A queue is a linear collection whose elements are added on one end and removed from the other

Similar documents
Announcements Queues. Queues

Queue rear tail front head FIFO

LECTURE OBJECTIVES 6-2

CMSC 132: Object-Oriented Programming II. Stack and Queue

" Which data Structure to extend to create a heap? " Two binary tree extensions are needed in a heap. n it is a binary tree (a complete one)

COMP 213 Advanced Object-oriented Programming Lecture 8 The Queue ADT (cont.)

Priority Queue. How to implement a Priority Queue? queue. priority queue

CMSC 132, Object-Oriented Programming II Summer Lecture 9:

ECE Fall st Midterm Examination (120 Minutes, closed book)

CMPSCI 187: Programming With Data Structures. Lecture 12: Implementing Stacks With Linked Lists 5 October 2011

Lists. ordered lists unordered lists indexed lists 9-3

ITI Introduction to Computing II

Queues. Virtuelle Fachhochschule. Prof. Dr. Debora Weber-Wulff

Basic Data Structures

Basic Data Structures 1 / 24

CE204 Data Structures and Algorithms Part 2

Stacks. Stacks. Main stack operations. The ADT Stack stores arbitrary objects. Insertions and deletions follow the last-in first-out (LIFO) principle.

More Data Structures (Part 1) Stacks

Stacks and Queues as Collections

CSC 273 Data Structures

CS302 - Data Structures using C++

Linked Structures - Review Chapter 13. Instructor: Scott Kristjanson CMPT 125/125 SFU Burnaby, Fall 2013

CSC 1052 Algorithms & Data Structures II: Linked Queues

1.00 Lecture 26. Data Structures: Introduction Stacks. Reading for next time: Big Java: Data Structures

Insertions and removals follow the Fist-In First-Out rule: Insertions: at the rear of the queue Removals: at the front of the queue

Keeping Order:! Stacks, Queues, & Deques. Travis W. Peters Dartmouth College - CS 10

Stacks and Queues. EECS2030: Advanced Object Oriented Programming Fall 2017 CHEN-WEI WANG

Data Structure. Recitation VII

Stacks and Queues III

LIFO : Last In First Out

! Instan:a:ng a Group of Product objects. ! InstanEaEng a Group of Friend objects. ! CollecEons can be separated into two categories

CSE 143 SAMPLE MIDTERM

CSC 1052 Algorithms & Data Structures II: Queues

1/22/13. Queue? CS 200 Algorithms and Data Structures. Implementing Queue Comparison implementations. Photo by David Jump 9. Colorado State University

1/22/13. Queue. Create an empty queue Determine whether a queue is empty Add a new item to the queue

The Stack ADT. Stacks and Queues. Stack: Illustration. What is a Stack? Accessors top size isempty

Stacks and Queues

Queue? Part 4. Queues. Photo by David Jump. Create an empty queue Items leave a queue from its front.

Queues Fall 2018 Margaret Reid-Miller

CMP Points Total Midterm Spring Version (16 Points) Multiple Choice:

Stack and Queue. Stack:

Stack ADT. ! push(x) puts the element x on top of the stack! pop removes the topmost element from the stack.

Chapter 2. Stack & Queues. M hiwa ahmad aziz

CS350: Data Structures Stacks

THE UNIVERSITY OF WESTERN AUSTRALIA

ADVANCED DATA STRUCTURES USING C++ ( MT-CSE-110 )

.:: UNIT 4 ::. STACK AND QUEUE

Abstract Data Type: Stack

csci 210: Data Structures Stacks and Queues

CS24 Week 4 Lecture 2

Collections Chapter 12. Instructor: Scott Kristjanson CMPT 125/125 SFU Burnaby, Fall 2013

Queue: Queue Representation: Basic Operations:

Why Generic Types? Structured Code Reuse. Why Generic Types? Structured Code Reuse. Type parameters (generics) 10/17/14. Type parameter. Awkward.

A linear-list Data Structure where - addition of elements to and - removal of elements from are restricted to the first element of the list.

Lecture Data Structure Stack

CS 206 Introduction to Computer Science II


Interfaces & Generics

Please note that if you write the mid term in pencil, you will not be allowed to submit a remark request.

