Problem Statement: Given a node’s reference within a doubly linked list (it is guaranteed not to be the head), the task is to remove that node while preserving the list’s integrity.
Examples
Example 1:
Input Format:
DLL: 3 <-> 2 <-> 5 <-> 1 <-> 3 Given Node: 5
Result: DLL: 3 <-> 2 <-> 1 <-> 3
Explanation: The given node of value 5 has been deleted from the list.
Example 2:
Input Format:
DLL: 7 <-> 5 Given Node: 5
Result: DLL: 7
Explanation: The given node was the tail node of the doubly linked list and it will be deleted.
Solution
Disclaimer: Don’t jump directly to the solution, try it out yourself first.
Approach:
Given a node` temp` in a doubly linked list, our goal is to remove it while maintaining list integrity. The intuition is to make sure that
– the last node before the ‘temp’ node should have its next pointer pointing to the node after the ‘temp’ node. – the node after ‘temp’ should have its back pointer pointing to the node before ‘temp’.
Algorithm
Step 1: Given the node temp, identify its previous node prev and next node front. This can be easily done using the back and next pointer of the given node ‘temp’
Step 2: Update the next of the prev to point to the front. Update the back of the front to point to prev.
Step 3: Set temp’s next and back to null to fully disconnect it.
Step 4: Delete temp (C++ Only)Note that in C++, it’s essential to explicitly delete the previous head to free memory. In Java, memory management isautomatic, handled by the garbage collector, which cleans up unreferenced objects.
Code:
C++ Code
#include <iostream>
#include <bits/stdc++.h>
using namespace std;
// Define a Node class for doubly linked list
class Node {
public:
int data; // Data stored in the node
Node* next; // Pointer to the next node in the list (forward direction)
Node* back; // Pointer to the previous node in the list (backward direction)
// Constructor for a Node with both data, a reference to the next node, and a reference to the previous node
Node(int data1, Node* next1, Node* back1) {
data = data1;
next = next1;
back = back1;
}
// Constructor for a Node with data, and no references to the next and previous nodes (end of the list)
Node(int data1) {
data = data1;
next = nullptr;
back = nullptr;
}
};
// Function to convert an array to a doubly linked list
Node* convertArr2DLL(vector<int> arr) {
// Create the head node with the first element of the array
Node* head = new Node(arr[0]);
// Initialize 'prev' to the head node
Node* prev = head;
for (int i = 1; i < arr.size(); i++) {
// Create a new node with data from the array and set its 'back' pointer to the previous node
Node* temp = new Node(arr[i], nullptr, prev);
// Update the 'next' pointer of the previous node to point to the new node
prev->next = temp;
// Move 'prev' to the newly created node for the next iteration
prev = temp;
}
// Return the head of the doubly linked list
return head;
}
// Function to print the elements of the doubly linked list
void print(Node* head) {
while (head != nullptr) {
// Print the data in the current node
cout << head->data << " ";
// Move to the next node
head = head->next;
}
}
void deleteNode(Node* temp){
Node* prev = temp->back;
Node* front = temp->next;
// edge case if temp is the tail node
if(front==NULL){
prev->next = nullptr;
temp->back = nullptr;
free (temp);
return;
}
//Disconnect temp from the doubly linked list
prev->next = front;
front->back = prev;
// Set temp's pointers to NULL
temp->next = nullptr;
temp->back = nullptr;
// Free memory of the deleted node
free(temp);
return;
}
int main() {
vector<int> arr = {12, 5, 8, 7, 4};
Node* head = convertArr2DLL(arr);
print(head);
cout << endl << "Doubly Linked List after node with data '5' is removed: " << endl;
deleteNode(head->next);
print(head);
return 0;
}
Output:
12 5 8 7 4 Doubly Linked List after node with data ‘5’ is removed: 12 8 7 4
Time Complexity: O(1) Removing a node of a doubly linked list is a quick operation, taking constant time because it only involves updating references and is independent of the list’s length.
Space Complexity: O(1) Deleting a node also has minimal memory usage, using a few extra pointers without regard to the list’s size hence constant space complexity.
