QuickSort on Doubly Linked List Last Updated : 23 Jul, 2025 Comments Improve Suggest changes Like Article Like Report Try it on GfG Practice Given a doubly linked list, the task is to sort the doubly linked list in non-decreasing order using the quicksort.Examples:Input: head: 5<->3<->4<->1<->2Output: 1<->2<->3<->4<->5Explanation: Doubly Linked List after sorting using quicksort technique is 1<->2<->3<->4<->5Input: head: 1<->5<->2<->3Output: 1<->2<->3<->5Explanation: Doubly Linked List after sorting using quicksort technique is 1<->2<->3<->5Approach:The quicksort algorithm for a doubly linked list sorts the list by selecting a pivot node and partitioning the list into two segments, nodes less than the pivot and nodes greater than or equal to the pivot. The pivot is placed in its correct position, and then the algorithm recursively sorts the segments on either side of the pivot. This partitioning and recursive sorting continue until the entire list is sorted. The process efficiently handles the doubly linked list by adjusting pointers to maintain the list structure throughout the sorting operation.Below is the implementation of the above approach: C++ // C++ program to sort a doubly linked list // using quicksort #include <iostream> using namespace std; class Node { public: int data; Node* next; Node* prev; Node(int x) { data = x; next = nullptr; prev = nullptr; } }; // Function to swap the data of two nodes void swap(Node* a, Node* b) { // Swap the data in the nodes int temp = a->data; a->data = b->data; b->data = temp; } // Function to partition the list and find pivot Node* partition(Node* low, Node* high) { // Set pivot to the high node int pivot = high->data; // Pointer to place smaller elements Node* i = low->prev; // Traverse the list to rearrange nodes for (Node* j = low; j != high; j = j->next) { // If current node's data is less than or // equal to the pivot if (j->data <= pivot) { // Move i forward and swap with j i = (i == nullptr) ? low : i->next; swap(i, j); } } // Move i to the correct pivot position i = (i == nullptr) ? low : i->next; // Swap pivot with i's data swap(i, high); return i; } // Recursive function to apply quicksort void quickSort(Node* low, Node* high) { // Base case: if the list has one element or // invalid range if (low != nullptr && high != nullptr && low != high && low != high->next) { // Find the partition node (pivot) Node* pivot = partition(low, high); // Recursively sort the left half quickSort(low, pivot->prev); // Recursively sort the right half quickSort(pivot->next, high); } } // Function to get the last node of the list Node* getLastNode(Node* head) { // Traverse to the end of the list while (head != nullptr && head->next != nullptr) { head = head->next; } return head; } void printList(Node* node) { Node* curr = node; while (curr != nullptr) { cout << " " << curr->data; curr = curr->next; } } int main() { // Create a hard-coded doubly linked list: // 5 <-> 3 <-> 4 <-> 1 <-> 2 Node* head = new Node(5); head->next = new Node(3); head->next->prev = head; head->next->next = new Node(4); head->next->next->prev = head->next; head->next->next->next = new Node(1); head->next->next->next->prev = head->next->next; head->next->next->next->next = new Node(2); head->next->next->next->next->prev = head->next->next->next; Node* last = getLastNode(head); quickSort(head, last); printList(head); return 0; } C // C program to sort a doubly linked list // using quicksort #include <stdio.h> #include <stdlib.h> struct Node { int data; struct Node* next; struct Node* prev; }; // Function to swap the data of two nodes void swap(struct Node* a, struct Node* b) { // Swap the data in the nodes int temp = a->data; a->data = b->data; b->data = temp; } // Function to partition the list and find pivot struct Node* partition(struct Node* low, struct Node* high) { // Set pivot to the high node int pivot = high->data; // Pointer to place smaller elements struct Node* i = low->prev; // Traverse the list to rearrange nodes for (struct Node* j = low; j != high; j = j->next) { // If current node's data is less than // or equal to the pivot if (j->data <= pivot) { // Move `i` forward and swap with `j` i = (i == NULL) ? low : i->next; swap(i, j); } } // Move `i` to the correct pivot position i = (i == NULL) ? low : i->next; // Swap pivot with `i`'s data swap(i, high); return i; } // Recursive function to apply quicksort void quickSort(struct Node* low, struct Node* high) { // Base case: if the list has one element or // invalid range if (low != NULL && high != NULL && low != high && low != high->next) { // Find the partition node (pivot) struct Node* pivot = partition(low, high); // Recursively sort the left half quickSort(low, pivot->prev); // Recursively sort the right half quickSort(pivot->next, high); } } // Function to get the last node of the list struct Node* getLastNode(struct Node* head) { // Traverse to the end of the list while (head != NULL && head->next != NULL) { head = head->next; } return head; } void printList(struct Node* node) { struct Node* curr = node; while (curr != NULL) { printf("%d ", curr->data); curr = curr->next; } } struct Node* createNode(int new_data) { struct Node* new_node = (struct Node*)malloc(sizeof(struct Node)); new_node->data = new_data; new_node->next = NULL; new_node->prev = NULL; return new_node; } int main() { // Create a hard-coded doubly linked list: // 5 <-> 3 <-> 4 <-> 1 <-> 2 struct Node* head = createNode(5); head->next = createNode(3); head->next->prev = head; head->next->next = createNode(4); head->next->next->prev = head->next; head->next->next->next = createNode(1); head->next->next->next->prev = head->next->next; head->next->next->next->next = createNode(2); head->next->next->next->next->prev = head->next->next->next; struct Node* last = getLastNode(head); quickSort(head, last); printList(head); return 0; } Java // Java program to sort a doubly linked list // using quicksort class Node { int data; Node next, prev; Node(int x) { data = x; next = null; prev = null; } } public class GfG { // Function to swap data of two nodes static void swap(Node a, Node b) { // Swap data between `a` and `b` int temp = a.data; a.data = b.data; b.data = temp; } // Function to partition the list around pivot static Node partition(Node low, Node high) { // Set pivot to the data of `high` node int pivot = high.data; // Pointer to place smaller elements Node i = low.prev; // Traverse list from `low` to `high` for (Node j = low; j != high; j = j.next) { // If current data is <= pivot if (j.data <= pivot) { // Move `i` forward and swap with `j` i = (i == null) ? low : i.next; swap(i, j); } } // Move `i` to correct pivot position i = (i == null) ? low : i.next; // Swap pivot data with `i`'s data swap(i, high); return i; } // Recursive quicksort function static void quickSort(Node low, Node high) { // Base case: stop recursion when invalid range if (low != null && high != null && low != high && low != high.next) { // Partition the list and get the pivot node Node pivot = partition(low, high); // Recursively sort the left half quickSort(low, pivot.prev); // Recursively sort the right half quickSort(pivot.next, high); } } // Function to get the last node of the list static Node getLastNode(Node head) { // Traverse to the end of the list while (head != null && head.next != null) { head = head.next; } return head; } static void printList(Node node) { Node curr = node; while (curr != null) { System.out.print(" " + curr.data); curr = curr.next; } } public static void main(String[] args) { // Create a hard-coded doubly linked list: // 5 <-> 3 <-> 4 <-> 1 <-> 2 Node head = new Node(5); head.next = new Node(3); head.next.prev = head; head.next.next = new Node(4); head.next.next.prev = head.next; head.next.next.next = new Node(1); head.next.next.next.prev = head.next.next; head.next.next.next.next = new Node(2); head.next.next.next.next.prev = head.next.next.next; Node last = getLastNode(head); quickSort(head, last); printList(head); } } Python # Python program to sort a doubly linked list # using quicksort class Node: def __init__(self, data): self.data = data self.next = None self.prev = None # Function to swap data between two nodes def swap(a, b): # Swap the data between node `a` and node `b` a.data, b.data = b.data, a.data # Partition function for quicksort def partition(low, high): # Set pivot as the data of `high` node pivot = high.data # Pointer to place smaller elements i = low.prev # Traverse from `low` to `high` curr = low while curr != high: # If current node's data is <= pivot if curr.data <= pivot: # Move `i` forward and swap with `curr` i = low if i is None else i.next swap(i, curr) curr = curr.next # Move `i` to the correct pivot position i = low if i is None else i.next # Swap pivot data with `i`'s data swap(i, high) return i # Recursive quicksort function def quick_sort(low, high): # Base case: stop when invalid range if low and high and low != high and low != high.next: # Partition the list and get the pivot node pivot = partition(low, high) # Recursively sort the left half quick_sort(low, pivot.prev) # Recursively sort the right half quick_sort(pivot.next, high) # Function to get the last node of the list def get_last_node(head): # Traverse to the last node while head and head.next: head = head.next return head def print_list(node): curr = node while curr: print(curr.data, end=" ") curr = curr.next if __name__ == '__main__': # Create a hard-coded doubly linked list: # 5 <-> 3 <-> 4 <-> 1 <-> 2 head = Node(5) head.next = Node(3) head.next.prev = head head.next.next = Node(4) head.next.next.prev = head.next head.next.next.next = Node(1) head.next.next.next.prev = head.next.next head.next.next.next.next = Node(2) head.next.next.next.next.prev = head.next.next.next last_node = get_last_node(head) quick_sort(head, last_node) print_list(head) C# // C# program to sort a singly