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

Size: px
Start display at page:

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

Transcription

1 Stacks

2 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. A Queue is a FIFO (First In First Out) list.

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

4 Stack Operations mystack = new Stack( ); mystack.push(ape); mystack.push(eel); mystack top ape mystack top eel ape mystack top pet = mystack.pop(); boolean empty = mystack.isempty(); ape mystack top ape mystack top

5 Java NPSStack ADT /** * This interface defines the Stack ADT */ public interface NPSStack<E> { public void clear( ); public boolean isempty( ); public E peek( ) throws NPSStackEmptyException; public E pop( ) throws NPSStackEmptyException; public void push(e element); public int size( );

6 Defining the Stack ADT Array Implementation How should we represent an empty stack? ADT Stack does not overflow. How should we handle an array overflow? Linked List Implementation How should we represent an empty stack?

7 ArrayStack Implementation public class NPSArrayStack<E> implements NPSStack<E> { /** Default initial size of an array */ private static final int DEFAULT_SIZE = 25; /** An array to store the elements */ private E[] element; /** The number of elements in the stack. */ private int count; // /** Default constructor */ public NPSArrayStack( ) { this(default_size); /** Creates a stack with an initial capacity of size */ public NPSArrayStack( int size ) { element = (E[]) new Object[size]; count = 0;

8 ArrayStack Implementation /** Removes all elements from the stack. */ public void clear( ) { // // May or may not be desired (why?) // //for (int i = 0; i < count; i++ ) { // element[i] = null; // count = 0; /** Determines whether the stack is empty or not. */ public boolean isempty( ) { return (count == 0); /** Returns the number of elements in the stack */ public int size( ) { return count;

9 ArrayStack Implementation /** Returns the top-of-stack element without removing it */ public E peek( ) throws NPSStackEmptyException { if (isempty( )) { throw new NPSStackEmptyException( ); else { return element[count-1]; /** Removes the top-of-stack element. */ public E pop( ) throws NPSStackEmptyException { if (isempty( )) { throw new NPSStackEmptyException( ); else { return element[--count]; /** Adds an element to the stack. */ public void push(e element) { if (count == this.element.length) { expand( ); this.element[count++] = element;

10 ArrayStack Implementation /** Returns the top-of-stack element without removing it */ public E peek( ) throws NPSStackEmptyException { if (isempty( )) { throw new NPSStackEmptyException( ); else { return element[count-1]; /** Removes the top-of-stack element. */ public E pop( ) throws NPSStackEmptyException { E topelement = peek( ); count--; return topelement; /** Adds an element to the stack. */ public void push(e element) { if (count == this.element.length) { expand( ); this.element[count++] = element; This (private) method is left as an exercise.

11 Stack with a Singly Linked List We can implement a stack with a singly linked list The top element is stored at the first node of the list The space used is O(n) and each operation of the Stack ADT takes O(1) time Left as an exercise nodes t elements

12 Applications of Stacks Direct applications Page-visited history in a Web browser Undo sequence in a text editor Chain of method calls in the Java Virtual Machine Parenthesis matching HTML/XML Tag Matching Evaluating arithmetic expressions (more later) Indirect applications Auxiliary data structure for algorithms Component of other data structures

13 Method Stack in the JVM The Java Virtual Machine (JVM) keeps track of the chain of active methods with a stack When a method is called, the JVM pushes on the stack a frame containing Local variables and return value Program counter, keeping track of the statement being executed When a method ends, its frame is popped from the stack and control is passed to the method on top of the stack Allows for recursion main() { int i = 5; foo(i); foo(int j) { int k; k = j+1; bar(k); bar(int m) { bar PC = 1 m = 6 foo PC = 3 j = 5 k = 6 main PC = 2 i = 5

14 Example: Parentheses Matching Each (, {, or [ must be paired with a matching ),, or [ correct: ( )(( )){([( )]) correct: ((( )(( )){([( )]) incorrect: )(( )){([( )]) incorrect: ({[ ]) incorrect: (

15 Parentheses Matching Algorithm Algorithm ParenMatch(X,n): Input: An array X of n tokens, each of which is either a grouping symbol, a variable, an arithmetic operator, or a number Output: true if and only if all the grouping symbols in X match Let S be an empty stack for i=0 to n-1 do if X[i] is an opening grouping symbol then S.push(X[i]) else if X[i] is a closing grouping symbol then if S.isEmpty() then return false {nothing to match with if S.pop() does not match the type of X[i] then return false {wrong type if S.isEmpty() then return true {every symbol matched else return false {some symbols were never matched

