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

Size: px
Start display at page:

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

Transcription

1 CSE 2100 Data Structures and Algorithms... In Java Stacks 1

2 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 web browsers store the addresses of recently visited website on a stack, which allows the user to "pop" back to previously visited sites using the "back" button Text editors usually provide an "undo" mechanism that cancels recent editing operations and reverts to former states of a document. This undo operation can be accomplished by keeping text changes in a stack 2

3 The Stack ADT The Stack ADT stores arbitrary objects Insertions and deletions follow the LIFO scheme Main stack operations: push(object): inserts an element object pop(): removes and returns the last inserted element Auxiliary stack operations: object top(): returns the last inserted element without removing it integer size(): returns the number of elements stored boolean isempty(): indicates whether no elements are stored 3

4 Java Stack Interface public interface Stack<E> { int size(); boolean isempty(); void push(e e); E top(); E pop(); An interface is an empty shell, there are only the signatures of the methods, which implies that the methods do not have a body. The interface can't do anything. It's just a pattern. 4

5 Array Based Stack A simple way of implementing the Stack ADT uses an array We add elements from left to right A variable keeps track of the index of the top element The array storing the stack elements may become full S t 5

6 ArrayStack public class ArrayStack<E> implements Stack<E> { /** Default array capacity. */ public static final int CAPACITY=1000; // default array capacity /** Generic array used for storage of stack elements. */ private E[] data; // generic array used for storage /** Index of the top element of the stack in the array. */ private int t = -1; // index of the top element in stack /** Constructs an empty stack using the default array capacity. */ public ArrayStack() { this(capacity); // constructs stack with default capacity /** * Constructs and empty stack with the given array capacity. capacity length of the underlying array public ArrayStack(int capacity) { // constructs stack with given capacity data = (E[]) new Object[capacity]; // safe cast; compiler may give warning 6

7 ArrayStack public int size() { return (t + 1); public boolean isempty() { return (t == -1); public void push(e e) throws IllegalStateException { if (size() == data.length) throw new IllegalStateException("Stack is full"); data[++t] = e; // increment t before storing new item public E top() { if (isempty()) return null; return data[t]; public E pop() { if (isempty()) return null; E answer = data[t]; data[t] = null; t--; return answer; // dereference to help garbage collection 7

8 Stack using 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 nodes t elements 8

9 LinkedStack public class LinkedStack<E> implements Stack<E> { /** The primary storage for elements of the stack */ private SinglyLinkedList<E> list = new SinglyLinkedList<>(); // an empty list /** Constructs an initially empty stack. */ public LinkedStack() { // new stack relies on the initially empty list public int size() { return list.size(); public boolean isempty() { return list.isempty(); public void push(e element) { list.addfirst(element); public E top() { return list.first(); public E pop() { return list.removefirst(); 9

10 Parentheses Matching Each (, {, or [ must be paired with a matching ),, or [ correct: ( )(( )){([( )]) correct: ((( )(( )){([( )]) incorrect: )(( )){([( )]) incorrect: ({[ ]) incorrect: ( 10

11 Parentheses Matching 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 11

12 Parentheses Matching /** Tests if delimiters in the given expression are properly matched. */ public static boolean ismatched(string expression) { final String opening = "({["; // opening delimiters final String closing = ")]"; // respective closing delimiters Stack<Character> buffer = new LinkedStack<>(); for (char c : expression.tochararray()) { if (opening.indexof(c) = -1) // this is a left delimiter buffer.push(c); else if (closing.indexof(c) = -1) { // this is a right delimiter if (buffer.isempty()) // nothing to match with return false; if (closing.indexof(c) = opening.indexof(buffer.pop())) return false; // mismatched delimiter return buffer.isempty(); // were all opening delimiters matched? 12

