Data Structure Lecture 4
Upcoming SlideShare
Loading in...5

Data Structure Lecture 4



This is about queues.

This is about queues.



Total Views
Views on SlideShare
Embed Views



0 Embeds 0

No embeds



Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
Post Comment
Edit your comment

Data Structure Lecture 4 Data Structure Lecture 4 Presentation Transcript

  • Data StructuresQueues
  • Problem to be SolvedIt is so often necessary to wait one’s turn before havingaccess to something.We may want to simulate a real life situation of a waitingline, like– A line of people waiting to purchase tickets, where the first person in line is the first person served.With in a computer system there may be lines of tasks– Waiting for the printer– Waiting for access to disk storage
  • QueueWe define a queue to be a list in which– All additions to the list are made at one end, and– All deletions from the list are made at the other endQueues are also called first-in, first-out lists, or FIFOfor short.The entry in a queue ready to be served, will be– the first entry that will be removed from the queue,– We call this the front of the queue.
  • QueueInsertion (enqueue) occurs at the front location ofa queue.Deletion (dequeue) occurs at the rear location ofa queueThe general queue model is Queue Q Dequeue( ) Enqueue (x)
  • Queue
  • Queue OperationsThe following operations are needed to properlymanage a queue.clear() - Clear the queue.isEmpty() – Check to see if the queue is empty.isFull() – Check to see if the queue is fullenqueue(el) – Put the element el at the end of thequeue.dequeue() – Take the first element from the queue.
  • Queue OperationsAssume an initially empty queue and followingsequence of insertions and deletions:
  • Queue Operations
  • Implementations of Queues1. The Physical Model: implement a queue by using an array. We must keep track of both the front and the rear of the queue. One method would be to keep the front of the queue always in the first location of the array. An entry could be appended to the queue simply by increasing the counter showing the rear. 10 12 7 Delete an entry pointer by the front, but after the fist entry was served, all the remaining entries would need to be moved one position up the queue to fill in the vacancy, which would be an expensive process. 12 7
  • Implementations of Queues2. Linear Implementation In this implementation an array with two indices will be used. One index indicates front of queue and second index indicates rear of queue. using front and rear indices there is no need of moving any entries. To enqueue an entry to the queue, we simply increase the rear by one and put the entry in that position 12 7 12 7 8 To dequeue an entry, we take it from the position at the front and then increase the front by one. 7 8
  • Implementations of QueuesDisadvantage of Linear Implementation:Both the front and rear indices are increased but neverdecreased.therefore an unbounded amount of storage will beneeded for the queue.Advantage of Linear Implementation:This method is helpful in the situations where queue isregularly emptied.A series of requests is allowed to build up to a certain point,and then a task is initiated that clears all the requests beforereturning.At a time when the queue is empty, the front and rear canboth be reset to the beginning of the array.
  • Implementations of Queues3. Circular Arrays In concept, We can overcome the disadvantage of linear implementation by thinking of the array as a circle rather than a straight line. As entries are added and removed from the queue, the head will continually chase the tail around the array. To implement a circular array as an ordinary array, we think of the positions around the circle as numbered from 0 to MAX-1, where MAX is the total number of entries in the array. Moving the indices is just the same as doing modular arithmetic. When we increase an index past MAX-1, we start over again at 0. E.g. if we add four hours to ten o`clock, we obtain two o`clock. 7 8 9 12 7 8 9
  • Implementations of Queueswe can increase an index i by 1 in a circular array bywriting if(i >= MAX-1) i = 0; else i++;We can also do this by using % operator i = (i+1) %MAX;
  • Implementations of QueuesBoundary Conditions in Circular Queue:Boundary conditions are indicators that a queueis empty or full.if there is exactly one entry in the queue, thenthe front index will equal the rear index. 7
  • Implementations of QueuesWhen this one entry is removed, then the frontwill be increased by 1, so that an empty queue isindicated when the rear is one position beforethe front.Now suppose that queue is nearly full. Then therear will have moved well away from the front, allthe way around the circle. Queue with one 7 8 9 empty position
  • Implementations of QueuesWhen the array is full the rear will be exactly oneposition before the front. Full Queue 7 12 8 9Now we have another difficulty: the front and rearindices are in exactly the same relative positionsfor an empty queue and full queue. Empty Queue
  • Implementations of Queues : Static One possible queue implementation is an array. Elements are added to the end of the queue, but They may be removed from its beginning, thereby releasing array cells. These cells should not be wasted. Therefore, They are utilized to enqueue new elements, Whereby the end of the queue may occur at the beginning of the array. firs last This situation is pictured in following figure 4 8 The queue is full if the first element 2immediately precedes in the 6counterclockwise direction the last element. 10 11 15
  • Implementations of Queues : StaticHowever, because a circular array is implemented with a“normal” array,The queue is full if either the – First element is in the first cell and the last element is in the last cell. first last 4 2 15 11 10 6 8 – or if the first element is right after the last last first 10 6 8 4 2 15 11
  • Implementations of Queues : Static Similarly, enqueue() and dequeue() have to consider the possibility of wrapping around the array when adding or removing elements. E.g. enqueue() can be viewed as operating on a circular array, but in reality, it is operating on a one dimensional array. Therefore, If the last element is in the last cell and if any cells are available at the beginning of the array,a new element is placed there. first last last first enqueue(6) 2 4 8 6 2 4 8
  • Implementations of Queues : Static If the last element is in any other position, then the new element is put after the last, space permitting.first last first last enqueue(6) 2 4 8 2 4 8 6 These two situations must be distinguished when implementing a queue viewed as a circular array. first first 2 2 enqueue(6) 4 4 8 8 6 last last
  • Implementations of Queues : Statictemplate<class T, int size = 100>class ArrayQueue { public: ArrayQueue() { InRef = OutRef = -1; } void enqueue(T); T dequeue(); bool isFull() { return OutRef == 0 && InRef == size-1 || OutRef == InRef + 1; } bool is Empty() { return OutRef == -1; } private: int InRef, OutRef; T storage[size];};
  • Insert Element in a Queue : Staticvoid template<class T, int size > ArrayQueue<T, size> :: enqueue(T el) { if(!isFull()) if(InRef == size –1 || InRef == -1) { storage[0] = el; InRef = 0; if(OutRef == -1) OutRef = 0; } else storage[++InRef] = el; else cout << “Full queue. n”;}
  • Remove Element From a QueueT template<class T, int size > ArrayQueue<T, size> :: dequeue(){ T tmp; if(!isempty()) { tmp = storage[OutRef]; if(InRef == OutRef) InRef = OutRef = -1; else if (OutRef== size – 1) OutRef = 0; else OutRef++; return tmp; } else cout<<“queue is empty”;