- DSA - Home
- DSA - Overview
- DSA - Environment Setup
- DSA - Algorithms Basics
- DSA - Asymptotic Analysis
- Data Structures
- DSA - Data Structure Basics
- DSA - Data Structures and Types
- DSA - Array Data Structure
- DSA - Skip List Data Structure
- Linked Lists
- DSA - Linked List Data Structure
- DSA - Doubly Linked List Data Structure
- DSA - Circular Linked List Data Structure
- Stack & Queue
- DSA - Stack Data Structure
- DSA - Expression Parsing
- DSA - Queue Data Structure
- DSA - Circular Queue Data Structure
- DSA - Priority Queue Data Structure
- DSA - Deque Data Structure
- Searching Algorithms
- DSA - Searching Algorithms
- DSA - Linear Search Algorithm
- DSA - Binary Search Algorithm
- DSA - Interpolation Search
- DSA - Jump Search Algorithm
- DSA - Exponential Search
- DSA - Fibonacci Search
- DSA - Sublist Search
- DSA - Hash Table
- Sorting Algorithms
- DSA - Sorting Algorithms
- DSA - Bubble Sort Algorithm
- DSA - Insertion Sort Algorithm
- DSA - Selection Sort Algorithm
- DSA - Merge Sort Algorithm
- DSA - Shell Sort Algorithm
- DSA - Heap Sort Algorithm
- DSA - Bucket Sort Algorithm
- DSA - Counting Sort Algorithm
- DSA - Radix Sort Algorithm
- DSA - Quick Sort Algorithm
- Matrices Data Structure
- DSA - Matrices Data Structure
- DSA - Lup Decomposition In Matrices
- DSA - Lu Decomposition In Matrices
- Graph Data Structure
- DSA - Graph Data Structure
- DSA - Depth First Traversal
- DSA - Breadth First Traversal
- DSA - Spanning Tree
- DSA - Topological Sorting
- DSA - Strongly Connected Components
- DSA - Biconnected Components
- DSA - Augmenting Path
- DSA - Network Flow Problems
- DSA - Flow Networks In Data Structures
- DSA - Edmonds Blossom Algorithm
- DSA - Maxflow Mincut Theorem
- Tree Data Structure
- DSA - Tree Data Structure
- DSA - Tree Traversal
- DSA - Binary Search Tree
- DSA - AVL Tree
- DSA - Red Black Trees
- DSA - B Trees
- DSA - B+ Trees
- DSA - Splay Trees
- DSA - Range Queries
- DSA - Segment Trees
- DSA - Fenwick Tree
- DSA - Fusion Tree
- DSA - Hashed Array Tree
- DSA - K-Ary Tree
- DSA - Kd Trees
- DSA - Priority Search Tree Data Structure
- Recursion
- DSA - Recursion Algorithms
- DSA - Tower of Hanoi Using Recursion
- DSA - Fibonacci Series Using Recursion
- Divide and Conquer
- DSA - Divide and Conquer
- DSA - Max-Min Problem
- DSA - Strassen's Matrix Multiplication
- DSA - Karatsuba Algorithm
- Greedy Algorithms
- DSA - Greedy Algorithms
- DSA - Travelling Salesman Problem (Greedy Approach)
- DSA - Prim's Minimal Spanning Tree
- DSA - Kruskal's Minimal Spanning Tree
- DSA - Dijkstra's Shortest Path Algorithm
- DSA - Map Colouring Algorithm
- DSA - Fractional Knapsack Problem
- DSA - Job Sequencing with Deadline
- DSA - Optimal Merge Pattern Algorithm
- Dynamic Programming
- DSA - Dynamic Programming
- DSA - Matrix Chain Multiplication
- DSA - Floyd Warshall Algorithm
- DSA - 0-1 Knapsack Problem
- DSA - Longest Common Sub-sequence Algorithm
- DSA - Travelling Salesman Problem (Dynamic Approach)
- Hashing
- DSA - Hashing Data Structure
- DSA - Collision In Hashing
- Disjoint Set
- DSA - Disjoint Set
- DSA - Path Compression And Union By Rank
- Heap
- DSA - Heap Data Structure
- DSA - Binary Heap
