Queues
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When using a linked list, items are added to the rear and removed from the front, so we need both front and rear pointers. Also note that similar to a stack, the operations on a queue are constant. | When using a linked list, items are added to the rear and removed from the front, so we need both front and rear pointers. Also note that similar to a stack, the operations on a queue are constant. | ||
<br/><br/> | <br/><br/> | ||
+ | <div class="interface" style="background-color: #FFFFEE; border: solid 1px #FFC92E; padding: 1em; width:80%" title="Queue<item-type> Operations"> | ||
+ | '''<code>Queue<item-type></code> Operations''' | ||
+ | <dl> | ||
+ | <dt style="font-weight:normal"><code>'''enqueue'''(<var>new-item</var>:item-type)</code> | ||
+ | <dd>Adds an item onto the end of the queue. | ||
+ | <dt style="font-weight:normal"><code>'''front'''():item-type</code> | ||
+ | <dd>Returns the item at the front of the queue. | ||
+ | <dt style="font-weight:normal"><code>'''dequeue'''()</code> | ||
+ | <dd>Removes the item from the front of the queue. | ||
+ | <dt style="font-weight:normal"><code>'''is-empty'''():Boolean</code> | ||
+ | <dd>True if no more items can be dequeued and there is no front item. | ||
+ | <dt style="font-weight:normal"><code>'''is-full'''():Boolean</code> | ||
+ | <dd>True if no more items can be enqueued. | ||
+ | <dt style="font-weight:normal"><code>'''get-size'''():Integer</code> | ||
+ | <dd>Returns the number of elements in the queue. | ||
+ | </dl> | ||
+ | |||
+ | All operations except <code>get-size()</code> can be performed in <math>O(1)</math> time. <code>get-size()</code> runs in at worst <math>O(N).</math> | ||
+ | </div> | ||
+ | |||
+ | |||
+ | ==== Linked List Implementation ==== | ||
+ | The basic linked list implementation uses a singly-linked list with a tail pointer to keep track of the back of the queue. | ||
+ | type Queue<item_type> | ||
+ | data list:Singly Linked List<item_type> | ||
+ | data tail:List Iterator<item_type> | ||
+ | |||
+ | constructor() | ||
+ | list := new Singly-Linked-List() | ||
+ | tail := list.get-begin() # null | ||
+ | end constructor | ||
+ | |||
+ | When you want to '''enqueue''' something, you simply add it to the back of the item pointed to by the tail pointer. So the previous tail is considered next compared to the item being added and the tail pointer points to the new item. If the list was empty, this doesn't work, since the tail iterator doesn't refer to anything | ||
+ | method enqueue(new_item:item_type) | ||
+ | if is-empty() | ||
+ | list.prepend(new_item) | ||
+ | tail := list.get-begin() | ||
+ | else | ||
+ | list.insert_after(new_item, tail) | ||
+ | tail.move-next() | ||
+ | end if | ||
+ | end method | ||
+ | |||
+ | The '''front''' item on the queue is just the one referred to by the linked list's head pointer | ||
+ | method front():item_type | ||
+ | return list.get-begin().get-value() | ||
+ | end method | ||
+ | |||
+ | When you want to '''dequeue''' something off the list, simply point the head pointer to the previous from head item. The old head item is the one you removed of the list. If the list is now empty, we have to fix the tail iterator. | ||
+ | method dequeue() | ||
+ | list.remove-first() | ||
+ | if is-empty() | ||
+ | tail := list.get-begin() | ||
+ | end if | ||
+ | end method | ||
+ | |||
+ | A check for emptiness is easy. Just check if the list is empty. | ||
+ | method is-empty():Boolean | ||
+ | return list.is-empty() | ||
+ | end method | ||
+ | |||
+ | A check for full is simple. Linked lists are considered to be limitless in size. | ||
+ | method is-full():Boolean | ||
+ | return False | ||
+ | end method | ||
+ | |||
+ | A check for the size is again passed through to the list. | ||
+ | method get-size():Integer | ||
+ | return list.get-size() | ||
+ | end method | ||
+ | end type | ||
+ | |||
+ | |||
==Deque== | ==Deque== | ||
A deque is a double-ended queue. This means that we can add or remove items from either end. The operations we need are addToFront(), addToBack(), removeFront(), removeBack(), peekFront(), peekBack(), isFull(), isEmpty(). | A deque is a double-ended queue. This means that we can add or remove items from either end. The operations we need are addToFront(), addToBack(), removeFront(), removeBack(), peekFront(), peekBack(), isFull(), isEmpty(). |
Revision as of 21:05, 9 April 2009
← Stacks | ↑ Contents: CS2 | Lists → |
A queue is another basic data structure that is normally homogeneous data. It is similar to a stack except it operates using a FIFO (First In, First Out) ordering. A queue is another way of expressing a line. The standard operations on a queue are enqueue(), dequeue(), peek(), and isEmpty().
