Circular queue is a linear data structure that follows the First In First Out principle. A re-buffering problem often occurs for each dequeue operation in a standard queue data structure. This is solved by using a circular queue which joins the front and rear ends of a queue.
5 data input lines and 5 data output lines
when i need to see table relationships and sort data by custom fields
These are devices used to enter data data directly from its source without the need for key entry methods. This saves time and eliminates errors.
There are many sorts of input devices and devices to read and write from internal storage, you need to be more specific with your question and tell us what data it is that you are tying to read.
Processor / bus frequency has no direct correlation to bandwidth.
What is the difference between linear and circular queue? In: http://wiki.answers.com/Q/FAQ/2545-37 [Edit categories]The Queue by Default is Linear, it would be termed as Circular if the Last Element of the Queue pointsto the first element of the List
Explain the need for complex data structures
cicular queue :D if you want to implement the round robin you need the data structure of circular queue so that when we give the time quantum for the processes then if that process is complete in that time period then its ok but if not then we have to put that process in the queue so that all other processes are also get the time to execute i.e. to remove starvation
Circular queue have less memory consuption as compared to linear queue because while doing insertion after deletion operation it allocate an extra space the first remaining vacant but in circular queue the first is used as it comes immediate after the last.
A singly-linked circular list is useful for implementing queue data structures with minimum overhead. Normally we implement a queue with two pointers: one to the tail for insertions and one to the head for extractions. With a circular list we only need to maintain a single pointer to the tail because the tail always points "forwards" to the head (instead of null as it normally would), thus achieving constant-time access to both the head and tail via a single pointer. Circular linked lists are generally useful wherever "wraparound" is necessary. That is, from any given node in the list, we can traverse forwards with the guarantee that we will eventually arrive back at that same node. With doubly-linked circular lists we have the advantage of traversing in either direction (bi-directional traversal).
Data structures has been implemented in Java language already, you just need to import it and start using it. Data Structures are located in Java.util packages.ArrayArraylistVectorHashMapHashTableLinkedListStackQueueCollection this are the few I know.Thanks,Anandkumar.R
#include<iostream.h> class node { public: int data; node* link; }; class queue { node* front; node* back; public: queue() { front=NULL; back=NULL; } void enqueue(int d) { node* ptr; ptr=new node; ptr->data=d; ptr->link=NULL; if(front==NULL) { front=ptr; back=ptr; } else { back->link=ptr; back=back->link; } } void dequeue() { node* ptr; ptr=front; if(front==NULL) cout<<"\n Nothing can be deleted. \n"; else { ptr=front; front=front->link; delete ptr; ptr=NULL; cout<<"\n The first element has been deleted.\n"; Front(); } } void If_Empty() { if(front==NULL) cout<<"\n The queue is empty.\n "; } void Front() { if(front!=NULL) cout<<"\n The first element is "<<front->data<<endl; } }; void main() { queue q; int data; char opt; do { cout<<" Enter your data:\t"; cin>>data; q.enqueue(data); cout<<"\n Do you want to continue:\t"; cin>>opt; }while(opt=='y'opt=='Y'); q.Front(); q.dequeue(); q.If_Empty(); q.dequeue(); q.dequeue(); q.If_Empty(); q.dequeue(); }
Both linear and circular queues are constructed from nodes: struct node { T data; // the node's value (of type T) node* next; // refers to the next node in the sequence }; To implement a queue efficiently, we need to keep track of both the front and back of the queue. This is because all insertions occur at the back of the queue while all extractions occur at the front of the queue, and both operations must be performed in constant time. struct queue { node* head; // refers to the front of the queue node* tail; // refers to the back of the queue }; Initially, the queue is empty, so both the head and tail must be set to NULL. We use the following function to insert some data at the back of the queue: node* push (queue* q, T value) { node* n = malloc (sizeof (node)); n->data = value; n->next = NULL; if (q->tail == NULL) { q->head = n; q->tail = n; } else { q->tail->next = n; q->tail = n; } return n; } The following function extracts the head node: void pop (queue* q) { node* n = q->head; if (q->head) { q->head = q->head->next; // may be NULL if (!q->head) q->tail = NULL; } free n; } In a circular queue, we don't need to keep track of the head because tail->next always points to the head unless tail is NULL. So we can eliminate the head pointer from the queue structure: struct queue { node* tail; }; The insertion function therefore changes as follows: node* push (queue* q, T value) { node* n = malloc (sizeof (node)); n->data = value; if (q->tail == NULL) { n->next = n; q->tail = n; } else { n->next = q->tail->next; q->tail->next = n; q->tail = n; } return n; } And the extraction function changes as follows: void pop (queue* q) { if (q->tail == NULL) return; // empty list node* n = q->tail; if (q->tail == q->tail->next) // a list of one q->tail = NULL; else q->tail->next = q->tail->next->next; // adjust the head free n; }
To convert the non-Markovain queue into Markovian queue.
Priority queues can be found in operating systems for load-balancing and interrupt handling, network servers for bandwidth management, compression algorithms (such as Huffman encoding), Dijkstra's algorithm, Prim's algorithm and artificial intelligence systems.
You need to indicate what queue you are talking about, since several queues could be considered the "wait queue".
It depends on what you intend to do with the data. The assumption is the data is dynamic, the number of elements are not known in advance. Binary trees are best if you want to sort the data as it is entered. Linked lists are best if you simply want a list of sequential data, or need to implement a stack or a queue.