Chapter 2. Stack & Queues. M hiwa ahmad aziz

Size: px
Start display at page:

Download "Chapter 2. Stack & Queues. M hiwa ahmad aziz"

Transcription

1 . Chapter 2 Stack & Queues M hiwa ahmad aziz 1

2 Stack A stack structure with a series of data elements that Allows access to only the last item inserted. An item is inserted or removed from the stack from one end called the top of the stack. This mechanism is called Last-In-First-Out (LIFO). Adding a data item on the top is called pushing, while removing an item from the top is called popping it. push and pop are the primary stack operations. Top changed -1 to n and in first top=-1. 2

3 Stack If top=-1 stack is empty and if top=n -1stack is full 3

4 stk: Stack top = 3 or count = 4 If stack is represented by top = -1 or count = 0, then an empty stack To add (push) an element, either: Increment top and store the element in stk[top], or Store the element in stk[count-1] and increment count To remove (pop) an element, either: Get the element from stk[top] and decrement top, or Decrement count and get the element in stk[count-1] 4

5 Constructor Constructor in java is a special type of method that is used to initialize the object and field. Java constructor is invoked at the time of object creation. Rules for creating java constructor 1. Constructor name must be same as its class name 2. Constructor must have no explicit return type Types of java constructors 1. Default constructor (no-arg constructor) 2. Parameterized constructor 5

6 Constructor output Default Constructor 6

7 Constructor Constructor Main method 7

8 Push in Stack public void push(object item) { if(top==stack.length-1) { System.out.println("Stack is Full"); return; //end if stack[++top]=item; 8

9 Pop in Stack public object pop( int stk, int top) { /* return the top element from the stack */ if (top == -1) { System.out.println("Stack is Empty"); return null; return stk [top--]; 9

10 Peek and display and count public Object peek() { if (top == -1) { System.out.println("stack is empty"); return 0; return stack[top];. void count() { System.out.println(top + 1); public void display() { for (int i = top; i >= 0; i--) System.out.println(stack[i] + " "); 10

11 push& pop Example : implement the following operations in sequence from left to right by drawing shapes. Push(15), Push(7), Push(-12), pop(a), pop(b), Push(3) 11

12 Error checking There are two stack errors that can occur: Underflow: trying to pop (or peek at) an empty stack Overflow: trying to push onto an already full stack For underflow, you should throw an exception You could create your own, more informative exception For overflow, you could do the same things Or, you could check for the problem, and copy everything into a new, larger array 12

13 Sharing space Of course, the bottom of the stack could be at the other end stk: top = 6 or count = 4 Sometimes this is done to allow two stacks to share the same storage area. Stk1=n1, stk2= n2 Stks= n1 +n2 stks: topstk1 = 2 topstk2 = 6 13

14 Multiple stack But if more than two stack implemented in an array, The previous method is not applicable. In this case, for the production of n stack in the array S [1... m], n part of our array. For each stack i, b [i] to the lowest element and t [i] refers to the highest element, and if b [i] = t [i] is the i-th stack is empty. 14

15 Multiple stack Example : If the array S [ ] we want to create 4 stack,what is the address of the beginning of each stack? (Assuming the same stack size). t[1]=[495/4](1-1)+1=1 t[2]=[495/4](2-1)+1=124 t[3]=[495/4](3-1)+1=247 t[4]=[495/4](4-1)+1=370 15

16 implement a Stack package stackmethods; import java.util.arrays; class StackMethods { private int top; int size; int[] stack ; public StackMethods(int arraysize){ size=arraysize; stack= new int[size]; top=-1; public void push(int value){ if(top==size-1){ System.out.println("Stack is full, can't push a value"); else{ stack[++ top]=value; { public int pop(){ if(top==-1) System.out.println("Can't pop...stack is empty"); return stack[top - -]; public boolean isempty(){ return top==-1; public void display(){ for(int i=0;i<=top;i++){ System.out.print(stack[i]+ " "); System.out.println(); public static void main(string[] args) StackMethods newstack = new StackMethods(5); newstack.push(10); newstack.push(1); newstack.push(50); newstack.push(20); newstack.push(90); newstack.display(); newstack.pop(); newstack.pop(); newstack.pop(); newstack.pop(); newstack.display(); 16

17 Import java.util.stack The Stack ADT, as provided in java.util.stack: Stack(): the constructor boolean empty() (but also inherits isempty()) Object push(object item) Object peek() Object pop() int search(object o): Returns the 1-based position of the object on this stack 17

18 Other Implement a Stack package arraystack; import java.util.stack; public class ArrayStack { Object stack[]; int top; ArrayStack(int n){ stack=new Object[n]; top=-1; //end constrctor ArrayStack // public void push(object item){ if(top==stack.length-1){ // public Object peek(){ if(isempty()) return null; return stack[top]; //end peek // public boolean isempty(){ return (top==-1); //end isempty // public int size(){ return top+1; //end size // public void reversestring(){ System.out.println("size of stack= "+stk.size()); System.out.println("pop= "+stk.pop()); stk.push('e'); stk.push('f'); System.out.println("top of stack= "+stk.peek()); System.out.print("string after reverse: "); stk.reversestring(); System.out.println(); // TODO code application logic here System.out.println("Stack is Full"); return; //end if top++; stack[top]=item; //end push // public Object pop(){ { if(top==-1) // or can if(isempty()) System.out.println("Stack is Empty"); return null; //end if Object tmp=stack[top]; top--; return tmp; //end pop ArrayStack stk=new ArrayStack(6); String word="abcdef"; for(int i=0;i<word.length();i++) stk.push(word.charat(i)); while(!stk.isempty()) System.out.print(stk.pop()+" "); //end reversestring public static void main(string[] args) { ArrayStack stk=new ArrayStack(4); stk.push('a'); stk.push('b'); stk.push('c'); stk.push('d'); 18