16 Example: HTML/XML Tag Matching For fully-correct HTML, each <name> should pair with a matching </name> <body> <center> <h1> The Little Boat </h1> </center> <p> The storm tossed the little boat like a cheap sneaker in an old washing machine. The three drunken fishermen were used to such treatment, of course, but not the tree salesman, who even as a stowaway now felt that he had overpaid for the voyage. </p> <ol> <li> Will the salesman die? </li> <li> What color is the boat? </li> <li> And what about Naomi? </li> </ol> </body> The Little Boat The storm tossed the little boat like a cheap sneaker in an old washing machine. The three drunken fishermen were used to such treatment, of course, but not the tree salesman, who even as a stowaway now felt that he had overpaid for the voyage. 1. Will the salesman die? 2. What color is the boat? 3. And what about Naomi?

17 Evaluating Arithmetic Expressions Write a program to evaluate arithmetic expressions such as Overall approach: sin 45 * ( ^ 2) Input an infix arithmetic expression Convert it into postfix format (use Stack here) Evaluate the postfix expression (use another Stack here) Output the result

18 Three Formats for Expressions Infix: operand operator operand Postfix: operand operand operator Prefix: operator operand operand + 4 5

19 Infix and Postfix Expressions Infix * 98 ((3-4 ) * 3 ) ^ (2 / 0.33) * 3-2 (4 + 5) * 3-2 Postfix * * / ^ * * 2 - Postfix expressions have no parentheses. Relative order of the operands are the same in infix and and postfix expressions

20 General Idea: Infix-to-Postfix Algorithm Scan the input for tokens (operators and operands). If the token is an operand, output it (or append it to the output string) If the token is an operator i, compare it with the top of stack operator s. If i has a lower priority than s, pop and output s. Repeat this comparison until you locate s that has a lower priority than i. Push i onto the stack. At the end of the input, pop and output everything on the stack (or append it to the output string, etc.)

21 Infix-to-Postfix Algorithm Example: * 3 There are five tokens: three operands and two operators. Operator * has a higher priority than +. Output is * + When the next token is * * * is stacked because its priority is higher than + * +

22 Sample Process Next Token: * * 3 5 * 3 * 3 3 Stack Content: + + * + * + Output: pop twice * +

23 Algorithm public static String convertinfixtopostfix(string infix) { StringBuffer postfix = new StringBuffer(); Stack<String> operatorstack = new Stack<String>(); StringTokenizer st = new StringTokenizer(infix); String nexttoken; Set<String> operators = opprecedence.keyset(); while (st.hasmoretokens()) { nexttoken = st.nexttoken(); if (!operators.contains(nexttoken)) { postfix.append(nexttoken + " "); else {// it is an Operator, another subclass of Token while (!operatorstack.isempty() && opprecedence.get(operatorstack.peek()) >= opprecedence.get(nexttoken)) postfix.append(operatorstack.pop() + " "); operatorstack.push(nexttoken); // Pop off remaining operators while (!operatorstack.isempty()) postfix.append(operatorstack.pop() + " "); return postfix.tostring();

CSE Data Structures and Algorithms... In Java! Stacks. CSE2100 DS & Algorithms 1

CSE Data Structures and Algorithms... In Java! Stacks. CSE2100 DS & Algorithms 1 CSE 2100 Data Structures and Algorithms... In Java Stacks 1 What is Stack A stack is a collection of objects that are inserted and removed according to the last-in, first-out (LIFO) principle. Internet

More information

Stacks Goodrich, Tamassia

Stacks Goodrich, Tamassia Stacks 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 conditions associated with operations Example:

More information

CS212:Data Structure

CS212:Data Structure C212:Data tructure Direct applications Page-visited history in a Web browser Undo sequence in a text editor Chain of method calls in the Java Virtual Machine Indirect applications Auxiliary data structure

More information

COMP250: Stacks. Jérôme Waldispühl School of Computer Science McGill University. Based on slides from (Goodrich & Tamassia, 2004)

COMP250: Stacks. Jérôme Waldispühl School of Computer Science McGill University. Based on slides from (Goodrich & Tamassia, 2004) COMP250: Stacks Jérôme Waldispühl School of Computer Science McGill University Based on slides from (Goodrich & Tamassia, 2004) 2004 Goodrich, Tamassia The Stack ADT A Stack ADT is a list that allows only

