computer notes - Data Structures - 9
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The document discusses data structures like stacks and queues. It provides examples of implementing a queue using both a linked list and an array. It describes how a queue is a FIFO structure where elements are inserted at the rear and removed from the front. It also discusses some uses of queues, providing a bank simulation as an example where a queue models customers waiting to be served by tellers.
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Computer notes data structures - 9
The document discusses data structures like stacks and queues. It provides examples of implementing queues using linked lists and arrays. Queues follow a First-In First-Out (FIFO) approach, with operations like enqueue to add an item at the rear and dequeue to remove an item from the front. Queues have various uses like simulations, with an example given of simulating customers at a bank with multiple tellers.
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The document discusses priority queues implemented using heaps. It describes a PriorityQueue class that uses a Heap to store Event objects. The PriorityQueue allows inserting new Events into the heap if not full, and removing the minimum Event from the heap. It also provides methods to check if the queue is full and get the queue length. Finding the k-th smallest element from a list using a heap is also discussed.
computer notes - Data Structures - 24
The document discusses Huffman encoding, which is a method for data compression of text documents. It uses a binary tree to assign variable-length codes to each letter in the original message, with more frequent letters receiving shorter codes. This allows the message to be compressed by encoding it with the Huffman codes rather than standard 8-bit ASCII codes. The algorithm works by first listing each unique letter and its frequency, and then combining the two least frequent letters into a node, repeating this process until a full binary tree is constructed with a single root node.
computer notes - Data Structures - 19
The document discusses various aspects of balanced binary search trees, including:
1) Const keyword can be used to mark parameters and return values as constant to prevent unintended modification.
2) AVL trees are binary search trees where the heights of left and right subtrees differ by at most 1.
3) For a binary search tree to be balanced, the heights of left and right subtrees should be close to equal to avoid a skewed or degenerate tree structure.
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Using NetBeansImplement a queue named QueueLL using a Linked List .pdf
Using NetBeans
Implement a queue named QueueLL using a Linked List (same as we did for the stack). This
implementation must be used in all the following problems.
Implement a queue QueueST using a stack (use StackLL).
Test your implementations in the main with examples.
Solution
Answer:-
import java.util.*;
/* Class Node */
class Node
{
protected int data;
protected Node link;
/* Constructor */
public Node()
{
link = null;
data = 0;
}
/* Constructor */
public Node(int d,Node n)
{
data = d;
link = n;
}
/* Function to set link to next Node */
public void setLink(Node n)
{
link = n;
}
/* Function to set data to current Node */
public void setData(int d)
{
data = d;
}
/* Function to get link to next node */
public Node getLink()
{
return link;
}
/* Function to get data from current Node */
public int getData()
{
return data;
}
}
/* Class linkedQueue */
class linkedQueue
{
protected Node front, rear;
public int size;
/* Constructor */
public linkedQueue()
{
front = null;
rear = null;
size = 0;
}
/* Function to check if queue is empty */
public boolean isEmpty()
{
return front == null;
}
/* Function to get the size of the queue */
public int getSize()
{
return size;
}
/* Function to insert an element to the queue */
public void insert(int data)
{
Node nptr = new Node(data, null);
if (rear == null)
{
front = nptr;
rear = nptr;
}
else
{
rear.setLink(nptr);
rear = rear.getLink();
}
size++ ;
}
/* Function to remove front element from the queue */
public int remove()
{
if (isEmpty() )
throw new NoSuchElementException(\"Underflow Exception\");
Node ptr = front;
front = ptr.getLink();
if (front == null)
rear = null;
size-- ;
return ptr.getData();
}
/* Function to check the front element of the queue */
public int peek()
{
if (isEmpty() )
throw new NoSuchElementException(\"Underflow Exception\");
return front.getData();
}
/* Function to display the status of the queue */
public void display()
{
System.out.print(\"\ Queue = \");
if (size == 0)
{
System.out.print(\"Empty\ \");
return ;
}
Node ptr = front;
while (ptr != rear.getLink() )
{
System.out.print(ptr.getData()+\" \");
ptr = ptr.getLink();
}
System.out.println();
}
}
/* Class LinkedQueueImplement */
public class LinkedQueueImplement
{
public static void main(String[] args)
{
Scanner scan = new Scanner(System.in);
/* Creating object of class linkedQueue */
linkedQueue lq = new linkedQueue();
/* Perform Queue Operations */
System.out.println(\"Linked Queue Test\ \");
char ch;
do
{
System.out.println(\"\ Queue Operations\");
System.out.println(\"1. insert\");
System.out.println(\"2. remove\");
System.out.println(\"3. peek\");
System.out.println(\"4. check empty\");
System.out.println(\"5. size\");
int choice = scan.nextInt();
switch (choice)
{
case 1 :
System.out.println(\"Enter integer element to insert\");
lq.insert( scan.nextInt() );
break;
case 2 :
try
{
System.out.println(\"Removed Element = \"+ lq.remove());
}
catch (Exception e)
{
System.out.println(\"Error : \" + e.getMessage());
}
break;
case 3 .