19 application of stack Example: If the sequence numbers 1,2,3,4,5,6, respectively, from left to right stack Which of the following output of the stack is not possible. a) b) c) d) Input: 1, 3, 4, 5, d) a) b) c) d)

20 application of stack Example: the sequence numbers 1,2,3,4,5,6,7,8 respectively, from left to right stack. can the following output with push and pop. Answer : 20

21 Infix to Postfix & prefix Conversion The expression A + B * C + D can be rewritten as ((A + (B * C)) + D) to show that the multiplication happens first, followed by the leftmost addition. A + B * C + D can be written as (((A + B) *C) + D) since the addition operations associate from left parenthesis to prefix expression and right parenthesis to postfix expression. Example : postfix (A + (B * C)) = ABC*+ Prefix: (A + (B * C)) = +A*BC 21

22 Infix to Postfix & prefix Conversion Example: more complex expression: (A + B) * C - (D - E) * (F + G). 22

23 Infix to Postfix & prefix Conversion Example: more complex expression: Postfix prefix 23

24 Infix to Postfix & prefix Conversion Example: more complex expression: (A + B) * C - (D - E) * (F + G). 24

25 General algorithm for Conversion Infix-to-Postfix Scan the token list from left to right. 1) If the token is an operand, append it to the end of the output list. 2) If the token is an operator, *, /, +, or -, push it on the stack. However, first remove any operators already on the stack that have higher or equal precedence and append them to the output list. 3) When the input expression has been completely processed, check the stack. Any operators still on the stack can be removed and appended to the end of the output list. 25

26 General Infix-to-prefix Conversion 26

27 General Infix-to-postfix Conversion 27

28 General Infix-to-Postfix Conversion Following figure shows the conversion algorithm working on the expression A * B + C * D. Note that the first * operator is removed upon seeing the + operator. Also, + stays on the stack when the second * occurs, since multiplication has precedence over addition. At the end of the infix expression the stack is popped twice, removing both operators and placing + as the last operator in the postfix expression. 28

29 example We can now handle this result by placing it back on the stack so that it can be used as an operand for the later operators in the expression. When the final operator is processed, there will be only one value left on the stack. Pop and return it as the result of the expression. Ex= * + 29

30 Use the stack for calculate following postfix expression / Example(postfix to infix) 30

31 Example(prefix to infix) Use the stack for calculate following prefix expression. 31

32 Example(prefix to postfix) Use the stack for convert following prefix expression to postfix. 32

33 Queue Queue is an ADT data structure similar to stack, except that the first item to be inserted is the first one to be removed. This mechanism is called First-In-First-Out (FIFO). Placing an item in a queue is called insertion or enqueue, which is done at the end of the queue called rear. Removing an item from a queue is called deletion or dequeue, which is done at the start of the queue called front. Total no of elements in queue= rear front +1 33

34 Queue Applications Some of the applications are : Real-World Applications Cashier lines in any store Check out at a bookstore Bank / ATM Call an airline Computer Science Applications Print lines of a document Printer sharing between computers Recognizing palindromes Shared resource usage (CPU, memory access, ) 34

35 Queue implementation First the queue is empty insert insert insert delete delete

36 When queue is empty FRONT = 0 and REAR = -1 Insertion Adding an element in queue will increased value of REAR by 1 Removal rear = rear + 1 or rear ++ Removing an element from queue will increased value of FRONT by 1 front = front+ 1 or front++ 36

37 Enqueue operation 37

38 Enqueue operation rear==maxsize-1 (front =rear )!!! 38

39 Algorithm Enqueue (item) 1.If (rear = size -1 ) print ( queue overflow ) return 2.else rear ++ Queue [rear] = item 39

40 Dequeue operation que[front++]=null ; 40

41 Dequeue operation (front =rear) is empty or full!!!! 41

42 Algorithm Enqueue (item) 1.if (front =rear && count=0 ) print queue empty ; return; 2. else item = queue [front]; Front ++; Return item ; 42

43 Circuit Queue After a few insert and delete operations the rear might reach the end of the queue and no more items can be inserted although the items from the front of the queue have been deleted and there is space in the queue. To solve this problem, queues implement wrapping around. Such queues are called Circular Queues. Both the front and the rear pointers wrap around to the beginning of the array. It is also called as Ring buffer. Items can inserted and deleted from a queue in O(1) time. 43

44 Circuit Queue for insert in circuit queue 44

45 Empty Circuit Queue : Circuit Queue if (front==rear ) && count==0 queue is empty if (front==rear ) && count==size queue is full 45

46 For know full circuit queue or empty we have to define variable count=0 if insert itrm count++ and if delete item count--. If (count==0) && (rear==front) queue is empty If (count== size) && (rear==front) queue is full If (rear == size -1) means circuit queue and rear=0 For insert que[++rear]=item; and count++ For remove que[front ++]=item; and count-- 46

47 Creat queue & insert package arrayqueue; public class ArrayQueue { int maxsize; Object []que; int front; int rear; int count; ArrayQueue(int s){ maxsize=s; que=new Object[maxsize]; front=0 ; rear=-1; //end ArrayQueue // public void insert(object item){ if (count == size) { System.out.println("queue is full"); return; if (rear == size - 1) { rear = 0; que[rear] = item; else { que[++rear] = item; count++; //end insert 47