More information

Stacks Goodrich, Tamassia Stacks

Stacks Goodrich, Tamassia Stacks Stacks Stacks 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 conditions associated with operations

More information

Data Structures Lecture 5

Data Structures Lecture 5 Fall 2017 Fang Yu Software Security Lab. Dept. Management Information Systems, National Chengchi University Data Structures Lecture 5 Announcement Project Proposal due on Nov. 9 Remember to bring a hardcopy

More information

Stacks Goodrich, Tamassia, Goldwasser Stacks

Stacks Goodrich, Tamassia, Goldwasser Stacks Presentation for use with the textbook Data Structures and Algorithms in Java, 6 th edition, by M. T. Goodrich, R. Tamassia, and M. H. Goldwasser, Wiley, 2014 Stacks Stacks 1 The Stack ADT The Stack ADT

More information

COMP9024: Data Structures and Algorithms

COMP9024: Data Structures and Algorithms COMP9024: Data Structures and Algorithms Week Four: Stacks and Queues Hui Wu Session 2, 2015 http://www.cse.unsw.edu.au/~cs9024 1 Outline Stacks Queues 2 Stacks 3 Abstract Data Types (ADTs) An abstract

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

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

Stacks. Lecture6: Stacks. Stack Operations. Stack Interface in Java

Stacks. Lecture6: Stacks. Stack Operations. Stack Interface in Java Stacks (01F) Lecture6: Stacks What is stack? An abstract data type storing arbitrary objects. An ordered list in which all insertions and deletions are made at one end, called top Push Pop Top Bohyung

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

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

Foundations of Data Structures

Foundations of Data Structures Foundations of Data Structures Lecture 4 Elementary Abstract Data Types (ADT): Stack Queue 1 Abstract Data Types (ADTs) An abstract data type (ADT) is an abstraction of a data structure An ADT specifies:

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

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

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

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

Lecture 3 Linear Data Structures: Arrays, Array Lists, Stacks, Queues and Linked Lists

Lecture 3 Linear Data Structures: Arrays, Array Lists, Stacks, Queues and Linked Lists Lecture 3 Linear Data Structures: Arrays, Array Lists, Stacks, Queues and Linked Lists Chapters 3.1-3.3, 5.1-5.2, 6.1-1 - Core Collection Interfaces - 2 - The Java Collections Framework Interface Abstract

More information

Outline and Reading. The Stack ADT ( 4.2.1) Applications of Stacks ( 4.2.3) Array-based implementation ( 4.2.2) Growable array-based stack.

Outline and Reading. The Stack ADT ( 4.2.1) Applications of Stacks ( 4.2.3) Array-based implementation ( 4.2.2) Growable array-based stack. Stacks Outline and Reading The Stack ADT ( 4.2.1) Applications of Stacks ( 4.2.3) Array-based implementation ( 4.2.2) Growable array-based stack Stacks 2 Abstract Data Types (ADTs) An abstract data type

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

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

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

Lecture 3 Linear Data Structures

Lecture 3 Linear Data Structures Lecture 3 Linear Data Structures - 1 - Learning Outcomes Based on this lecture, you should: Know the basic linear data structures Be able to express each as an Abstract Data Type (ADT) Be able to specify

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

-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

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

Linear Data Structure

Linear Data Structure Linear Data Structure Definition A data structure is said to be linear if its elements form a sequence or a linear list. Examples: Array Linked List Stacks Queues Operations on linear Data Structures Traversal

More information

CH ALGORITHM ANALYSIS CH6. STACKS, QUEUES, AND DEQUES

CH ALGORITHM ANALYSIS CH6. STACKS, QUEUES, AND DEQUES CH4.2-4.3. ALGORITHM ANALYSIS CH6. STACKS, QUEUES, AND DEQUES ACKNOWLEDGEMENT: THESE SLIDES ARE ADAPTED FROM SLIDES PROVIDED WITH DATA STRUCTURES AND ALGORITHMS IN JAVA, GOODRICH, TAMASSIA AND GOLDWASSER

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

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

CS 211 Programming Practicum Spring 2017

CS 211 Programming Practicum Spring 2017 Due: Tuesday, 3/28/17 at 11:59 pm Infix Expression Evaluator Programming Project 5 For this lab, write a JAVA program that will evaluate an infix expression. The algorithm REQUIRED for this program will

More information

Lecture 3 Linear Data Structures

Lecture 3 Linear Data Structures Lecture 3 Linear Data Structures Chapters 3.1-3.3, 5.1-5.2, 6.1-1 - Outline Our goal in this lecture is to Review the basic linear data structures Demonstrate how each can be defined as an Abstract Data

