What is a Linked List?
A Linked List is a linear data structure which looks like a chain of nodes, where each node is a different element. Unlike Arrays, Linked List elements are not stored at a contiguous location.
It is basically chains of nodes, each node contains information such as data and a pointer to the next node in the chain. In the linked list there is a head pointer, which points to the first element of the linked list, and if the list is empty then it simply points to null or nothing.
Linked List Tutorial
Why linked list data structure needed?
Here are a few advantages of a linked list that is listed below, it will help you understand why it is necessary to know.
- Dynamic Data structure: The size of memory can be allocated or de-allocated at run time based on the operation insertion or deletion.
- Ease of Insertion/Deletion: The insertion and deletion of elements are simpler than arrays since no elements need to be shifted after insertion and deletion, Just the address needed to be updated.
- Efficient Memory Utilization: As we know Linked List is a dynamic data structure the size increases or decreases as per the requirement so this avoids the wastage of memory.
- Implementation: Various advanced data structures can be implemented using a linked list like a stack, queue, graph, hash maps, etc.
There are mainly three types of linked lists:
- Single-linked list
- Double linked list
- Circular linked list
Traversal of items can be done in the forward direction only due to the linking of every node to its next node.
Singly Linked List
Representation of Single linked list:
C++
class Node {
public:
int data;
Node* next;
};
|
C
struct Node {
int data;
struct Node* next;
};
|
Java
class LinkedList {
Node head;
class Node {
int data;
Node next;
Node(int d)
{
data = d;
next = null;
}
}
}
|
Python3
class Node:
def __init__(self, data):
self.data = data
self.next = None
class LinkedList:
def __init__(self):
self.head = None
|
C#
public class Node {
public int data;
public Node next;
public Node(int d)
{
data = d;
next = null;
}
|
Javascript
<script>
var head;
class Node {
constructor(d) {
this.data = d;
this.next = null;
}
}
</script>
|
Commonly used operations on Singly Linked List:
The following operations are performed on a Single Linked List
- Insertion: The insertion operation can be performed in three ways. They are as follows…
- Deletion: The deletion operation can be performed in three ways. They are as follows…
- Search: It is a process of determining and retrieving a specific node either from the front, the end or anywhere in the list.
- Display: This process displays the elements of a Single-linked list.
Practice problems on Singly linked list:
| S.no | Question | Article |
|---|
| 1 | Introduction to Linked List | View |
| 2 | Detect loop in a linked list | View |
| 3 | Find length of loop in linked list | View |
| 4 | Function to check if a singly linked list is palindrome | View |
| 5 | Remove duplicates from a sorted linked list | View |
| 6 | Remove duplicates from an unsorted linked list | View |
| 7 | Remove loop in Linked List | View |
| 8 | Swap nodes in a linked list without swapping data | View |
| 9 | Move last element to front of a given Linked List | View |
| 10 | Intersection of two Sorted Linked Lists | View |
Traversal of items can be done in both forward and backward directions as every node contains an additional prev pointer that points to the previous node.
Doubly linked list
Representation of Doubly linked list:
A Node Creation:
C++
class Node {
public:
int data;
Node* next;
Node* prev;
};
|
C
struct Node {
int data;
struct Node* next;
struct Node* prev;
};
|
Java
public class DLL {
Node head;
class Node {
int data;
Node prev;
Node next;
Node(int d) { data = d; }
}
}
|
Python3
class Node:
def __init__(self, next=None, prev=None, data=None):
self.next = next
self.prev = prev
self.data = data
|
C#
public class DLL {
Node head;
public class Node {
public int data;
public Node prev;
public Node next;
Node(int d) { data = d; }
}
}
|
Javascript
<script>
var head;
class Node {
constructor(val) {
this.data = val;
this.prev = null;
this.next = null;
}
}
</script>
|
Commonly used operations on Double-Linked List:
In a double-linked list, we perform the following operations…
- Insertion: The insertion operation can be performed in three ways as follows:
- Deletion: The deletion operation can be performed in three ways as follows…
- Display: This process displays the elements of a double-linked list.