Similar to a stack, a queue can be implemented either by an array or a linked list. When implemented using an array, it is normally implemented as a circular list (circular array). Items are added at the rear and removed from the front—in the same manner as a list. And, just like a list, we need an isFull() operation when using an array.
When using a linked list, items are added to the rear and removed from the front, so we need both front and rear pointers. Also note that similar to a stack, the operations on a queue are constant.
Queue<item-type>
Operations
enqueue(new-item:item-type)
- Adds an item onto the end of the queue.
front():item-type
- Returns the item at the front of the queue.
dequeue()
- Removes the item from the front of the queue.
is-empty():Boolean
- True if no more items can be dequeued and there is no front item.
is-full():Boolean
- True if no more items can be enqueued.
get-size():Integer
- Returns the number of elements in the queue.
All operations except get-size()
can be performed in O(1) time. get-size()
runs in at worst O(N).
Linked List Implementation
The basic linked list implementation uses a singly-linked list with a tail pointer to keep track of the back of the queue.
type Queue<item_type> data list:Singly Linked List<item_type> data tail:List Iterator<item_type> constructor() list := new Singly-Linked-List() tail := list.get-begin() # null end constructor
When you want to enqueue something, you simply add it to the back of the item pointed to by the tail pointer. So the previous tail is considered next compared to the item being added and the tail pointer points to the new item. If the list was empty, this doesn't work, since the tail iterator doesn't refer to anything
method enqueue(new_item:item_type) if is-empty() list.prepend(new_item) tail := list.get-begin() else list.insert_after(new_item, tail) tail.move-next() end if end method
The front item on the queue is just the one referred to by the linked list's head pointer
method front():item_type return list.get-begin().get-value() end method
When you want to dequeue something off the list, simply point the head pointer to the previous from head item. The old head item is the one you removed of the list. If the list is now empty, we have to fix the tail iterator.
method dequeue() list.remove-first() if is-empty() tail := list.get-begin() end if end method
A check for emptiness is easy. Just check if the list is empty.
method is-empty():Boolean return list.is-empty() end method
A check for full is simple. Linked lists are considered to be limitless in size.
method is-full():Boolean return False end method
A check for the size is again passed through to the list.
method get-size():Integer return list.get-size() end method end type
Deque
A deque is a double-ended queue. This means that we can add or remove items from either end. The operations we need are addToFront(), addToBack(), removeFront(), removeBack(), peekFront(), peekBack(), isFull(), isEmpty().
Priority Queue
A priority queue is a standard queue, but the elements have a priority. When an item is entered into the queue, it moves up in the queue until it encounters an item of equal or greater priority. This is its position in the queue.
When implementing a priority queue, it is often implemented as a linked list. If I am adding items to the back of the list, and removing items from the head of the list, a priority queue is best implemented as a doubly linked list. In this case, we would do the following.
Adding an item to a priority queue that is a doubly linked list:
Let Temp be a node pointer that points to a new list node. Assume a list node has a field called priority. If Rear is null, the list is empty. So, set Front and Rear of the head node to the value of Temp. If Rear is not null, there is at least one node in the list. If Temp.priority <= Rear.priority, then add Temp to the end of the list Set Rear.next to Temp. Set Temp.previous to Rear Set Rear to Temp Else let P be a node pointer let P = Rear EndIf While P is not null and Temp.priority > P.priority Let P = P.previous If P is not null, then P has stopped at a node whose priority is greater or equal to that of Temp. Temp is to be inserted after the node pointed to by P. Let Temp.previous = P Let Temp.next = P.next Let P.next.previous = Temp Let P.next = Temp If P is null, then the node pointed to by Temp goes at the head of the list. Let Front.previous = Temp Let Temp.next = Front Let Front = Temp
When using a singly linked list, it becomes a little more difficult:
If Front is null, the list is empty, so Let Front = Temp If Front is not null, the list has at least one node in it If Temp.priority > Front.priority, then Temp goes in the front of the list Set Temp.next to Front Set Front to Temp. Set Rear to Temp. Else let P = Front While P.next is not null and P.next.priority >= Temp.priority Let P = P.next EndWhile If P.next is null, then Temp goes at the end of the list Set P.next to Temp Set Rear to Temp Else Temp goes after the node pointed to by P Set Temp.next to P. EndElse EndElse EndIf
CS2: Data Structures
Theory of Computation - ADT Preliminaries
Linear ADTs - Tree ADTs - Graph ADTs - Unordered Collection ADTs