//posted by Mr. VINOD KUMAR HOODA from HISAR, HARYANA
#include<stdio.h>
#include<conio.h>
void insert(int);
int delet(int);
void display(void);
void run(void);
void checkf(int z);
void checke(void);
int size=5;
int rear=-1;
int front=-1;
int queue[5]={55,66,77};
void main()
{
front+=1;
rear+=3;
int n;
int op;
printf("current queue is:");
display();
printf("\nPress:");
printf("\n1: for insertion of an element into the queue");
printf("\n2: for deletion of an element from the queue");
printf("\n3: check for full queue");
printf("\n4: check for empty queue");
printf("\n5: for exit\n");
scanf("%d",&op);
switch(op)
{
case 1:insert(size);break;
case 2:delet(size);break;
case 3:checkf(size); break;
case 4:checke(); break;
case 5:exit(1); break;
default:printf("\nWrong operator");
}
getch();
}
void insert(int n)
{
int item;
if(front!=-1&&rear!=n)
{
printf("\nEnter the item to be inserted");
scanf("%d",&item);
queue[rear+1]=item;
}
else
{
printf("\ncan not be inserted\n");
}
display();
}
int delet(int n)
{
printf("\ndeleted from queue\n");
if(front!=-1 && front!=rear)
{ run();
display();
}
else if(front!=-1 && front==rear)
{ run();
front=front-1;
display();
}
else if(front==-1)
{ printf("\nQueue is empty"); }
}
void display(void)
{
int i;
printf("\nDisplaying Queue\n");
for(i=0;i<size;i++)
printf("%d ",queue[i]);
}
void run(void)
{ int m,temp;
for(m=front;m<=rear-1;m++)
{temp=queue[m];
queue[m]=queue[m+1];
}
for(m=rear;m<size;m++)
{ queue[m]=0; }
rear=rear-1;
}
void checkf(int z)
{ if(rear==z-1)
{ printf("Queue is Full \n");
}
else
{ printf("Queue is not Full, new values can be inserted. \n");
}
}
void checke(void)
{ if(front==-1)
{ printf("Queue is empty \n");
}
else
{ printf("Queue is not empty, new values can be deleted. \n");
}
}
The queue is a linear data structure where operations of insertion and deletion are performed at separate ends also known as front and rear. Queue is a FIFO structure that is first in first out. A circular queue is similar to the normal queue with the difference that queue is circular queue ; that is pointer rear can point to beginning of the queue when it reaches at the end of the queue. Advantage of this type of queue is that empty location let due to deletion of elements using front pointer can again be filled using rear pointer.
A double ended queue, or deque, is a queue in which you can access or modify both the head and the tail. The front pointer can be used for insertion (apart from its usual operation i.e. deletion) and rear pointer can be used for deletion (apart from its usual operation i.e. insertion)
In queue insertion takes place on rear end and deletion takes place on front end. INSERTION(QUEUE,N,FRONT,REAR,ITEM) :QUEUE is the name of a array on which we are implementing the queue having size N. view comlete ans at http://mcabcanotes.in/algorithm-to-perform-insertion-and-deletion-in-a-queue/
A double ended queue (or deque ) is a queue where insertion and deletion can be performed at both end that is front pointer can be used for insertion (apart from its usual operation i.e. deletion) and rear pointer can be used for deletion (apart from its usual operation i.e. insertion). So when we need to insert or delete at both end we need deque.
A queue is simply a FIFO i.e first in first out. In queue we've front and rear. Front is the initial or first location of the queue whereas rear indicates the last entry location in the queue. In the circular queue the location of front and rear will be the same IF the total space of the circular queue is utilized. Each element has its position no. for insertion , if we set the 5th element as the front element then after every insertion the ptr indicates the 5th element as front. in deletion, the fifth element is deleted every time it is the rear position. after deletion of an element the queue rotates and every time the rear indicates the 5th element of the circular queue. and every time the 5th location element is deleted.
To efficiently implement a circular array in Python, you can use the collections.deque data structure. Deque allows for efficient insertion and deletion at both ends of the array, making it suitable for circular arrays. You can use the rotate() method to shift elements in the array, effectively creating a circular structure.
The time complexity of operations in a doubly linked list is O(1) for insertion and deletion at the beginning or end of the list, and O(n) for insertion and deletion in the middle of the list.
The queue is a linear data structure where operations of insertion and deletion are performed at separate ends also known as front and rear. Queue is a FIFO structure that is first in first out. A circular queue is similar to the normal queue with the difference that queue is circular queue ; that is pointer rear can point to beginning of the queue when it reaches at the end of the queue. Advantage of this type of queue is that empty location let due to deletion of elements using front pointer can again be filled using rear pointer. A double ended queue (or deque ) is a queue where insertion and deletion can be performed at both end that is front pointer can be used for insertion (apart from its usual operation i.e. deletion) and rear pointer can be used for deletion (apart from its usual operation i.e. insertion)
The queue is a linear data structure where operations of insertion and deletion are performed at separate ends also known as front and rear. Queue is a FIFO structure that is first in first out. A circular queue is similar to the normal queue with the difference that queue is circular queue ; that is pointer rear can point to beginning of the queue when it reaches at the end of the queue. Advantage of this type of queue is that empty location let due to deletion of elements using front pointer can again be filled using rear pointer.
Data structures could be used to implement an efficient database. Linked lists for example will optimize insertion and deletion for ordered lists.
Data structures could be used to implement an efficient database. Linked lists for example will optimize insertion and deletion for ordered lists.
Deletion is nothing but eliminating and insertion is adding.
A minimum binary heap is a data structure where the parent node is smaller than its children nodes. The main operations of a minimum binary heap are insertion, deletion, and heapify. Insertion adds a new element to the heap, deletion removes the minimum element, and heapify maintains the heap property after an operation.
Here is a high-level overview of insertion and deletion operations in an AVL tree: Insertion: Perform a standard BST insertion. Update the height of each node as the new node is inserted. Perform rotations if the balance factor of any node becomes greater than 1 or less than -1. Deletion: Perform a standard BST deletion. Update the height of each node as the node is deleted. Perform rotations if the balance factor of any node becomes greater than 1 or less than -1 to rebalance the tree.
The time complexity of operations in a hashset data structure is typically O(1) for insertion, deletion, and search operations. This means that these operations have constant time complexity, regardless of the size of the hashset.
A double ended queue (or deque ) is a queue where insertion and deletion can be performed at both end that is front pointer can be used for insertion (apart from its usual operation i.e. deletion) and rear pointer can be used for deletion (apart from its usual operation i.e. insertion)
The three different types of mutation are substitution, insertion, and deletion. They differ because deletion is missing a base, insertion has a base that was added, and substitution has a base that has been replaced.