48 Remove & peek & empty & display public Object remove(){ if (count == 0) { System.out.println("queue is empty"); return 0; Object item = que[front]; que[front] = null; if (front == size - 1) { front = 0; else { front++; count--; return item; //end remove // public Object peek(){ return que[front]; // public boolean isempty(){ return count==0; // public int size(){ return count; // public void display(){ System.out.print("Queue: "); for(int i=0;i<= rear ;i++) System.out.print(que[i]+" "); System.out.println(); 48

49 public static void main(string[]args){ ArrayQueue q=new ArrayQueue(3); q.insert('a'); q.insert('b'); q.insert('c'); q.display(); System.out.println(q.remove()+" is deleted"); System.out.println("Queue after delete"); q.display(); q.insert('d'); q.display(); Main method System.out.println("peek= "+q.peek()); System.out.println("Queue size= "+q.size()); //end main //end class 49

50 50

Lecture Data Structure Stack

Lecture Data Structure Stack Lecture Data Structure Stack 1.A stack :-is an abstract Data Type (ADT), commonly used in most programming languages. It is named stack as it behaves like a real-world stack, for example a deck of cards

More information

Associate Professor Dr. Raed Ibraheem Hamed

Associate Professor Dr. Raed Ibraheem Hamed Associate Professor Dr. Raed Ibraheem Hamed University of Human Development, College of Science and Technology Computer Science Department 2015 2016 1 What this Lecture is about: Stack Structure Stack

More information

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

Stack ADT. ! push(x) puts the element x on top of the stack! pop removes the topmost element from the stack. STACK Stack ADT 2 A stack is an abstract data type based on the list data model All operations are performed at one end of the list called the top of the stack (TOS) LIFO (for last-in first-out) list is

More information

Write a program to implement stack or any other data structure in Java ASSIGNMENT NO 15

Write a program to implement stack or any other data structure in Java ASSIGNMENT NO 15 Write a program to implement stack or any other data structure in Java ASSIGNMENT NO 15 Title: Demonstrate implementation of data structure in Java Objectives: To learn implementation of data structure

More information

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

ADVANCED DATA STRUCTURES USING C++ ( MT-CSE-110 ) ADVANCED DATA STRUCTURES USING C++ ( MT-CSE-110 ) Unit - 2 By: Gurpreet Singh Dean Academics & H.O.D. (C.S.E. / I.T.) Yamuna Institute of Engineering & Technology, Gadholi What is a Stack? A stack is a

More information

STACKS AND QUEUES. Problem Solving with Computers-II

STACKS AND QUEUES. Problem Solving with Computers-II STACKS AND QUEUES Problem Solving with Computers-II 2 Stacks container class available in the C++ STL Container class that uses the Last In First Out (LIFO) principle Methods i. push() ii. iii. iv. pop()

More information

The Bucharest University of Economic Studies. Data Structures. ADTs-Abstract Data Types Stacks and Queues

The Bucharest University of Economic Studies. Data Structures. ADTs-Abstract Data Types Stacks and Queues The Bucharest University of Economic Studies Data Structures ADTs-Abstract Data Types Stacks and Queues Agenda Definition Graphical representation Internal interpretation Characteristics Operations Implementations

More information

CMPS 390 Data Structures

CMPS 390 Data Structures CMPS 390 Data Structures Programming Assignment #02 Infix to Postfix 1. Complete two methods in Java program (Postfix.java) to convert an infix expression into a postfix expression and evaluate the postfix

More information

1. Stack Implementation Using 1D Array

1. Stack Implementation Using 1D Array Lecture 5 Stacks 1 Lecture Content 1. Stack Implementation Using 1D Array 2. Stack Implementation Using Singly Linked List 3. Applications of Stack 3.1 Infix and Postfix Arithmetic Expressions 3.2 Evaluate

More information

Stacks (5.1) Abstract Data Types (ADTs) CSE 2011 Winter 2011

Stacks (5.1) Abstract Data Types (ADTs) CSE 2011 Winter 2011 Stacks (5.1) CSE 2011 Winter 2011 26 January 2011 1 Abstract Data Types (ADTs) An abstract data type (ADT) is an abstraction of a data structure An ADT specifies: Data stored Operations on the data Error

More information

Interfaces & Generics

Interfaces & Generics Interfaces & Generics CSC207 Winter 2018 The Programming Interface The "user" for almost all code is a programmer. That user wants to know:... what kinds of object your class represents... what actions

More information

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

Stacks. Stacks. Main stack operations. The ADT Stack stores arbitrary objects. Insertions and deletions follow the last-in first-out (LIFO) principle. Stacks 1 Stacks The ADT Stack stores arbitrary objects. Insertions and deletions follow the last-in first-out (LIFO) principle. 2 Main stack operations Insertion and removal are defined by: push(e): inserts

More information

Stacks. Chapter 5. Copyright 2012 by Pearson Education, Inc. All rights reserved

Stacks. Chapter 5. Copyright 2012 by Pearson Education, Inc. All rights reserved Stacks Chapter 5 Contents Specifications of the ADT Stack Using a Stack to Process Algebraic Expressions A Problem Solved: Checking for Balanced Delimiters in an Infix Algebraic Expression A Problem Solved:

More information

ITI Introduction to Computing II

ITI Introduction to Computing II ITI 1121. Introduction to Computing II Queues ArrayQueue Marcel Turcotte School of Electrical Engineering and Computer Science Version of March 10, 2014 Abstract These lecture notes are meant to be looked

More information

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

CMSC 132: Object-Oriented Programming II. Stack and Queue CMSC 132: Object-Oriented Programming II Stack and Queue 1 Stack Allows access to only the last item inserted. An item is inserted or removed from the stack from one end called the top of the stack. This