Practice problems on Doubly linked list:
| S.no | Question | Article |
|---|
| 1 | Reverse a Doubly Linked List | View |
| 2 | Copy a linked list with next and arbit pointer | View |
| 3 | Swap Kth node from beginning with Kth node from end in a Linked List | View |
| 4 | Merge Sort for Doubly Linked List | View |
| 5 | Sort a k sorted doubly linked list | View |
| 6 | Remove duplicates from an unsorted linked list | View |
| 7 | Rotate Doubly linked list by N nodes | View |
| 8 | Merge Two Balanced Binary Search Trees | View |
| 9 | Convert a Binary Tree into Doubly Linked List in spiral fashion | View |
| 10 | Convert a given Binary Tree to Doubly Linked List | View |
A circular linked list is a type of linked list in which the first and the last nodes are also connected to each other to form a circle, there is no NULL at the end.
Circular Linked List
Commonly used operations on Circular Linked List:
The following operations are performed on a Circular Linked List
- Insertion: The insertion operation can be performed in three ways:
- Deletion: The deletion operation can be performed in three ways:
- Display: This process displays the elements of a Circular linked list.
Practice problems on Circular linked list:
| S.no | Question | Article |
|---|
| 1 | Circular Linked List Traversal | View |
| 2 | Split a Circular Linked List into two halves | View |
| 3 | Sorted insert for circular linked list | View |
| 4 | Check if a linked list is Circular Linked List | View |
| 5 | Deletion from a Circular Linked List | View |
| 6 | Josephus Circle using circular linked list | View |
| 7 | Convert singly linked list into circular linked list | View |
| 8 | Implementation of Deque using circular array | View |
| 9 | Exchange first and last nodes in Circular Linked List | View |
| 10 | Count nodes in Circular linked list | View |
Linked List vs. Array
Linked List vs. Array in Time Complexity
| Operation | Linked list | Array |
|---|
| Random Access | O(N) | O(1) |
| Insertion and deletion at beginning | O(1) | (N) |
| Insertion and deletion at end | O(N) | O(1) |
| Insertion and deletion at a random position | O(N) | O(N) |
- Dynamic nature: Linked lists are used for dynamic memory allocation.
- Memory efficient: Memory consumption of a linked list is efficient as its size can grow or shrink dynamically according to our requirements, which means effective memory utilization hence, no memory wastage.
- Ease of Insertion and Deletion: Insertion and deletion of nodes are easily implemented in a linked list at any position.
- Implementation: For the implementation of stacks and queues and for the representation of trees and graphs.
- The linked list can be expanded in constant time.
- Memory usage: The use of pointers is more in linked lists hence, complex and requires more memory.
- Accessing a node: Random access is not possible due to dynamic memory allocation.
- Search operation costly: Searching for an element is costly and requires O(n) time complexity.
- Traversing in reverse order: Traversing is more time-consuming and reverse traversing is not possible in singly linked lists.
Here are some of the applications of a linked list:
- Linear data structures such as stack, queue, and non-linear data structures such as hash maps, and graphs can be implemented using linked lists.
- Dynamic memory allocation: We use a linked list of free blocks.
- Implementation of graphs: Adjacency list representation of graphs is the most popular in that it uses linked lists to store adjacent vertices.
- In web browsers and editors, doubly linked lists can be used to build a forwards and backward navigation button.
- A circular doubly linked list can also be used for implementing data structures like Fibonacci heaps.
- The list of songs in the music player is linked to the previous and next songs.
- In a web browser, previous and next web page URLs are linked through the previous and next buttons.
- In the image viewer, the previous and next images are linked with the help of the previous and next buttons.
- Switching between two applications is carried out by using “alt+tab” in windows and “cmd+tab” in mac book. It requires the functionality of a circular linked list.
- In mobile phones, we save the contacts of people. The newly entered contact details will be placed at the correct alphabetical order.
- This can be achieved by a linked list to set contact at the correct alphabetical position.
- The modifications that we made in the documents are actually created as nodes in doubly linked list. We can simply use the undo option by pressing Ctrl+Z to modify the contents. It is done by the functionality of a linked list.
Frequently asked questions (FAQs) about Linked list:
1. What is linked list data structure?
Linked list are most commonly used to handle dynamic data elements. Linked list consists of nodes and a node consists of two fields one for storing data and other for keeping the reference of next node.
2. What is linked list example?
A linked list can be assumed as a garland that is made up of flowers. Similarly, a linked list is made up of nodes. Every flower in this particular garland is referred to as a node. In addition, each node points to the next node in this list, and it contains data (in this case, the type of flower).