13 HTML 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? 13

14 HTML Tag Matching /** Tests if every opening tag has a matching closing tag in HTML string. */ public static boolean ishtmlmatched(string html) { Stack<String> buffer = new LinkedStack<>(); int j = html.indexof('<'); // find first '<' character (if any) while (j = -1) { int k = html.indexof('>', j+1); // find next '>' character if (k == -1) return false; // invalid tag String tag = html.substring(j+1, k); // strip away < > if (tag.startswith("/")) // this is an opening tag buffer.push(tag); else { // this is a closing tag if (buffer.isempty()) return false; // no tag to match if (tag.substring(1).equals(buffer.pop())) return false; // mismatched tag j = html.indexof('<', k+1); // find next '<' character (if any) return buffer.isempty(); // were all opening tags matched? 14

15 Arithmetic Evaluation To evaluate an expression, such as 1+2*3+4, you need two stacks: one for operands (numbers), the other for operators: going left to right, If you see a number, push it on the number stack If you see an operator, While the top of the operator stack holds an operator of equal or higher precedence: pop the old operator pop the top two values from the number stack and apply the old operator to them push the result on the number stack push the new operator on the operator stack At the end, perform any remaining operations 15

16 Example: 1+2*3+4 1 : push 1 on number stack + : push + on op stack 2 : push 2 on number stack * : because * has higher precedence than +, push * onto op stack 3 : push 3 onto number stack + : because + has lower precedence than *: pop 3, 2, and * compute 2*3=6, and push 6 onto number stack push + onto op stack 4 : push 4 onto number stack end : pop 4, 6 and +, compute 6+4=10, push 10; pop 10, 1, and +, compute 1+10=11, push (at the top of the stack) is the answer 16

17 Example: 1+2* * *

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

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

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

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

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

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

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

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. 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

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

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

Stacks and Queues. EECS2030: Advanced Object Oriented Programming Fall 2017 CHEN-WEI WANG Stacks and Queues EECS2030: Advanced Object Oriented Programming Fall 2017 CHEN-WEI WANG What is a Stack? A stack is a collection of objects. Objects in a stack are inserted and removed according to the

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

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

The Stack ADT. Stacks and Queues. Stack: Illustration. What is a Stack? Accessors top size isempty The Stack ADT Stacks and Queues ADT Data Structure Interface add() remove() find() request result EECS200: Advanced Object Oriented Programming Fall 2017 CHEN-WEI WANG Accessors top Mutators push pop of

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

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

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

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

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

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

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

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

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

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

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

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

Generics in Java. EECS2030: Advanced Object Oriented Programming Fall 2017 CHEN-WEI WANG

Generics in Java. EECS2030: Advanced Object Oriented Programming Fall 2017 CHEN-WEI WANG Generics in Java EECS2030: Advanced Object Oriented Programming Fall 2017 CHEN-WEI WANG Motivating Example: A Book of Objects 1 class Book { 2 String[] names; 3 Object[] records; 4 /* add a name-record

More information

Motivating Example: Observations (1) Generics in Java. Motivating Example: A Book of Objects. Motivating Example: Observations (2)

Motivating Example: Observations (1) Generics in Java. Motivating Example: A Book of Objects. Motivating Example: Observations (2) Motivating Example: Observations (1) Generics in Java EECS2030: Advanced Object Oriented Programming Fall 2017 CHEN-WEI WANG In the Book class: By declaring the attribute Object[] records We meant that

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

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

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

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

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

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

Stacks. The unorganized person s data structure. stacks 1

Stacks. The unorganized person s data structure. stacks 1 Stacks The unorganized person s data structure stacks 1 Stack characteristics Entries are ordered in terms of access -- both insertion and removal take place at same spot (top of stack) Specialized type

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

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

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

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

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

CSIS 10B Lab 2 Bags and Stacks

CSIS 10B Lab 2 Bags and Stacks CSIS 10B Lab 2 Bags and Stacks Part A Bags and Inheritance In this part of the lab we will be exploring the use of the Bag ADT to manage quantities of data of a certain generic type (listed as T in the