More information

Data Structures G5029

Data Structures G5029 Data Structures G5029 Lecture 2 Kingsley Sage Room 5C16, Pevensey III khs20@sussex.ac.uk University of Sussex 2006 Lecture 2 Stacks The usual analogy is the stack of plates. A way of buffering a stream

More information

Queues Fall 2018 Margaret Reid-Miller

Queues Fall 2018 Margaret Reid-Miller Queues 15-121 Fall 2018 Margaret Reid-Miller Today Exam 2 is next Tuesday, October 30 Writing methods various classes that implement Lists. Methods using Lists and Big-O w/ ArrayList or LinkedLists Prove

More information

PA3 Design Specification

PA3 Design Specification PA3 Teaching Data Structure 1. System Description The Data Structure Web application is written in JavaScript and HTML5. It has been divided into 9 pages: Singly linked page, Stack page, Postfix expression

More information

Stack. 4. In Stack all Operations such as Insertion and Deletion are permitted at only one end. Size of the Stack 6. Maximum Value of Stack Top 5

Stack. 4. In Stack all Operations such as Insertion and Deletion are permitted at only one end. Size of the Stack 6. Maximum Value of Stack Top 5 What is Stack? Stack 1. Stack is LIFO Structure [ Last in First Out ] 2. Stack is Ordered List of Elements of Same Type. 3. Stack is Linear List 4. In Stack all Operations such as Insertion and Deletion

More information

ADT Stack. Inserting and deleting elements occurs at the top of Stack S. top. bottom. Stack S

ADT Stack. Inserting and deleting elements occurs at the top of Stack S. top. bottom. Stack S Stacks Stacks & Queues A linear sequence, or list, is an ordered collection of elements: S = (s 1, s 2,..., s n ) Stacks and queues are finite linear sequences. A Stack is a LIFO (Last In First Out) list.

More information

Stack and Its Implementation

Stack and Its Implementation Stack and Its Implementation Tessema M. Mengistu Department of Computer Science Southern Illinois University Carbondale tessema.mengistu@siu.edu Room - 3131 1 Definition of Stack Usage of Stack Outline

More information

LIFO : Last In First Out

LIFO : Last In First Out Introduction Stack is an ordered list in which all insertions and deletions are made at one end, called the top. Stack is a data structure that is particularly useful in applications involving reversing.

More information

infix expressions (review)

infix expressions (review) Outline infix, prefix, and postfix expressions queues queue interface queue applications queue implementation: array queue queue implementation: linked queue application of queues and stacks: data structure

More information

1 P age DS & OOPS / UNIT II

1 P age DS & OOPS / UNIT II UNIT II Stacks: Definition operations - applications of stack. Queues: Definition - operations Priority queues - De que Applications of queue. Linked List: Singly Linked List, Doubly Linked List, Circular

More information

Stacks. stacks of dishes or trays in a cafeteria. Last In First Out discipline (LIFO)

Stacks. stacks of dishes or trays in a cafeteria. Last In First Out discipline (LIFO) Outline stacks stack ADT method signatures array stack implementation linked stack implementation stack applications infix, prefix, and postfix expressions 1 Stacks stacks of dishes or trays in a cafeteria

More information

Stacks. Chapter 5. Copyright 2012 by Pearson Education, Inc. All rights reserved

Stacks. Chapter 5. Copyright 2012 by Pearson Education, Inc. All rights reserved Stacks Chapter 5 Copyright 2012 by Pearson Education, Inc. All rights reserved Contents Specifications of the ADT Stack Using a Stack to Process Algebraic Expressions A Problem Solved: Checking for Balanced

More information

Data Structures & Algorithm Analysis. Lecturer: Souad Alonazi

Data Structures & Algorithm Analysis. Lecturer: Souad Alonazi Data Structures & Algorithm Analysis Lec(3) Stacks Lecturer: Souad Alonazi What is a stack? Stores a set of elements in a particular order Stack principle: LAST IN FIRST OUT = LIFO It means: the last element

More information

Stacks Fall 2018 Margaret Reid-Miller

Stacks Fall 2018 Margaret Reid-Miller Stacks 15-121 Fall 2018 Margaret Reid-Miller Today Exam 2 is next Tuesday, October 30 Today: Quiz 5 solutions Recursive add from last week (see SinglyLinkedListR.java) Stacks ADT (Queues on Thursday) ArrayStack

More information

Postfix (and prefix) notation

Postfix (and prefix) notation Postfix (and prefix) notation Also called reverse Polish reversed form of notation devised by mathematician named Jan Łukasiewicz (so really lü-kä-sha-vech notation) Infix notation is: operand operator

More information

EC8393FUNDAMENTALS OF DATA STRUCTURES IN C Unit 3

EC8393FUNDAMENTALS OF DATA STRUCTURES IN C Unit 3 UNIT 3 LINEAR DATA STRUCTURES 1. Define Data Structures Data Structures is defined as the way of organizing all data items that consider not only the elements stored but also stores the relationship between

More information

Data Structure - Stack and Queue-

Data Structure - Stack and Queue- Data Structure - Stack and Queue- Hanyang University Jong-Il Park STACK Stack ADT List that insertions and deletions can be performed at the end of the list Operations Push(X, S): insert X in the list

More information

CMPSCI 187: Programming With Data Structures. Lecture #11: Implementing Stacks With Arrays David Mix Barrington 28 September 2012