Java Code
public class DLinkedList {
public static class Node {
public int data; // Data stored in the node
public Node next; // Reference to the next node in the list (forward direction)
public Node back; // Reference to the previous node in the list (backward direction)
// Constructor for a Node with both data, a reference to the next node, and a reference to the previous node
public Node(int data1, Node next1, Node back1) {
data = data1;
next = next1;
back = back1;
}
// Constructor for a Node with data, and no references to the next and previous nodes (end of the list)
public Node(int data1) {
data = data1;
next = null;
back = null;
}
}
private static Node convertArr2DLL(int[] arr) {
// Create the head node with the first element of the array
Node head = new Node(arr[0]);
// Initialize 'prev' to the head node
Node prev = head;
for (int i = 1; i < arr.length; i++) {
// Create a new node with data from the array and set its 'back' pointer to the previous node
Node temp = new Node(arr[i], null, prev);
// Update the 'next' pointer of the previous node to point to the new node
prev.next = temp;
// Move 'prev' to the newly created node for the next iteration
prev = temp;
}
// Return the head of the doubly linked list
return head;
}
private static void deleteNode(Node temp){
Node prev = temp.back;
Node front = temp.next;
// edge case if temp is the tail node
if(front==null){
prev.next = null;
temp.back = null;
return;
}
//Disconnect temp from the doubly linked list
prev.next = front;
front.back = prev;
// Set temp's pointers to null
temp.next = null;
temp.back = null;
// Free memory of the deleted node
return;
}
private static void print(Node head) {
while (head != null) {
System.out.print(head.data + " "); // Print the data in the current node
head = head.next; // Move to the next node
}
System.out.println();
}
public static void main(String[] args) {
int[] arr = {12, 5, 6, 8, 4};
Node head = convertArr2DLL(arr); // Convert the array to a doubly linked list
print(head); // Print the doubly linked list
System.out.println("Doubly Linked List after deleting node with value '5': ");
deleteNode(head.next);
print(head);
}
}
Output:
12 5 8 7 4 Doubly Linked List after node with data ‘5’ is removed: 12 8 7 4
Time Complexity: O(1) Removing a node of a doubly linked list is a quick operation, taking constant time because it only involves updating references and is independent of the list’s length.
Space Complexity: O(1) Deleting a node also has minimal memory usage, using a few extra pointers without regard to the list’s size hence constant space complexity.
Python Code
class Node:
def __init__(self, data, next_node=None, back_node=None):
self.data = data
self.next = next_node
self.back = back_node
def convert_arr_to_dll(arr):
head = Node(arr[0])
prev = head
for i in range(1, len(arr)):
temp = Node(arr[i], None, prev)
prev.next = temp
prev = temp
return head
def print_dll(head):
while head is not None:
print(head.data, end=" ")
head = head.next
print()
def delete_node(temp):
prev = temp.back
front = temp.next
if front is None:
prev.next = None
temp.back = None
del temp
return
prev.next = front
front.back = prev
temp.next = None
temp.back = None
del temp
if __name__ == "__main__":
arr = [12, 5, 8, 7, 4]
head = convert_arr_to_dll(arr)
print_dll(head)
print("\nDoubly Linked List after node with data '5' is removed:")
delete_node(head.next)
print_dll(head)
Output:
12 5 8 7 4 Doubly Linked List after node with data ‘5’ is removed: 12 8 7 4
Time Complexity: O(1) Removing a node of a doubly linked list is a quick operation, taking constant time because it only involves updating references and is independent of the list’s length.
Space Complexity: O(1) Deleting a node also has minimal memory usage, using a few extra pointers without regard to the list’s size hence constant space complexity.
JavaScript Code
// Define a Node class for doubly linked list
class Node {
constructor(data, nextNode = null, backNode = null) {
this.data = data;
this.next = nextNode;
this.back = backNode;
}
}
// Function to convert an array to a doubly linked list
function convertArrToDLL(arr) {
// Create the head node with the first element of the array
const head = new Node(arr[0]);
// Initialize 'prev' to the head node
let prev = head;
for (let i = 1; i < arr.length; i++) {
// Create a new node with data from the array and set its 'back' pointer to the previous node
const temp = new Node(arr[i], null, prev);
// Update the 'next' pointer of the previous node to point to the new node
prev.next = temp;
// Move 'prev' to the newly created node for the next iteration
prev = temp;
}
// Return the head of the doubly linked list
return head;
}
// Function to print the elements of the doubly linked list
function printDLL(head) {
while (head !== null) {
// Print the data in the current node
console.log(head.data + " ");
// Move to the next node
head = head.next;
}
}
// Function to delete a node with the specified data
function deleteNode(temp) {
const prev = temp.back;
const front = temp.next;
// Edge case if temp is the tail node
if (front === null) {
prev.next = null;
temp.back = null;
// Delete the node
delete temp;
return;
}
// Disconnect temp from the doubly linked list
prev.next = front;
front.back = prev;
// Set temp's pointers to null
temp.next = null;
temp.back = null;
// Delete the node
delete temp;
}
const arr = [12, 5, 8, 7, 4];
const head = convertArrToDLL(arr);
printDLL(head);
console.log("\nDoubly Linked List after node with data '5' is removed:");
deleteNode(head.next);
printDLL(head);
Output:
12 5 8 7 4 Doubly Linked List after node with data ‘5’ is removed: 12 8 7 4
Time Complexity: O(1) Removing a node of a doubly linked list is a quick operation, taking constant time because it only involves updating references and is independent of the list’s length.
Space Complexity: O(1) Deleting a node also has minimal memory usage, using a few extra pointers without regard to the list’s size hence constant space complexity.
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Special thanks to Gauri Tomar for contributing to this article on takeUforward. If you also wish to share your knowledge with the takeUforward fam, please check out this article