- DSA - Binomial Heap
- DSA - Fibonacci Heap
- Tries Data Structure
- DSA - Tries
- DSA - Standard Tries
- DSA - Compressed Tries
- DSA - Suffix Tries
- Treaps
- DSA - Treaps Data Structure
- Bit Mask
- DSA - Bit Mask In Data Structures
- Bloom Filter
- DSA - Bloom Filter Data Structure
- Approximation Algorithms
- DSA - Approximation Algorithms
- DSA - Vertex Cover Algorithm
- DSA - Set Cover Problem
- DSA - Travelling Salesman Problem (Approximation Approach)
- Randomized Algorithms
- DSA - Randomized Algorithms
- DSA - Randomized Quick Sort Algorithm
- DSA - Karger’s Minimum Cut Algorithm
- DSA - Fisher-Yates Shuffle Algorithm
- Miscellaneous
- DSA - Infix to Postfix
- DSA - Bellmon Ford Shortest Path
- DSA - Maximum Bipartite Matching
- DSA Useful Resources
- DSA - Questions and Answers
- DSA - Selection Sort Interview Questions
- DSA - Merge Sort Interview Questions
- DSA - Insertion Sort Interview Questions
- DSA - Heap Sort Interview Questions
- DSA - Bubble Sort Interview Questions
- DSA - Bucket Sort Interview Questions
- DSA - Radix Sort Interview Questions
- DSA - Cycle Sort Interview Questions
- DSA - Quick Guide
- DSA - Useful Resources
- DSA - Discussion
Circular Linked List Program in C++
C++ Implementation
#include <iostream>
#include <cstring>
#include <cstdlib>
#include <cstdbool>
using namespace std;
struct node {
int data;
int key;
struct node *next;
};
struct node *head = NULL;
struct node *current = NULL;
bool isEmpty(){
return head == NULL;
}
int length(){
int length = 0;
//if list is empty
if(head == NULL) {
return 0;
}
current = head->next;
while(current != head) {
length++;
current = current->next;
}
return length;
}
//insert link at the first location
void insertFirst(int key, int data){
//create a link
struct node *link = (struct node*) malloc(sizeof(struct node));
link->key = key;
link->data = data;
if (isEmpty()) {
head = link;
head->next = head;
} else {
//point it to old first node
link->next = head;
//point first to new first node
head = link;
}
}
//delete first item
struct node * deleteFirst(){
//save reference to first link
struct node *tempLink = head;
if(head->next == head) {
head = NULL;
return tempLink;
}
//mark next to first link as first
head = head->next;
//return the deleted link
return tempLink;
}
//display the list
void printList(){
struct node *ptr = head;
cout << "\n[ ";
//start from the beginning
if(head != NULL) {
while(ptr->next != ptr) {
cout << "(" << ptr->key << "," << ptr->data << ") ";
ptr = ptr->next;
}
}
cout << " ]";
}
int main(){
insertFirst(1,10);
insertFirst(2,20);
insertFirst(3,30);
insertFirst(4,1);
insertFirst(5,40);
insertFirst(6,56);
cout << "Original List: ";
//print list
printList();
while(!isEmpty()) {
struct node *temp = deleteFirst();
cout << "\n Deleted value:";
cout << "(" << temp->key << "," << temp->data << ") ";
}
cout << "\n List after deleting all items: ";
printList();
return 0;
}
Output
On executing the above code, the output is obtained as follows −
Original List: [ (6,56) (5,40) (4,1) (3,30) (2,20) ] Deleted value:(6,56) Deleted value:(5,40) Deleted value:(4,1) Deleted value:(3,30) Deleted value:(2,20) Deleted value:(1,10) List after deleting all items: [ ]
Advertisements