CMPSCI 187: Programming With Data Structures. Lecture #11: Implementing Stacks With Arrays David Mix Barrington 28 September 2012 CMPSCI 187: Programming With Data Structures Lecture #11: Implementing Stacks With Arrays David Mix Barrington 28 September 2012 Implementing Stacks With Arrays The Idea of the Implementation Data Fields

More information

STACKS. A stack is defined in terms of its behavior. The common operations associated with a stack are as follows:

STACKS. A stack is defined in terms of its behavior. The common operations associated with a stack are as follows: STACKS A stack is a linear data structure for collection of items, with the restriction that items can be added one at a time and can only be removed in the reverse order in which they were added. The

More information

Abstract Data Types. Abstract Data Types

Abstract Data Types. Abstract Data Types Abstract Data Types Wolfgang Schreiner Research Institute for Symbolic Computation (RISC) Johannes Kepler University, Linz, Austria Wolfgang.Schreiner@risc.jku.at http://www.risc.jku.at Wolfgang Schreiner

More information

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

Keeping Order:! Stacks, Queues, & Deques. Travis W. Peters Dartmouth College - CS 10 Keeping Order:! Stacks, Queues, & Deques 1 Stacks 2 Stacks A stack is a last in, first out (LIFO) data structure Primary Operations: push() add item to top pop() return the top item and remove it peek()

More information

Stacks. Access to other items in the stack is not allowed A LIFO (Last In First Out) data structure

Stacks. Access to other items in the stack is not allowed A LIFO (Last In First Out) data structure CMPT 225 Stacks Stacks A stack is a data structure that only allows items to be inserted and removed at one end We call this end the top of the stack The other end is called the bottom Access to other

More information

Announcements Queues. Queues

Announcements Queues. Queues Announcements. Queues Queues 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 A queue is a linear

More information

The Stack ADT. Stacks. The Stack ADT. The Stack ADT. Set of objects in which the location an item is inserted and deleted is prespecified.

The Stack ADT. Stacks. The Stack ADT. The Stack ADT. Set of objects in which the location an item is inserted and deleted is prespecified. The Stack ADT Stacks Set of objects in which the location an item is inserted and deleted is prespecified Stacks! Insert in order! Delete most recent item inserted! LIFO - last in, first out Stacks 2 The

More information

Lecture 4 Stack and Queue

Lecture 4 Stack and Queue Lecture 4 Stack and Queue Bo Tang @ SUSTech, Spring 2018 Our Roadmap Stack Queue Stack vs. Queue 2 Stack A stack is a sequence in which: Items can be added and removed only at one end (the top) You can

More information

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

CS 112 Introduction to Computing II. Wayne Snyder Computer Science Department Boston University CS 11 Introduction to Computing II Wayne Snyder Department Boston University Today Object-Oriented Programming Concluded Stacks, Queues, and Priority Queues as Abstract Data Types Reference types: Basic

More information

SCJ2013 Data Structure & Algorithms. Queue. Nor Bahiah Hj Ahmad & Dayang Norhayati A. Jawawi

SCJ2013 Data Structure & Algorithms. Queue. Nor Bahiah Hj Ahmad & Dayang Norhayati A. Jawawi SCJ2013 Data Structure & Algorithms Queue Nor Bahiah Hj Ahmad & Dayang Norhayati A. Jawawi Course Objectives At the end of the lesson students are expected to be able to: Understand queue concepts and

More information

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

1.00 Lecture 26. Data Structures: Introduction Stacks. Reading for next time: Big Java: Data Structures 1.00 Lecture 26 Data Structures: Introduction Stacks Reading for next time: Big Java: 19.1-19.3 Data Structures Set of primitives used in algorithms, simulations, operating systems, applications to: Store

More information

UNIT-2 Stack & Queue

UNIT-2 Stack & Queue UNIT-2 Stack & Queue 59 13. Stack A stack is an Abstract Data Type (ADT), commonly used in most programming languages. It is named stack as it behaves like a real-world stack, for example a deck of cards

More information

DATA STRUCUTRES. A data structure is a particular way of storing and organizing data in a computer so that it can be used efficiently.

DATA STRUCUTRES. A data structure is a particular way of storing and organizing data in a computer so that it can be used efficiently. DATA STRUCUTRES A data structure is a particular way of storing and organizing data in a computer so that it can be used efficiently. An algorithm, which is a finite sequence of instructions, each of which

More information

! A data type for which: ! In fact, an ADT may be implemented by various. ! Examples:

! A data type for which: ! In fact, an ADT may be implemented by various. ! Examples: Ch. 8: ADTs: Stacks and Queues Abstract Data Type A data type for which: CS 8 Fall Jill Seaman - only the properties of the data and the operations to be performed on the data are specific, - not concerned

More information

Stacks and Queues

Stacks and Queues Stacks and Queues 2-25-2009 1 Opening Discussion Let's look at solutions to the interclass problem. Do you have any questions about the reading? Do you have any questions about the assignment? Minute Essays

More information

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

Collections Chapter 12. Instructor: Scott Kristjanson CMPT 125/125 SFU Burnaby, Fall 2013 Collections Chapter 12 Instructor: Scott Kristjanson CMPT 125/125 SFU Burnaby, Fall 2013 2 Scope Introduction to Collections: Collection terminology The Java Collections API Abstract nature of collections

More information

Data Abstraction and Specification of ADTs

Data Abstraction and Specification of ADTs CITS2200 Data Structures and Algorithms Topic 4 Data Abstraction and Specification of ADTs Example The Reversal Problem and a non-adt solution Data abstraction Specifying ADTs Interfaces javadoc documentation

