**LeetCode Problem | LeetCode Problems For Beginners | LeetCode Problems & Solutions | Improve Problem Solving Skills | LeetCode Problems Java | LeetCode Solutions in C++**

Hello **Programmers/Coders,** Today we are going to share ** solutions to the Programming problems of LeetCode Solutions in C++, Java, & Python**. At Each Problem with Successful submission with

**all Test Cases Passed,**you will get a score or marks and LeetCode Coins. And after solving maximum problems, you will be getting stars. This will highlight your profile to the recruiters.

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.

Use “Ctrl+F” To Find Any Questions Answer. & For Mobile User, You Just Need To Click On Three dots In Your Browser & You Will Get A “Find” Option There. Use These Option to Get Any Random Questions Answer.

**About LeetCode**

*LeetCode* is one of the most well-known online judge platforms to help you enhance your skills, expand your knowledge and prepare for technical interviews.

LeetCode is for **software engineers who are looking to practice technical questions and advance their skills**. Mastering the questions in each level on LeetCode is a good way to prepare for technical interviews and keep your skills sharp. They also have a repository of solutions with the reasoning behind each step.

LeetCode has over 1,900 questions for you to practice, covering many different programming concepts. Every coding problem has a classification of either *Easy*, *Medium*, or *Hard*.

**LeetCode problems focus on algorithms and data structures. Here is some topic you can find problems on LeetCode:**

- Mathematics/Basic Logical Based Questions
- Arrays
- Strings
- Hash Table
- Dynamic Programming
- Stack & Queue
- Trees & Graphs
- Greedy Algorithms
- Breadth-First Search
- Depth-First Search
- Sorting & Searching
- BST (Binary Search Tree)
- Database
- Linked List
- Recursion, etc.

Leetcode has a huge number of test cases and questions from interviews too like Google, Amazon, Microsoft, Facebook, Adobe, Oracle, Linkedin, Goldman Sachs, etc. LeetCode helps you in getting a job in Top MNCs. To crack FAANG Companies, LeetCode problems can help you in building your logic.

** 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.

**Example 1:**

Input:head = [4,2,1,3]Output:[1,2,3,4]

**Example 2:**

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