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In java , I want you to implement a Data Structure known as a Doubly-Ended-Queue. it is a
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A DEQUE (Doubly-ended-queue) is a related data structure. Although similar to a Queue, it
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Your implementation MUST use a doubly-linked-list implementation. You may not use a static
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Classes
Your program must implement the following 3 classes. public class dequeDriver
This class will contain your program’s main method. It will need to declare a deque object and
process input as indicated below.
Your program should prompt the user for the path of an input file. It should open the file for
input and process it line by line. Each line of the input file will have one of the following forms.
PR
IF
IR
DF
DR
The meanings of each input is as follows:
PR - print the current contents of the deque from front to rear using the printDeque( ) method of
the deque object.
IF - insert the given int value into the front of the deque.
IR - insert the given int value into the rear of the deque.
DF - delete the front value from the deque.
DR – delete the rear element of the deque.
Below is an example input file that your program should be able to process.
PR
IF 4
IF 5
IF 6
IR 7
PR
DR
PR
DF
PR
The output for the input file shown above is :
EMPTY DEQUE
----- Front -----
6
5
4
7
----- Rear -----
----- Front -----
6
5
4
----- Rear -----
----- Front -----
5
4
----- Rear -----
public class dequeNode
This class will implement the linked nodes that will be used to implement the deque itself.
It should have the following protected data members.
protected dequeNode next; // next pointer to next node
protected dequeNode prev; // previous pointer to previous node
protected int val; // the integer value stored within the dequeNod.
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- 5. Queue Operations Enqueue(X) – place X at the rear of the queue. Dequeue() -- remove the front element and return it. Front() -- return front element without removing it. IsEmpty() -- return TRUE if queue is empty, FALSE otherwise http://ecomputernotes.com
- 10. Implementing Queue int dequeue() { int x = front->get(); Node* p = front; front = front->getNext(); delete p; return x; } void enqueue(int x) { Node* newNode = new Node(); newNode->set(x); newNode->setNext(NULL); rear->setNext(newNode); rear = newNode; } http://ecomputernotes.com
- 11. Implementing Queue int front() { return front->get(); } int isEmpty() { return ( front == NULL ); } http://ecomputernotes.com
- 13. Queue using Array front 2 5 7 1 rear 6 5 7 0 0 1 3 2 4 front 1 7 5 2 3 rear http://ecomputernotes.com
- 14. Queue using Array front 2 5 7 1 rear 6 5 7 0 0 1 3 2 4 front 1 7 5 2 4 rear enqueue(6) 6 6 http://ecomputernotes.com
- 15. Queue using Array front 2 5 7 1 rear 6 5 7 0 0 1 3 2 4 front 1 7 5 2 5 rear enqueue(8) 6 6 8 8 http://ecomputernotes.com
- 16. Queue using Array front 2 5 7 rear 6 5 7 1 0 1 3 2 4 front 7 5 2 5 rear dequeue() 6 6 8 8 http://ecomputernotes.com
- 17. Queue using Array front 2 5 rear 6 5 7 2 0 1 3 2 4 front 5 2 5 rear dequeue() 6 6 8 8 http://ecomputernotes.com
- 18. Queue using Array front 2 5 rear 6 5 7 2 0 1 3 2 4 front 5 2 7 rear enqueue(9) enqueue(12) 6 6 8 8 9 9 12 12 enqueue(21) ?? http://ecomputernotes.com
- 21. Queue using Array void enqueue(int x) { rear = (rear+1)%size; array[rear] = x; noElements = noElements+1; } front 2 5 rear 2 front 0 rear 6 8 9 12 6 5 7 0 1 3 2 4 5 2 6 8 9 12 enqueue(21) 21 21 8 size 7 noElements http://ecomputernotes.com
- 22. Queue using Array int isFull() { return noElements == size; } int isEmpty() { return noElements == 0; } front 2 5 rear 2 front 1 rear 6 8 9 12 6 5 7 0 1 3 2 4 5 2 6 8 9 12 enqueue(7) 21 21 8 size 8 noElements 7 7 http://ecomputernotes.com
- 23. Queue using Array int dequeue() { int x = array[front]; front = (front+1)%size; noElements = noElements-1; return x; } front rear 4 front 1 rear 6 8 9 12 6 5 7 0 1 3 2 4 6 8 9 12 dequeue() 21 21 8 size 6 noElements 7 7 http://ecomputernotes.com
Editor's Notes
- End of lecture 8
- End of lecture 9