More information

Stacks and Queues. David Greenstein Monta Vista

Stacks and Queues. David Greenstein Monta Vista Stacks and Queues David Greenstein Monta Vista Stack vs Queue Stacks and queues are used for temporary storage, but in different situations Stacks are Used for handling nested structures: processing directories

More information

Data Structure using C++ Lecture 04. Data Structures and algorithm analysis in C++ Chapter , 3.2, 3.2.1

Data Structure using C++ Lecture 04. Data Structures and algorithm analysis in C++ Chapter , 3.2, 3.2.1 Data Structure using C++ Lecture 04 Reading Material Data Structures and algorithm analysis in C++ Chapter. 3 3.1, 3.2, 3.2.1 Summary Infix to Postfix Example 1: Infix to Postfix Example 2: Postfix Evaluation

More information

Top of the Stack. Stack ADT

Top of the Stack. Stack ADT Module 3: Stack ADT Dr. Natarajan Meghanathan Professor of Computer Science Jackson State University Jackson, MS 39217 E-mail: natarajan.meghanathan@jsums.edu Stack ADT Features (Logical View) A List that

More information

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

Queues. Gaddis 18.4, Molly A. O'Neil CS 2308 :: Spring 2016 Queues Gaddis 18.4, 18.6 Molly A. O'Neil CS 2308 :: Spring 2016 The Queue ADT A queue is an abstract data type that stores a collection of elements of the same type The elements of a queue are accessed

More information

Linked List. April 2, 2007 Programming and Data Structure 1

Linked List. April 2, 2007 Programming and Data Structure 1 Linked List April 2, 2007 Programming and Data Structure 1 Introduction head A linked list is a data structure which can change during execution. Successive elements are connected by pointers. Last element

More information

CT 229 Object-Oriented Programming Continued

CT 229 Object-Oriented Programming Continued CT 229 Object-Oriented Programming Continued 24/11/2006 CT229 Summary - Inheritance Inheritance is the ability of a class to use the attributes and methods of another class while adding its own functionality

More information

Stack and Queue. Stack:

Stack and Queue. Stack: Stack and Queue Stack: Abstract Data Type A stack is a container of objects that are inserted and removed according to the last-in first-out (LIFO) principle. In the pushdown stacks only two operations

More information

Stacks and Queues. Chris Kiekintveld CS 2401 (Fall 2010) Elementary Data Structures and Algorithms

Stacks and Queues. Chris Kiekintveld CS 2401 (Fall 2010) Elementary Data Structures and Algorithms Stacks and Queues Chris Kiekintveld CS 2401 (Fall 2010) Elementary Data Structures and Algorithms Two New ADTs Define two new abstract data types Both are restricted lists Can be implemented using arrays

More information

CSE 143 SAMPLE MIDTERM

CSE 143 SAMPLE MIDTERM CSE 143 SAMPLE MIDTERM 1. (5 points) In some methods, you wrote code to check if a certain precondition was held. If the precondition did not hold, then you threw an exception. This leads to robust code

More information

CS6202 - PROGRAMMING & DATA STRUCTURES I Unit IV Part - A 1. Define Stack. A stack is an ordered list in which all insertions and deletions are made at one end, called the top. It is an abstract data type

More information

Queue with Array Implementation

Queue with Array Implementation Queue with Array Implementation SCSJ2013 Data Structures & Algorithms Nor Bahiah Hj Ahmad & Dayang Norhayati A. Jawawi Faculty of Computing Objectives Queue concepts and applications. Queue structure and

More information

Stacks and Queues. CSE Data Structures April 12, 2002

Stacks and Queues. CSE Data Structures April 12, 2002 Stacks and Queues CSE 373 - Data Structures April 12, 2002 Readings and References Reading Section 3.3 and 3.4, Data Structures and Algorithm Analysis in C, Weiss Other References 12-Apr-02 CSE 373 - Data

More information

Data Structure using C++ Lecture 04. Data Structures and algorithm analysis in C++ Chapter , 3.2, 3.2.1

Data Structure using C++ Lecture 04. Data Structures and algorithm analysis in C++ Chapter , 3.2, 3.2.1 Data Structure using C++ Lecture 04 Reading Material Data Structures and algorithm analysis in C++ Chapter. 3 3.1, 3.2, 3.2.1 Summary Stack Operations on a stack Representing stacks Converting an expression

More information

Application of Stack (Backtracking)

Application of Stack (Backtracking) Application of Stack (Backtracking) Think of a labyrinth or maze How do you find a way from an entrance to an exit? Once you reach a dead end, you must backtrack. But backtrack to where? to the previous

More information

Stacks, Queues (cont d)

Stacks, Queues (cont d) Stacks, Queues (cont d) CSE 2011 Winter 2007 February 1, 2007 1 The Adapter Pattern Using methods of one class to implement methods of another class Example: using List to implement Stack and Queue 2 1

More information

CS24 Week 4 Lecture 2

CS24 Week 4 Lecture 2 CS24 Week 4 Lecture 2 Kyle Dewey Overview Linked Lists Stacks Queues Linked Lists Linked Lists Idea: have each chunk (called a node) keep track of both a list element and another chunk Need to keep track

More information

10/26/2017 CHAPTER 3 & 4. Stacks & Queues. The Collection Framework

10/26/2017 CHAPTER 3 & 4. Stacks & Queues. The Collection Framework CHAPTER 3 & 4 Stacks & Queues The Collection Framework 1 Stack Abstract Data Type A stack is one of the most commonly used data structures in computer science A stack can be compared to a Pez dispenser

More information

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

Ch. 18: ADTs: Stacks and Queues. Abstract Data Type Ch. 18: ADTs: Stacks and Queues CS 2308 Fall 2011 Jill Seaman Lecture 18 1 Abstract Data Type A data type for which: - only the properties of the data and the operations to be performed on the data are