linked list // using quicksort using System; public class Node { public int data; public Node next; public Node(int new_data) { data = new_data; next = null; } } class GfG { // Function to swap data between two nodes static void Swap(Node a, Node b) { // Swap data between node `a` and node `b` int temp = a.data; a.data = b.data; b.data = temp; } // Partition function for quicksort static Node Partition(Node low, Node high) { // Set pivot as the data of `high` node int pivot = high.data; // Pointer to place smaller elements Node i = low; // Traverse from `low` to `high` Node curr = low; while (curr != high) { // If current node's data is <= pivot if (curr.data <= pivot) { // Swap data between `i` and `curr` Swap(i, curr); // Move `i` forward i = i.next; } curr = curr.next; } // Swap pivot data with `i`'s data Swap(i, high); return i; } // Recursive quicksort function static void QuickSort(Node low, Node high) { // Base case: stop when invalid range if (low != high && low != null && high != null) { // Partition the list and get the pivot node Node pivot = Partition(low, high); // Recursively sort the left half Node beforePivot = low; while (beforePivot != null && beforePivot.next != pivot) { beforePivot = beforePivot.next; } // Sort left of pivot only if exists if (beforePivot != null && beforePivot != pivot) QuickSort(low, beforePivot); // Recursively sort the right half if (pivot != null && pivot.next != high) QuickSort(pivot.next, high); } } // Function to get the last node of the list static Node GetLastNode(Node head) { // Traverse the list to find the last node while (head != null && head.next != null) { head = head.next; } return head; } static void PrintList(Node node) { Node curr = node; while (curr != null) { Console.Write(" " + curr.data); curr = curr.next; } } static void Main(string[] args) { // Create a hard-coded linked list: // 5 -> 3 -> 4 -> 1 -> 2 Node head = new Node(5); head.next = new Node(3); head.next.next = new Node(4); head.next.next.next = new Node(1); head.next.next.next.next = new Node(2); Node lastNode = GetLastNode(head); QuickSort(head, lastNode); PrintList(head); } } JavaScript // JavaScript program to sort a doubly linked list // using quicksort class Node { constructor(data) { this.data = data; this.next = null; this.prev = null; } } // Function to swap the data between two nodes function swap(a, b) { let temp = a.data; a.data = b.data; b.data = temp; } // Partition function for quicksort function partition(low, high) { // Set pivot as the data of `high` node let pivot = high.data; // Pointer to place smaller elements let i = low.prev; // Traverse from `low` to `high` for (let j = low; j !== high; j = j.next) { if (j.data <= pivot) { i = (i === null) ? low : i.next; swap(i, j); } } // Swap pivot data with `i.next`'s data i = (i === null) ? low : i.next; swap(i, high); return i; } // Recursive quicksort function function quickSort(low, high) { if (low !== null && high !== null && low !== high && low !== high.next) { let pivot = partition(low, high); // Sort left side of the pivot quickSort(low, pivot.prev); // Sort right side of the pivot quickSort(pivot.next, high); } } // Function to get the last node of the list function getLastNode(head) { while (head !== null && head.next !== null) { head = head.next; } return head; } function printList(node) { let curr = node; while (curr !== null) { console.log(" " + curr.data); curr = curr.next; } } // Create a hard-coded doubly linked list: // 5 <-> 3 <-> 4 <-> 1 <-> 2 let head = new Node(5); head.next = new Node(3); head.next.prev = head; head.next.next = new Node(4); head.next.next.prev = head.next; head.next.next.next = new Node(1); head.next.next.next.prev = head.next.next; head.next.next.next.next = new Node(2); head.next.next.next.next.prev = head.next.next.next; let lastNode = getLastNode(head); quickSort(head, lastNode); printList(head); Output 1 2 3 4 5Time Complexity: On average, quicksort has a time complexity of O(nlogn), where n is the number of nodes. In the worst case (e.g., already sorted list), it becomes O(n²).Auxiliary Space: O(logn) due to the recursion stack in average cases, and O(n) in the worst case. Comment More infoAdvertise with us K kartik Follow Improve Article Tags : Linked List Sorting DSA HSBC Quick Sort doubly linked list Linked-List-Sorting +3 More Practice Tags : HSBCLinked ListSorting Similar Reads Basics & PrerequisitesLogic Building ProblemsLogic building is about creating clear, step-by-step methods to solve problems using simple rules and principles. Itâs the heart of coding, enabling programmers to think, reason, and arrive at smart solutions just like we do.Here are some tips for improving your programming logic: Understand the pro 2 min read Analysis of AlgorithmsAnalysis of Algorithms is a fundamental aspect of computer science that involves evaluating performance of algorithms and programs. 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