More information

Lecture 3 Linear Data Structures

Lecture 3 Linear Data Structures Lecture 3 Linear Data Structures - 1 - Learning Outcomes Based on this lecture, you should: Know the basic linear data structures Be able to express each as an Abstract Data Type (ADT) Be able to specify

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

CS 211 Programming Practicum Spring 2018

CS 211 Programming Practicum Spring 2018 Due: Thursday, 4/5/18 at 11:59 pm Infix Expression Evaluator Programming Project 5 For this lab, write a C++ program that will evaluate an infix expression. The algorithm REQUIRED for this program will

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

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

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

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

CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 165] Postfix Expressions

CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 165] Postfix Expressions CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 165] Postfix Expressions We normally write arithmetic expressions using infix notation: the operator (such as +) goes in between the

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

Stacks and their Applications

Stacks and their Applications Stacks and their Applications Lecture 23 Sections 18.1-18.2 Robb T. Koether Hampden-Sydney College Fri, Mar 16, 2018 Robb T. Koether Hampden-Sydney College) Stacks and their Applications Fri, Mar 16, 2018

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

Project 1: Implementation of the Stack ADT and Its Application

Project 1: Implementation of the Stack ADT and Its Application Project 1: Implementation of the Stack ADT and Its Application Dr. Hasmik Gharibyan Deadlines: submit your files via handin by midnight (end of the day) on Thursday, 10/08/15. Late submission: submit your

More information

CSC 222: Computer Programming II. Spring 2005

CSC 222: Computer Programming II. Spring 2005 CSC 222: Computer Programming II Spring 2005 Stacks and recursion stack ADT push, pop, peek, empty, size ArrayList-based implementation, java.util.stack application: parenthesis/delimiter matching postfix

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

CS350: Data Structures Stacks

CS350: Data Structures Stacks Stacks James Moscola Department of Engineering & Computer Science York College of Pennsylvania James Moscola Stacks Stacks are a very common data structure that can be used for a variety of data storage

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

data structures and algorithms lecture 6

data structures and algorithms lecture 6 data structures and algorithms 2017 09 21 lecture 6 overview lower bound counting sort radix sort stacks queues material question we have seen for example insertion sort: worst-case in O(n 2 ) merge sort:

More information

DataStruct 5. Stacks, Queues, and Deques

DataStruct 5. Stacks, Queues, and Deques 2013-2 DataStruct 5. Stacks, Queues, and Deques Michael T. Goodrich, et. al, Data Structures and Algorithms in C++, 2 nd Ed., John Wiley & Sons, Inc., 2011. October 30, 2013 Advanced Networking Technology

More information

IT 4043 Data Structures and Algorithms. Budditha Hettige Department of Computer Science

IT 4043 Data Structures and Algorithms. Budditha Hettige Department of Computer Science IT 4043 Data Structures and Algorithms Budditha Hettige Department of Computer Science 1 Syllabus Introduction to DSA Abstract Data Types List Operation Using Arrays Stacks Queues Recursion Link List Sorting

More information

Chapter 2. Stack & Queues. M hiwa ahmad aziz

Chapter 2. Stack & Queues.   M hiwa ahmad aziz . Chapter 2 Stack & Queues www.raparinweb.com M hiwa ahmad aziz 1 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

More information

HOWDY! WELCOME TO CSCE 221 DATA STRUCTURES AND ALGORITHMS

HOWDY! WELCOME TO CSCE 221 DATA STRUCTURES AND ALGORITHMS HOWDY! WELCOME TO CSCE 221 DATA STRUCTURES AND ALGORITHMS SYLLABUS ABSTRACT DATA TYPES (ADTS) An abstract data type (ADT) is an abstraction of a data structure An ADT specifies: Data stored Operations

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

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

CS 211 Programming Practicum Fall 2018

CS 211 Programming Practicum Fall 2018 Due: Wednesday, 11/7/18 at 11:59 pm Infix Expression Evaluator Programming Project 5 For this lab, write a C++ program that will evaluate an infix expression. The algorithm REQUIRED for this program will

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

Stack Applications. Lecture 27 Sections Robb T. Koether. Hampden-Sydney College. Wed, Mar 29, 2017

Stack Applications. Lecture 27 Sections Robb T. Koether. Hampden-Sydney College. Wed, Mar 29, 2017 Stack Applications Lecture 27 Sections 18.7-18.8 Robb T. Koether Hampden-Sydney College Wed, Mar 29, 2017 Robb T. Koether Hampden-Sydney College) Stack Applications Wed, Mar 29, 2017 1 / 27 1 Function

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

Advanced Java Concepts Unit 3: Stacks and Queues

Advanced Java Concepts Unit 3: Stacks and Queues Advanced Java Concepts Unit 3: Stacks and Queues Stacks are linear collections in which access is completely restricted to just one end, called the top. Stacks adhere to a last-in, first-out protocol (LIFO).