More information

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

Data Structures and Object-Oriented Design III. Spring 2014 Carola Wenk Data Structures and Object-Oriented Design III Spring 2014 Carola Wenk Array-Based Stack vs. DynamicStack public class ArrayStack { final static int DEFAULT_CAPACITY=50; private int[] S; private int top;

More information

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

Queues. Virtuelle Fachhochschule. Prof. Dr. Debora Weber-Wulff Queues Virtuelle Fachhochschule Prof. Dr. Debora Weber-Wulff!1 Queues First In, First Out Well-known in socialist society Operations enqueue join the back of the line dequeue remove from the front of the

More information

March 13/2003 Jayakanth Srinivasan,

March 13/2003 Jayakanth Srinivasan, Statement Effort MergeSort(A, lower_bound, upper_bound) begin T(n) if (lower_bound < upper_bound) Θ(1) mid = (lower_bound + upper_bound)/ 2 Θ(1) MergeSort(A, lower_bound, mid) T(n/2) MergeSort(A, mid+1,

More information

CSEN 301 Data Structures and Algorithms

CSEN 301 Data Structures and Algorithms CSEN 301 Data Structures and Algorithms Lecture 5: Queues: Implementation and usage Prof. Dr. Slim Abdennadher slim.abdennadher@guc.edu.eg German University Cairo, Department of Media Engineering and Technology

More information

Top of the Stack. Stack ADT

Top of the Stack. Stack ADT Module 3: Stack ADT Dr. Natarajan Meghanathan Professor of Computer Science Jackson State University Jackson, MS 39217 E-mail: natarajan.meghanathan@jsums.edu Stack ADT Features (Logical View) A List that

More information

BBM 201 DATA STRUCTURES

BBM 201 DATA STRUCTURES BBM 201 DATA STRUCTURES Lecture 5: Stacks and Queues 2017 Fall Stacks A list on which insertion and deletion can be performed. Based on Last-in-First-out (LIFO) Stacks are used for a number of applications:

More information

Lecture No.04. Data Structures

Lecture No.04. Data Structures Lecture No.04 Data Structures Josephus Problem #include "CList.cpp" void main(int argc, char *argv[]) { CList list; int i, N=10, M=3; for(i=1; i

More information

Outline and Reading. The Stack ADT ( 2.1.1) Applications of Stacks ( 2.1.1) Array-based implementation ( 2.1.1) Growable array-based stack ( 1.

Outline and Reading. The Stack ADT ( 2.1.1) Applications of Stacks ( 2.1.1) Array-based implementation ( 2.1.1) Growable array-based stack ( 1. Stacks Outline and Reading The Stack ADT ( 2.1.1) Applications of Stacks ( 2.1.1) Array-based implementation ( 2.1.1) Growable array-based stack ( 1.5) Stacks 2 Abstract Data Types (ADTs) An abstract data

More information

DEEPIKA KAMBOJ UNIT 2. What is Stack?

DEEPIKA KAMBOJ UNIT 2. What is Stack? What is Stack? UNIT 2 Stack is an important data structure which stores its elements in an ordered manner. You must have seen a pile of plates where one plate is placed on top of another. Now, when you

More information

More Data Structures (Part 1) Stacks

More Data Structures (Part 1) Stacks More Data Structures (Part 1) Stacks 1 Stack examples of stacks 2 Top of Stack top of the stack 3 Stack Operations classically, stacks only support two operations 1. push 2. pop add to the top of the stack

More information

n Data structures that reflect a temporal relationship q order of removal based on order of insertion n We will consider:

n Data structures that reflect a temporal relationship q order of removal based on order of insertion n We will consider: Linear, time-ordered structures CS00: Stacks n Prichard Ch 7 n Data structures that reflect a temporal relationship order of removal based on order of insertion n We will consider: first come,first serve

More information

-The Hacker's Dictionary. Friedrich L. Bauer German computer scientist who proposed "stack method of expression evaluation" in 1955.

-The Hacker's Dictionary. Friedrich L. Bauer German computer scientist who proposed stack method of expression evaluation in 1955. Topic 15 Implementing and Using "stack n. The set of things a person has to do in the future. "I haven't done it yet because every time I pop my stack something new gets pushed." If you are interrupted

More information

Lecture 3: Stacks & Queues

Lecture 3: Stacks & Queues Lecture 3: Stacks & Queues Prakash Gautam https://prakashgautam.com.np/dipit02/ info@prakashgautam.com.np 22 March, 2018 Objectives Definition: Stacks & Queues Operations of Stack & Queues Implementation

More information

CS 206 Introduction to Computer Science II

CS 206 Introduction to Computer Science II CS 206 Introduction to Computer Science II 07 / 26 / 2016 Instructor: Michael Eckmann Today s Topics Comments/Questions? Stacks and Queues Applications of both Priority Queues Michael Eckmann - Skidmore

More information

Stacks and Queues. CSE 373 Data Structures Lecture 6

Stacks and Queues. CSE 373 Data Structures Lecture 6 Stacks and Queues CSE 373 Data Structures Lecture 6 Readings and References Reading Sections 3.3 and 3.4 10/11/02 Stacks and Queues - Lecture 6 2 Stacks A list for which Insert and Delete are allowed only

More information

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

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

More information

BBM 201 DATA STRUCTURES

BBM 201 DATA STRUCTURES BBM 201 DATA STRUCTURES Lecture 6: Stacks and Queues 2015-2016 Fall Stacks A list on which insertion and deletion can be performed. Based on Last-in-First-out (LIFO) Stacks are used for a number of applications:

More information

No Aids Allowed. Do not turn this page until you have received the signal to start.

