Complete guide to mastering Circular Linked Lists in 2025 with this beginner-to-advanced tutorial! Learn how circular linked lists work, their types, operations, and real-life applications through clear explanations, code examples in C, C++, Java, Python, and JavaScript, and step-by-step implementations. This post also covers time and space complexity, interview FAQs, help you crack coding interviews and academic exams. Perfect for students, developers, and data structure enthusiasts!
What is a Circular Linked List?
A Circular Linked List is a variation of the linked list in which the last node points back to the first node instead of pointing to NULL
. This creates a looped structure where you can traverse endlessly through the list starting from any node.
🔁 In a circular linked list, you can go from tail to head seamlessly — it’s like a roundabout with no end!
Why Learn Circular Linked Lists?
Learning about Circular Linked Lists is crucial for understanding how dynamic data structures work in memory. They are especially useful for:
- Circular buffers (ring buffers)
- Multiplayer game round-robin scheduling
- Task scheduling algorithms
- Data streaming
Types of Circular Linked List
- Singly Circular Linked List
Each node has adata
and anext
pointer, and thenext
of the last node points to the first node. - Doubly Circular Linked List
Each node hasdata
,next
, andprev
pointers. Thenext
of the last node connects to the first node and theprev
of the first node connects to the last.
Circular Linked List Operations
1. Insertion
- At the beginning
- At the end
- After a specific node
2. Deletion
- From the beginning
- From the end
- A specific node
3. Traversal
- Start from any node and keep moving until you’re back to the same node.
// Example: Circular Linked List Traversal in C
void traverse(struct Node* head) {
struct Node* temp = head;
if (head != NULL) {
do {
printf("%d ", temp->data);
temp = temp->next;
} while (temp != head);
}
}
Circular Linked List implementation
C Implementation CLL
#include <stdio.h>
#include <stdlib.h>
struct Node {
int data;
struct Node* next;
};
void traverse(struct Node* head) {
if (head == NULL) return;
struct Node* temp = head;
do {
printf("%d ", temp->data);
temp = temp->next;
} while (temp != head);
}
struct Node* insertEnd(struct Node* head, int data) {
struct Node* newNode = (struct Node*)malloc(sizeof(struct Node));
newNode->data = data;
if (!head) {
newNode->next = newNode;
return newNode;
}
struct Node* temp = head;
while (temp->next != head) temp = temp->next;
temp->next = newNode;
newNode->next = head;
return head;
}
✅ C++ Implementation CLL
#include <iostream>
using namespace std;
class Node {
public:
int data;
Node* next;
Node(int val) {
data = val;
next = nullptr;
}
};
void traverse(Node* head) {
if (!head) return;
Node* temp = head;
do {
cout << temp->data << " ";
temp = temp->next;
} while (temp != head);
}
Node* insertEnd(Node* head, int val) {
Node* newNode = new Node(val);
if (!head) {
newNode->next = newNode;
return newNode;
}
Node* temp = head;
while (temp->next != head) temp = temp->next;
temp->next = newNode;
newNode->next = head;
return head;
}
✅ Java Implementation CLL
class Node {
int data;
Node next;
Node(int data) {
this.data = data;
this.next = null;
}
}
public class CircularLinkedList {
Node head;
void traverse() {
if (head == null) return;
Node temp = head;
do {
System.out.print(temp.data + " ");
temp = temp.next;
} while (temp != head);
}
void insertEnd(int data) {
Node newNode = new Node(data);
if (head == null) {
newNode.next = newNode;
head = newNode;
return;
}
Node temp = head;
while (temp.next != head) temp = temp.next;
temp.next = newNode;
newNode.next = head;
}
}
✅ Python Implementation CLL
class Node:
def __init__(self, data):
self.data = data
self.next = None
class CircularLinkedList:
def __init__(self):
self.head = None
def traverse(self):
if not self.head:
return
temp = self.head
while True:
print(temp.data, end=' ')
temp = temp.next
if temp == self.head:
break
def insert_end(self, data):
new_node = Node(data)
if not self.head:
new_node.next = new_node
self.head = new_node
return
temp = self.head
while temp.next != self.head:
temp = temp.next
temp.next = new_node
new_node.next = self.head
✅ JavaScript Implementation CLL
class Node {
constructor(data) {
this.data = data;
this.next = null;
}
}
class CircularLinkedList {
constructor() {
this.head = null;
}
traverse() {
if (!this.head) return;
let temp = this.head;
do {
console.log(temp.data);
temp = temp.next;
} while (temp !== this.head);
}
insertEnd(data) {
const newNode = new Node(data);
if (!this.head) {
newNode.next = newNode;
this.head = newNode;
return;
}
let temp = this.head;
while (temp.next !== this.head) {
temp = temp.next;
}
temp.next = newNode;
newNode.next = this.head;
}
}
Time & Space Complexity of Circular Linked List
Operation | Time Complexity | Space Complexity |
---|---|---|
Insert at End | O(n) | O(1) |
Traverse | O(n) | O(1) |
Delete Node | O(n) | O(1) |
Search | O(n) | O(1) |
⚠️ Note: You can make insertion
O(1)
by maintaining a tail pointer.