More information

Data structure and algorithm in Python

Data structure and algorithm in Python Data structure and algorithm in Python Stacks, Queues and Deques Xiaoping Zhang School of Mathematics and Statistics, Wuhan University Table of contents 1. Stacks 2. Queue 3. Double-Ended Queues 1 Stacks

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

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

CSCI 204 Introduction to Computer Science II. Lab 6: Stack ADT

CSCI 204 Introduction to Computer Science II. Lab 6: Stack ADT CSCI 204 Introduction to Computer Science II 1. Objectives In this lab, you will practice the following: Learn about the Stack ADT Implement the Stack ADT using an array Lab 6: Stack ADT Use a Stack to

More information

COSC This week. List ADT. Abstract Data Type (ADT) Lis t ADT Implementations. Data Struc tures and Algorithms

COSC This week. List ADT. Abstract Data Type (ADT) Lis t ADT Implementations. Data Struc tures and Algorithms This week COSC 1030.03 Week 9, March 8, 2004 Read chapter 19 Work on assignment #3 Discussed in Tutorial this week Must have a partial solution shown to your TA next week. Data structures (continued) S

More information

Data Structures And Algorithms

Data Structures And Algorithms Data Structures And Algorithms Stacks Eng. Anis Nazer First Semester 2017-2018 Stack An Abstract data type (ADT) Accessed only on one end Similar to a stack of dishes you can add/remove on top of stack

More information

16. Dynamic Data Structures

16. Dynamic Data Structures Data Structures 6. Dynamic Data Structures A data structure is a particular way of organizing data in a computer so that it can be used efficiently Linked lists, Abstract data types stack, queue, Sorted

More information

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

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

Some Applications of Stack. Spring Semester 2007 Programming and Data Structure 1

Some Applications of Stack. Spring Semester 2007 Programming and Data Structure 1 Some Applications of Stack Spring Semester 2007 Programming and Data Structure 1 Arithmetic Expressions Polish Notation Spring Semester 2007 Programming and Data Structure 2 What is Polish Notation? Conventionally,

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

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

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

An Introduction to Trees

An Introduction to Trees An Introduction to Trees Alice E. Fischer Spring 2017 Alice E. Fischer An Introduction to Trees... 1/34 Spring 2017 1 / 34 Outline 1 Trees the Abstraction Definitions 2 Expression Trees 3 Binary Search

More information

Building Java Programs

Building Java Programs Building Java Programs Appendix Q Lecture Q-1: stacks and queues reading: appendix Q 2 Runtime Efficiency (13.2) efficiency: measure of computing resources used by code. can be relative to speed (time),

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

Linked List Implementation of Queues

Linked List Implementation of Queues Outline queue implementation: linked queue application of queues and stacks: data structure traversal double-ended queues application of queues: simulation of an airline counter random numbers recursion

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

Stack ADT. B/W Confirming Pages

Stack ADT. B/W Confirming Pages wu23399_ch19.qxd 1/2/07 20:46 Page 1035 19 Stack ADT O b j e c t i v e s After you have read and studied this chapter, you should be able to Describe the key features of the Stack ADT. Develop applications

More information

CS 106B Lecture 5: Stacks and Queues

CS 106B Lecture 5: Stacks and Queues CS 106B Lecture 5: Stacks and Queues Monday, July 3, 2017 Programming Abstractions Summer 2017 Stanford University Computer Science Department Lecturer: Chris Gregg reading: Programming Abstractions in

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

Assignment 5. Introduction

Assignment 5. Introduction Assignment 5 Introduction The objectives of this assignment are to exercise a few advanced object oriented programming and basic data structures concepts. The first mini-goal is to understand that objects

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

SimpleCalc. which can be entered into a TI calculator, like the one on the right, like this:

SimpleCalc. which can be entered into a TI calculator, like the one on the right, like this: !! SimpleCalc Objective: To use stacks to emulate a simple arithmetic calculator. Background: Most people learn to write arithmetic expressions like this: which can be entered into a TI calculator, like