No Aids Allowed. Do not turn this page until you have received the signal to start. CSC 148H Midterm Fall 2007 St. George Campus Duration 50 minutes Student Number: Family Name: Given Name: No Aids Allowed. Do not turn this page until you have received the signal to start. # 1: /10 #

More information

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

CS11001/CS11002 Programming and Data Structures (PDS) (Theory: 3-0-0) CS11001/CS11002 Programming and Data Structures (PDS) (Theory: 3-0-0) Class Teacher: Pralay Mitra Department of Computer Science and Engineering Indian Institute of Technology Kharagpur Conceptual Idea

More information

Lecture 12 ADTs and Stacks

Lecture 12 ADTs and Stacks Lecture 12 ADTs and Stacks Modularity Divide the program into smaller parts Advantages Keeps the complexity managable Isolates errors (parts can be tested independently) Can replace parts easily Eliminates

More information

CSE 143. Lecture 4: Stacks and Queues

CSE 143. Lecture 4: Stacks and Queues CSE 143 Lecture 4: Stacks and Queues Stacks and queues Sometimes it is good to have a collection that is less powerful, but is optimized to perform certain operations very quickly. Today we will examine

More information

No Aids Allowed. Do not turn this page until you have received the signal to start. Read this entire page or you ll miss the bonus question.

No Aids Allowed. Do not turn this page until you have received the signal to start. Read this entire page or you ll miss the bonus question. CSC 148H Midterm Fall 2005 St. George Campus Duration 50 minutes Student Number: Family Name: Given Name: No Aids Allowed. Do not turn this page until you have received the signal to start. Read this entire

More information

1/18/12. Chapter 5: Stacks, Queues and Deques. Stacks. Outline and Reading. Nancy Amato Parasol Lab, Dept. CSE, Texas A&M University

1/18/12. Chapter 5: Stacks, Queues and Deques. Stacks. Outline and Reading. Nancy Amato Parasol Lab, Dept. CSE, Texas A&M University Chapter 5: Stacks, ueues and Deques Nancy Amato Parasol Lab, Dept. CSE, Texas A&M University Acknowledgement: These slides are adapted from slides provided with Data Structures and Algorithms in C++, Goodrich,

More information

Stacks. Revised based on textbook author s notes.

Stacks. Revised based on textbook author s notes. Stacks Revised based on textbook author s notes. Stacks A restricted access container that stores a linear collection. Very common for solving problems in computer science. Provides a last-in first-out

More information

Stacks and Queues. Chapter Stacks

Stacks and Queues. Chapter Stacks Chapter 18 Stacks and Queues 18.1 Stacks The stack abstract data type allows access to only one element the one most recently added. This location is referred to as the top of the stack. Consider how a

More information

Queue rear tail front head FIFO

Queue rear tail front head FIFO The Queue ADT Objectives Examine queue processing Define a queue abstract data type Demonstrate how a queue can be used to solve problems Examine various queue implementations Compare queue implementations

More information

The Stack and Queue Types

The Stack and Queue Types The Stack and Queue Types Hartmut Kaiser hkaiser@cct.lsu.edu http://www.cct.lsu.edu/ hkaiser/fall_2012/csc1254.html 2 Programming Principle of the Day Do the simplest thing that could possibly work A good

More information

CSC 273 Data Structures

CSC 273 Data Structures CSC 273 Data Structures Lecture 3- Stacks Some familiar stacks What is a stack? Add item on top of stack Remove item that is topmost Last In, First Out LIFO Specifications of the ADT Stack Specifications

More information

Motivation for Queues

Motivation for Queues CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 178] Motivation for Queues Some examples of first-in, first-out (FIFO) behavior: æ waiting in line to check out at a store æ cars on

More information

Data Structures and Algorithms, Winter term 2018 Practice Assignment 3

Data Structures and Algorithms, Winter term 2018 Practice Assignment 3 German University in Cairo Media Engineering and Technology Prof. Dr. Slim Abdennadher Dr. Wael Abouelsaadat Data Structures and Algorithms, Winter term 2018 Practice Assignment 3 Exercise 3-1 Search in

More information

csci 210: Data Structures Stacks and Queues

csci 210: Data Structures Stacks and Queues csci 210: Data Structures Stacks and Queues 1 Summary Topics Stacks and Queues as abstract data types ( ADT) Implementations arrays linked lists Analysis and comparison Applications: searching with stacks

More information

Introduction. Problem Solving on Computer. Data Structures (collection of data and relationships) Algorithms

Introduction. Problem Solving on Computer. Data Structures (collection of data and relationships) Algorithms Introduction Problem Solving on Computer Data Structures (collection of data and relationships) Algorithms 1 Objective of Data Structures Two Goals: 1) Identify and develop useful high-level data types

More information

Abstract Data Types. Stack. January 26, 2018 Cinda Heeren / Geoffrey Tien 1

Abstract Data Types. Stack. January 26, 2018 Cinda Heeren / Geoffrey Tien 1 Abstract Data Types Stack January 26, 2018 Cinda Heeren / Geoffrey Tien 1 Abstract data types and data structures An Abstract Data Type (ADT) is: A collection of data Describes what data are stored but

More information

Stacks and Queues III

Stacks and Queues III EE Data Structures and lgorithms http://www.ecs.umass.edu/~polizzi/teaching/ee/ Stacks and Queues III Lecture 8 Prof. Eric Polizzi Queues overview First In First Out (FIFO) Input D Output Queues allow

More information