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

-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

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

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

Abstract Data Types (ADTs) Stacks. The Stack ADT ( 4.2) Stack Interface in Java

Abstract Data Types (ADTs) Stacks. The Stack ADT ( 4.2) Stack Interface in Java Abstract Data Types (ADTs) tacks A abstract data type (ADT) is a abstractio of a data structure A ADT specifies: Data stored Operatios o the data Error coditios associated with operatios Example: ADT modelig

More information

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

CMPSCI 187: Programming With Data Structures. Lecture 12: Implementing Stacks With Linked Lists 5 October 2011 CMPSCI 187: Programming With Data Structures Lecture 12: Implementing Stacks With Linked Lists 5 October 2011 Implementing Stacks With Linked Lists Overview: The LinkedStack Class from L&C The Fields and

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

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

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

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

Data Structures using OOP C++ Lecture 9

Data Structures using OOP C++ Lecture 9 Stack A stack is an ordered group of homogeneous items or elements. The removal of existing items and the addition of new items can take place only at the top of the stack. The stack may be considered

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

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

CS 211. Project 5 Infix Expression Evaluation

CS 211. Project 5 Infix Expression Evaluation CS 211 Project 5 Infix Expression Evaluation Part 1 Create you own Stack Class Need two stacks one stack of integers for the operands one stack of characters for the operators Do we need 2 Stack Classes?

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

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

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

Basic Data Structures

Basic Data Structures Basic Data Structures Some Java Preliminaries Generics (aka parametrized types) is a Java mechanism that enables the implementation of collection ADTs that can store any type of data Stack s1

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

COMP 250. Lecture 8. stack. Sept. 25, 2017

COMP 250. Lecture 8. stack. Sept. 25, 2017 COMP 250 Lecture 8 stack Sept. 25, 2017 1 get(i) set(i,e) add(i,e) remove(i) remove(e) clear() isempty() size() What is a List (abstract)? // Returns the i-th element (but doesn't remove it) // Replaces

More information

Basic Data Structures 1 / 24

Basic Data Structures 1 / 24 Basic Data Structures 1 / 24 Outline 1 Some Java Preliminaries 2 Linked Lists 3 Bags 4 Queues 5 Stacks 6 Performance Characteristics 2 / 24 Some Java Preliminaries Generics (aka parametrized types) is

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

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

ITEC2620 Introduction to Data Structures

ITEC2620 Introduction to Data Structures 9//07 ITEC60 Introduction to Data Structures Lecture 7a ADTs and Stacks Abstract Data Types A way to specify the functionality of an entity without worrying about its implementation Similar to a JAVA interface

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

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

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

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

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

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

CSE 143 SAMPLE MIDTERM SOLUTION

CSE 143 SAMPLE MIDTERM SOLUTION CSE 143 SAMPLE MIDTERM SOLUTION 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

More information

CS 310: Array- and Linked-based Data Structures

CS 310: Array- and Linked-based Data Structures CS 310: Array- and Linked-based Data Structures Chris Kauffman Week 3-2 Logistics At Home Read Weiss Ch 15: ArrayList implementation Read Weiss Ch 16: Stacks and Queues implementation HW 1: Due Sunday

More information

Wentworth Institute of Technology COMP201 Computer Science II Spring 2015 Derbinsky. Stacks and Queues. Lecture 11.

Wentworth Institute of Technology COMP201 Computer Science II Spring 2015 Derbinsky. Stacks and Queues. Lecture 11. Lecture 11 1 More Data Structures In this lecture we will use a linked list to implement two abstract data types (ADT) An ADT provides the interface, or what a data structure does We can then use code

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

ITI Introduction to Computing II

ITI Introduction to Computing II ITI 1121. Introduction to Computing II Marcel Turcotte School of Electrical Engineering and Computer Science Abstract Data Type Stack Version of February 2, 2013 Abstract These lecture notes are meant

More information

Exceptions and Design

Exceptions and Design Exceptions and Exceptions and Table of contents 1 Error Handling Overview Exceptions RuntimeExceptions 2 Exceptions and Overview Exceptions RuntimeExceptions Exceptions Exceptions and Overview Exceptions