3. Why do we need linked list data structure??
There are some important advantages to using linked lists over other linear data structures. This is unlike arrays, as they are resizable at runtime. Additionally, they can be easily inserted and deleted.
4. What are linked lists used for?
The linked list is a linear data structure that stores data in nodes. these nodes hold both the data and a reference to the next node in the list. Linked are very efficient at adding and removing nodes because of their simple structure.
5. What is the difference between array and linked list?
There are some following differences between them:
- Arrays are data structures containing similar data elements, whereas linked lists are non-primitive data structures containing unordered linked elements.
- In an array, elements are indexed, but in a linked list nodes are not indexed.
- Accessing an element array is fast if we know the position of an element in the array, while in the Linked list it takes linear time so, the Linked list is quite bit slower.
- Operations like insertion and deletion in arrays take a lot of time. Whereas, the performance of these operations is faster in Linked lists.
- Arrays are of fixed size and their size is static but Linked lists are dynamic and flexible and can expand and shrink their size.
6. Why is a linked list preferred over an array?
Following are the reason that linked lists are preferred over array
- Nodes in a linked array, insertions, and deletions can be done at any point in the list at a constant time.
- Arrays are of fixed size and their size is static but Linked lists are dynamic and flexible and can expand and shrink their size.
- Linked lists provide an efficient way of storing related data and performing basic operations such as insertion, deletion, and updating of information at the cost of extra space required for storing the address.
- Insertion and deletion operations in the linked list are faster as compared to the array.
7. What is the difference between a singly and doubly linked list?
Following are some difference between single and double linked list.
| Singly-linked list (SLL) | Doubly linked list (DLL) |
|---|
| SLL nodes contains 2 field data field and next link field. | DLL nodes contains 3 fields data field, a previous link field and a next link field. |
| In SLL, the traversal can be done using the next node link only. Thus traversal is possible in one direction only. | In DLL, the traversal can be done using the previous node link or the next node link. Thus traversal is possible in both directions (forward and backward). |
| The SLL occupies less memory than DLL as it has only 2 fields. | The DLL occupies more memory than SLL as it has 3 fields. |
| The Complexity of insertion and deletion at a given position is O(n). | The Complexity of insertion and deletion at a given position is O(n / 2) = O(n) because traversal can be made from start or from the end. |
| Complexity of deletion with a given node is O(n), because the previous node needs to be known, and traversal takes O(n) | Complexity of deletion with a given node is O(1) because the previous node can be accessed easily |
| A singly linked list consumes less memory as compared to the doubly linked list. | The doubly linked list consumes more memory as compared to the singly linked list. |
8. Which is the best array or linked list?
There are some advantages and disadvantages to both arrays and linked lists when it comes to storing linear data of similar types.
Advantages of linked list over arrays:
- Dynamic size: Linked lists are dynamic and flexible and can expand and shrink their size
- Ease of Insertion/Deletion: Insertion and deletion operations in linked list are faster as compared to the array
Disadvantages of linked list over arrays:
- If the array is sorted we can apply binary search to search any element which takes O(log(n)) time. But even if the linked list is sorted we cannot apply binary search and the complexity of searching elements in the linked list is O(n).
- A linked list takes more memory as compared to the array because extra memory space is required for the pointer with each element in the linked list.
9. What are the limitations of linked list?
Following are some limitations of the linked list:
- The use of pointers is more in linked lists hence, complex and requires more memory.
- Random access is not possible due to dynamic memory allocation.
- Traversing is more time-consuming and reverse traversing is not possible in singly linked lists.
- Searching for an element is costly and requires O(n) time complexity.
10. Why insertion/deletion are faster in a linked list?
If any element is inserted/ deleted from the array, all the other elements after it will be shifted in memory this takes a lot of time whereas manipulation in Linked List is faster because we just need to manipulate the addresses of nodes, so no bit shifting is required in memory, and it will not take that much of time.
Conclusion
There are many advantages of the linked list compared to array, despite the fact that they solve the similar problem to arrays, we have also discussed the advantage, disadvantages, and its application, and we concluded the fact that we can use a linked list if we need the dynamic size of storage and list are good for adding and removing items quickly or for tasks that require sequence but are not suitable for querying or search elements in a large collection of data.
So, it becomes important that we should always keep in mind the positive and negative aspects of a data structure and how they relate to the problem you are trying to solve.
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