More information

MULTIMEDIA COLLEGE JALAN GURNEY KIRI KUALA LUMPUR

MULTIMEDIA COLLEGE JALAN GURNEY KIRI KUALA LUMPUR STUDENT IDENTIFICATION NO MULTIMEDIA COLLEGE JALAN GURNEY KIRI 54100 KUALA LUMPUR FIFTH SEMESTER FINAL EXAMINATION, 2014/2015 SESSION PSD2023 ALGORITHM & DATA STRUCTURE DSEW-E-F-2/13 25 MAY 2015 9.00 AM

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

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

First Semester - Question Bank Department of Computer Science Advanced Data Structures and Algorithms...

First Semester - Question Bank Department of Computer Science Advanced Data Structures and Algorithms... First Semester - Question Bank Department of Computer Science Advanced Data Structures and Algorithms.... Q1) What are some of the applications for the tree data structure? Q2) There are 8, 15, 13, and

More information

Stack Implementation

Stack Implementation Stack Implementation (In Java Using BlueJ) What is BlueJ? BlueJ is a Java integrated development environment (IDE) which has been designed specifically for learning object oriented programming in Java.

More information

15. Stacks and Queues

15. Stacks and Queues COMP1917 15s2 15. Stacks and Queues 1 COMP1917: Computing 1 15. Stacks and Queues Reading: Moffat, Section 10.1-10.2 Overview Stacks Queues Adding to the Tail of a List Efficiency Issues Queue Structure

More information

Postfix Notation is a notation in which the operator follows its operands in the expression (e.g ).

Postfix Notation is a notation in which the operator follows its operands in the expression (e.g ). Assignment 5 Introduction For this assignment, you will write classes to evaluate arithmetic expressions represented as text. For example, the string "1 2 ( * 4)" would evaluate to 15. This process will

More information

Stacks (Section 2) By: Pramod Parajuli, Department of Computer Science, St. Xavier s College, Nepal.

Stacks (Section 2) By: Pramod Parajuli, Department of Computer Science, St. Xavier s College, Nepal. (Section 2) Linked list implementation of stack Typical Application of stacks Evaluation of expressions (infix, postfix, prefix) References and further details By: Pramod Parajuli, Department of Computer

More information

List ADT. B/W Confirming Pages

List ADT. B/W Confirming Pages wu3399_ch8.qxd //7 :37 Page 98 8 List ADT O b j e c t i v e s After you have read and studied this chapter, you should be able to Describe the key features of the List ADT. the List ADT using an array

More information

09 STACK APPLICATION DATA STRUCTURES AND ALGORITHMS REVERSE POLISH NOTATION

09 STACK APPLICATION DATA STRUCTURES AND ALGORITHMS REVERSE POLISH NOTATION DATA STRUCTURES AND ALGORITHMS 09 STACK APPLICATION REVERSE POLISH NOTATION IMRAN IHSAN ASSISTANT PROFESSOR, AIR UNIVERSITY, ISLAMABAD WWW.IMRANIHSAN.COM LECTURES ADAPTED FROM: DANIEL KANE, NEIL RHODES

More information

Lists are great, but. Stacks 2

Lists are great, but. Stacks 2 Stacks Lists are great, but Lists are simply collections of items Useful, but nice to have some meaning to attach to them Restrict operations to create useful data structures We want to have ADTs that

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

[CS302-Data Structures] Homework 2: Stacks

[CS302-Data Structures] Homework 2: Stacks [CS302-Data Structures] Homework 2: Stacks Instructor: Kostas Alexis Teaching Assistants: Shehryar Khattak, Mustafa Solmaz, Bishal Sainju Fall 2018 Semester Section 1. Stack ADT Overview wrt Provided Code

More information

Outline. Introduction Stack Operations Stack Implementation Implementation of Push and Pop operations Applications. ADT for stacks

Outline. Introduction Stack Operations Stack Implementation Implementation of Push and Pop operations Applications. ADT for stacks Stack Chapter 4 Outline Introduction Stack Operations Stack Implementation Implementation of Push and Pop operations Applications Recursive Programming Evaluation of Expressions ADT for stacks Introduction

More information

CISC-235. At this point we fnally turned our atention to a data structure: the stack

CISC-235. At this point we fnally turned our atention to a data structure: the stack CISC-235 20180918 At this point we fnally turned our atention to a data structure: the stack A stack is our frst example of an Abstract Data Type: we specify the operations we need to be able to perform

More information