Stacks and Queues. David Greenstein Monta Vista

INFO1x05 Tutorial 6. Exercise 1: Heaps and Priority Queues

Ashish Gupta, Data JUET, Guna

Data Abstraction and Specification of ADTs

All the above operations should be preferably implemented in O(1) time. End of the Queue. Front of the Queue. End Enqueue

1 P age DS & OOPS / UNIT II

Linked Structures Chapter 13. Instructor: Scott Kristjanson CMPT 125/125 SFU Burnaby, Fall 2013

UNIT-2 Stack & Queue

CSEN 301 Data Structures and Algorithms

Name CPTR246 Spring '17 (100 total points) Exam 3

! A data type for which: ! An ADT may be implemented using various. ! Examples:

EXAMINATIONS 2012 Trimester 1, MID-TERM TEST. COMP103 Introduction to Data Structures and Algorithms SOLUTIONS

Queues. October 20, 2017 Hassan Khosravi / Geoffrey Tien 1

CS 206 Introduction to Computer Science II

CH ALGORITHM ANALYSIS CH6. STACKS, QUEUES, AND DEQUES

Abstract Data Types. Abstract Data Types

Data Structures and Object-Oriented Design III. Spring 2014 Carola Wenk

Week 6. Data structures

Searching and Sorting Chapter 18. Instructor: Scott Kristjanson CMPT 125/125 SFU Burnaby, Fall 2013

COSC160: Data Structures: Lists and Queues. Jeremy Bolton, PhD Assistant Teaching Professor

Chapter 18: Stacks And Queues

Lecture 3: Stacks & Queues

final int a = 10; for(int i=0;i<a;i+=2) { for(int j=i;j<a;j++) { System.out.print("*"); } System.out.println(); }

CSE 373 Data Structures and Algorithms. Lecture 2: Queues

Queues. Gaddis 18.4, Molly A. O'Neil CS 2308 :: Spring 2016

Queues. Stacks and Queues

CS200: Queues. Prichard Ch. 8. CS200 - Queues 1

1. Introduction. Lecture Content

Ch. 18: ADTs: Stacks and Queues. Abstract Data Type

Queue ADT. January 31, 2018 Cinda Heeren / Geoffrey Tien 1

CS 112 Introduction to Computing II. Wayne Snyder Computer Science Department Boston University

Chapter 18: Stacks And Queues. Pearson Education, Inc. Publishing as Pearson Addison-Wesley

Lists, Stacks and Queues in C. CHAN Hou Pong, Ken CSCI2100A Data Structures Tutorial 4

Queues. CITS2200 Data Structures and Algorithms. Topic 5

Unit 4: Stacks and Queues

Data Structure Advanced

Introduction to the Stack. Stacks and Queues. Stack Operations. Stack illustrated. elements of the same type. Week 9. Gaddis: Chapter 18

CS61B Spring 2016 Guerrilla Section 2 Worksheet

CS11001/CS11002 Programming and Data Structures (PDS) (Theory: 3-1-0)

data structures and algorithms lecture 6

Chapter 18: Stacks And Queues

Transcription:

A queue is consistent with the general concept of a waiting line to buy movie tickets a request to print a document crawling the web to retrieve documents Adding an element Removing an element A queue is a linear collection whose elements are added on one end and removed from the other Queue elements are processed in a first in, first out (FIFO) manner Elements are removed from the queue in the same order in which they are placed on the queue rear of queue front of queue - -

package javafoundations; public interface Queue<T> { //Adds element to rear of the queue public void enqueue (T element); //Removes and returns element at front of queue public T dequeue(); //Return reference to first element without removing public T first(); //Returns true if queue contains no elements public boolean isempty(); //Returns number of elements public int size(); //Returns string representation public String tostring(); A radix sort is unusual because it does not involve comparisons between elements! The technique used in the radix sort is based on the structure of the sort key Separate queues are created for each possible value of each digit or character of the sort key Radix = The number of queues, or the number of possible values if we were sorting strings made up of lowercase alphabetic characters, the radix would be 6, one for each possible character if we were sorting decimal numbers, then the radix would be, one for each digit to 9 The radix sort makes a pass through the values for each position in the sort key -6 Digit s position front of queue à Digit s position front of queue à Original list -7-8

