Constraints:
- The number of nodes in the list is in the range
[1, 5000]
. -5000 <= Node.val <= 5000
Insertion Sort List– LeetCode Solutions
Insertion Sort List Solution in C++:
class Solution { public: ListNode* insertionSortList(ListNode* head) { ListNode dummy(0); ListNode* prev = &dummy; // the last (largest) of the sorted list while (head) { // current inserting node ListNode* next = head->next; // cache next inserting node if (prev->val >= head->val) // `prev` >= current inserting node prev = &dummy; // move `prev` to the front while (prev->next && prev->next->val < head->val) prev = prev->next; head->next = prev->next; prev->next = head; head = next; // update current inserting node } return dummy.next; } };
Insertion Sort List Solution in Java:
class Solution { public ListNode insertionSortList(ListNode head) { ListNode dummy = new ListNode(0); ListNode prev = dummy; // the last (largest) of the sorted list while (head != null) { // current inserting node ListNode next = head.next; // cache next inserting node if (prev.val >= head.val) // `prev` >= current inserting node prev = dummy; // move `prev` to the front while (prev.next != null && prev.next.val < head.val) prev = prev.next; head.next = prev.next; prev.next = head; head = next; // update current inserting node } return dummy.next; } }
Insertion Sort List Solution in Python:
class Solution: def insertionSortList(self, head: ListNode) -> ListNode: dummy = ListNode(0) curr = head while curr: prev = dummy while prev.next and prev.next.val < curr.val: prev = prev.next next = curr.next curr.next = prev.next prev.next = curr curr = next return dummy.next