Advantages of Circular Linked List
- No
NULL
value at the end - Ideal for implementing circular queues
- Efficient for round-robin scheduling
- Can traverse from any node
Disadvantages of Circular Linked List
- Slightly more complex insertion/deletion logic
- Risk of infinite loops if not handled properly
Circular Linked List vs Singly Linked List
Feature | Singly Linked List | Circular Linked List |
---|---|---|
End Pointer | Points to NULL | Points to head node |
Traversal | Ends at NULL | Loops back to start |
Use Case | Linear data | Circular scheduling |
Real-world Use Cases of Circular Linked List
- Music playlist apps (loop through songs)
- Task scheduling in OS
- Live data streams
- Circular queues
FAQ of Circular Linked List
1.What is the use of circular linked list?
It is mainly used in applications that require a continuous traversal like CPU scheduling, music players, or multiplayer games.
2.What is the time complexity of circular linked list operations?
Insertion: O(1)
(beginning), O(n)
(end/after a node)
Deletion: O(1)
(beginning), O(n)
(specific node)
Traversal: O(n)
3.Can we implement a stack or queue using a circular linked list?
Yes! Circular linked lists are great for queues, especially when a circular buffer is needed.
4.How to detect a circular linked list?
Use Floyd’s Cycle Detection Algorithm (Tortoise and Hare method).
5.What is a Circular Linked List in Data Structures?
A Circular Linked List is a type of linked list where the last node is connected back to the first node, forming a closed loop. Unlike a singly linked list where the last node points to NULL
, a circular linked list enables continuous traversal from any point in the list. This structure is highly useful in circular queues, CPU scheduling, and real-time applications.
6.What are the types of Circular Linked Lists?
There are two main types of Circular Linked Lists:
Singly Circular Linked List: Each node has one pointer pointing to the next node, and the last node points to the head.
Doubly Circular Linked List: Each node has two pointers (prev
and next
), and both the first and last nodes are connected circularly in both directions.
Both types are used based on the complexity of operations needed and memory constraints.
7.What are the real-life applications of Circular Linked List?
Circular Linked Lists are widely used in:
Round-robin CPU scheduling
Music or video playlists that auto-repeat
Circular buffers in embedded systems
Real-time data stream processing
Traffic light simulation systems
Multiplayer games for turn rotation
These applications benefit from the list’s looping behavior, which avoids end-condition checks.
8.What is the time complexity of Circular Linked List operations?
Insertion at end/head: O(n)
/ O(1)
(if tail maintained)
Deletion at head: O(n)
Search: O(n)
Traversal: O(n)
Maintaining a tail pointer can reduce insertion time at the end to O(1)
.
9.How do you detect a circular linked list in a program?
To detect a circular linked list, you can use Floyd’s Cycle Detection Algorithm (Tortoise and Hare Algorithm):
Use two pointers moving at different speeds.
If they ever meet, a cycle exists.
If the fast pointer reaches NULL
, it’s not circular.
This is the most efficient method with O(n)
time and O(1)
space.
10.Can a Circular Linked List be used to implement a queue?
Yes, Circular Linked Lists are perfect for circular queues, especially when:
Memory usage is fixed (as in embedded systems).
You need constant-time insertion and deletion.
It avoids shifting elements (like in arrays) and supports continuous enqueuing and dequeuing.
Conclusion
A Circular Linked List offers flexibility, especially when your use case involves continuous looping or round-based tasks. While it can be a bit more complex than a regular linked list, it brings efficiency and circular logic into dynamic data structures.
If you’re preparing for coding interviews, learning circular linked lists will give you an edge!

You can also Visit other tutorials of Embedded Prep
- Multithreading in C++
- Multithreading Interview Questions
- Multithreading in Operating System
- Multithreading in Java
- POSIX Threads pthread Beginner’s Guide in C/C++
- Speed Up Code using Multithreading
- Limitations of Multithreading
- Common Issues in Multithreading
- Multithreading Program with One Thread for Addition and One for Multiplication
- Advantage of Multithreading
- Disadvantages of Multithreading
- Applications of Multithreading: How Multithreading Makes Modern Software Faster and Smarter”
Mr. Raj Kumar is a highly experienced Technical Content Engineer with 7 years of dedicated expertise in the intricate field of embedded systems. At Embedded Prep, Raj is at the forefront of creating and curating high-quality technical content designed to educate and empower aspiring and seasoned professionals in the embedded domain.
Throughout his career, Raj has honed a unique skill set that bridges the gap between deep technical understanding and effective communication. His work encompasses a wide range of educational materials, including in-depth tutorials, practical guides, course modules, and insightful articles focused on embedded hardware and software solutions. He possesses a strong grasp of embedded architectures, microcontrollers, real-time operating systems (RTOS), firmware development, and various communication protocols relevant to the embedded industry.
Raj is adept at collaborating closely with subject matter experts, engineers, and instructional designers to ensure the accuracy, completeness, and pedagogical effectiveness of the content. His meticulous attention to detail and commitment to clarity are instrumental in transforming complex embedded concepts into easily digestible and engaging learning experiences. At Embedded Prep, he plays a crucial role in building a robust knowledge base that helps learners master the complexities of embedded technologies.
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