Radix Sort Digit s position front of queue à for (int digitval = ; digitval <= 9; digitval++)//create q digitqueues[digitval] = new ArrayQueue<Integer>(); // sort the list that contains the numbers for (int position=; position <= ; position++){// -digit nums for (int scan = ; scan < list.length; scan++) { temp = String.valueOf (list[scan]); digit = Character.digit (temp.charat(-position), ); digitqueues[digit].enqueue (list[scan]); // gather numbers from the queues back into list num = ; for (int digitval = ; digitval <= 9; digitval++) { while (!(digitqueues[digitval].isempty())) { list[num] = digitqueues[digitval].dequeue().intvalue(); num++; -9 Adds a new element to the rear of the queue, which is stored at the high end of the array 6 7 package javafoundations; import javafoundations.exceptions.*; public class ArrayQueue<T> implements Queue<T> { private final int DEFAULT_CAPACITY = ; private int count; private T[] queue; Dequeue Left-shift A to correct queue A B C D E Enqueue E //Creates empty queue public ArrayQueue(){ count count = ; queue = (T[]) (new Object[DEFAULT_CAPACITY]);

public T dequeue() throws EmptyCollectionException { if (count == ) throw new EmptyCollectionException( Dequeue operation failed. + The queue is empty ); T result = queue[]; count--; //left shift the elements to keep the front at element for(int index = ; index < count; index++) queue[index] = queue[index+]; queue[count] = null; return result; //Left as programming projects: //public T first() throws EmtpyCollectionException{ //public void enqueue (T element){ //public boolean isempty(){ //public int size() { //public String tostring() { As elements are dequeued, the front of the queue will move further into the array As elements are enqueued, the rear of the queue will also move further into the array The challenge comes when the rear of the queue reaches the end of the array When this occurs, it wraps around to the front of the array Use two variables, front and rear, to represent the location where the first element is stored, and where the next available slot in the array is located (respectively) n- n 6 7 8 9 A D A B E C D A B E C D A E B C front rear 76 8 7 6 C B front 7 rear 8 count count D 6

//******************************************************************** // CircularArrayQueue.java Java Foundations // // Represents an array implementation of a queue in which neither // end of the queue is fixed in the array. The variables storing the // indexes of the front and rear of the queue continually increment // as elements are removed and added, cycling back to when they // reach the end of the array. //******************************************************************** package javafoundations; import javafoundations.exceptions.*; public class CircularArrayQueue<T> implements Queue<T> { private final int DEFAULT_CAPACITY = ; private int front, rear, count; private T[] queue; //----------------------------------------------------------------// Creates an empty queue using the default capacity. //----------------------------------------------------------------public CircularArrayQueue() { front = rear = count = ; queue = (T[]) (new Object[DEFAULT_CAPACITY]); //----------------------------------------------------------------// Adds the specified element to the rear of this queue, expanding // the capacity of the queue array if necessary. //----------------------------------------------------------------public void enqueue (T element) { if (count == queue.length) expandcapacity(); queue[rear] = element; rear = (rear+) % queue.length; count++; 7 //----------------------------------------------------------------// Creates a new array to store the contents of this queue with // twice the capacity of the old one. //----------------------------------------------------------------public void expandcapacity() { T[] larger = (T[])(new Object[queue.length*]); 8 rear front for (int index=; index < count; index++) larger[index] = queue[(front+index) % queue.length]; front = ; rear = count; queue = larger; A B C D //----------------------------------------------------------------// The following methods are left as Programming Projects. //----------------------------------------------------------------// public T dequeue () throws EmptyCollectionException { // public T first () throws EmptyCollectionException { // public int size() { // public boolean isempty() { // public String tostring() { 9 count -

//******************************************************************** // LinkedQueue.java Java Foundations // // Represents a linked implementation of a queue. //******************************************************************** package javafoundations; // Adds the specified element to the rear of this queue. public void enqueue (T element) { LinearNode<T> node = new LinearNode<T>(element); import javafoundations.exceptions.*; public class LinkedQueue<T> implements Queue<T> { private int count; private LinearNode<T> front, rear; // Creates an empty queue. public LinkedQueue() { count = ; front = rear = null; - if (count == ) front = node; else rear.setnext(node); rear = node; count++; // The following methods are left as Programming Projects. // public T dequeue () throws EmptyCollectionException { // public T first () throws EmptyCollectionException { // public boolean isempty() { // public int size() { // public String tostring() { - Both stacks and queues can be implemented very efficiently In almost all cases, the operations are not affected by the number of elements in the collection All operations for a stack (push, pop, peek, etc.) are O() Almost all operations for a queue are O() The only exception is the dequeue operation for the ArrayQueue implementation the shifting of elements makes it O(n) The dequeue operation for the CircularArrayQueue is O() because of the ability to eliminate the shifting of elements -