More information

Java Primer 1: Types, Classes and Operators

Java Primer 1: Types, Classes and Operators Java Primer 1 3/18/14 Presentation for use with the textbook Data Structures and Algorithms in Java, 6th edition, by M. T. Goodrich, R. Tamassia, and M. H. Goldwasser, Wiley, 2014 Java Primer 1: Types,

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

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

Examples. Stack. VideoPlayer

Examples. Stack. VideoPlayer Examples Stack VideoPlayer 1 Stack Interface public interface Stack public String pop (); public void push (String item); public String top (); public boolean isempty (); 2 public class ArrayStack implements

More information

Lecture 4: Stack Applications CS2504/CS4092 Algorithms and Linear Data Structures. Parentheses and Mathematical Expressions

Lecture 4: Stack Applications CS2504/CS4092 Algorithms and Linear Data Structures. Parentheses and Mathematical Expressions Lecture 4: Applications CS2504/CS4092 Algorithms and Linear Data Structures Dr Kieran T. Herley Department of Computer Science University College Cork Summary. Postfix notation for arithmetic expressions.

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

File Input and Output

File Input and Output CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 153] File Input and Output File I/O is much simpler than in Java. æ Include stdio.h to use built-in file functions and types æ Declare

More information

ITI Introduction to Computing II

ITI Introduction to Computing II ITI 1121. Introduction to Computing II Marcel Turcotte School of Electrical Engineering and Computer Science Abstract Data Type Stack Version of February 2, 2013 Abstract These lecture notes are meant

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

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

C Sc 127B Practice Test 2 Section Leader Your Name 100pts

C Sc 127B Practice Test 2 Section Leader Your Name 100pts C Sc 127B Practice Test 2 Section Leader Your Name 100pts Assume we have two collection class named Stack and Queue that have the appropriate messages: Stack public boolean isempty(); public void push(e

More information

Introduction to Computer Science II (ITI 1121) Midterm Examination

Introduction to Computer Science II (ITI 1121) Midterm Examination Introduction to Computer Science II (ITI 1121) Midterm Examination Instructor: Marcel Turcotte February 2008, duration: 2 hours Identification Student name: Student number: Signature: Instructions 1. 2.

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

Cosc 241 Programming and Problem Solving Lecture 9 (26/3/18) Collections and ADTs

Cosc 241 Programming and Problem Solving Lecture 9 (26/3/18) Collections and ADTs 1 Cosc 241 Programming and Problem Solving Lecture 9 (26/3/18) Collections and ADTs Michael Albert michael.albert@cs.otago.ac.nz Keywords: abstract data type, collection, generic class type, stack 2 Collections

More information

Queues. CITS2200 Data Structures and Algorithms. Topic 5

Queues. CITS2200 Data Structures and Algorithms. Topic 5 CITS2200 Data Structures and Algorithms Topic 5 Queues Implementations of the Queue ADT Queue specification Queue interface Block (array) representations of queues Recursive (linked) representations of

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

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

CSCI 200 Lab 4 Evaluating infix arithmetic expressions

CSCI 200 Lab 4 Evaluating infix arithmetic expressions CSCI 200 Lab 4 Evaluating infix arithmetic expressions Please work with your current pair partner on this lab. There will be new pairs for the next lab. Preliminaries In this lab you will use stacks and

More information

Introduction to Programming Using Java (98-388)

Introduction to Programming Using Java (98-388) Introduction to Programming Using Java (98-388) Understand Java fundamentals Describe the use of main in a Java application Signature of main, why it is static; how to consume an instance of your own class;

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

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

CMP Points Total Midterm Spring Version (16 Points) Multiple Choice: CMP-338 106 Points Total Midterm Spring 2017 Version 1 Instructions Write your name and version number on the top of the yellow paper. Answer all questions on the yellow paper. One question per page. Use

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