This lecture. Abstract Data Types (ADTs) The Stack ADT ( 4.2) Stacks. Stack Interface in Java. Exceptions. Abstract data types Stacks Queues

Size: px
Start display at page:

Download "This lecture. Abstract Data Types (ADTs) The Stack ADT ( 4.2) Stacks. Stack Interface in Java. Exceptions. Abstract data types Stacks Queues"

Transcription

1 This lectue Abstact data types Stacks ueues Abstact Data Types (ADTs) An abstact data type (ADT) is an abstaction o a data stuctue An ADT speciies: Data stoed Opeations on the data Eo conditions associated with opeations Example: ADT modeling a simple stock tading system The data stoed ae buy/sell odes The opeations suppoted ae ode buy(stock, shaes, pice) ode sell(stock, shaes, pice) void cancel(ode) Eo conditions: Buy/sell a nonexistent stock Cancel a nonexistent ode ADTs, Stacks, ueues 1 ADTs, Stacks, ueues 2 The Stack ADT ( 4.2) Stacks The Stack ADT stoes abitay objects Insetions and deletions ollow the last-in ist-out scheme Think o a sping-loaded plate dispense Main stack opeations: push(object): insets an element object pop(): emoves and etuns the last inseted element Auxiliay stack opeations: object top(): etuns the last inseted element without emoving it intege size(): etuns the numbe o elements stoed boolean isempty(): indicates whethe no elements ae stoed ADTs, Stacks, ueues 3 ADTs, Stacks, ueues 4 Stack Inteace in Java Exceptions Java inteace coesponding to ou Stack ADT Requies the deinition o class EmptyStackException Dieent om the built-in Java class java.util.stack public inteace Stack { public int size(); public boolean isempty(); public Object top() thows EmptyStackException; public void push(object o); public Object pop() thows EmptyStackException; Attempting the execution o an opeation o ADT may sometimes cause an eo condition, called an exception Exceptions ae said to be thown by an opeation that cannot be executed In the Stack ADT, opeations pop and top cannot be peomed i the stack is empty Attempting the execution o pop o top on an empty stack thows an EmptyStackException ADTs, Stacks, ueues 5 ADTs, Stacks, ueues 6 1

2 Applications o Stacks Diect applications Page-visited histoy in a Web bowse Undo sequence in a text edito Chain o method calls in the Java Vitual Machine Indiect applications Auxiliay data stuctue o algoithms Component o othe data stuctues ADTs, Stacks, ueues 7 Method Stack in the JVM The Java Vitual Machine (JVM) keeps tack o the chain o active methods with a stack When a method is called, the JVM pushes on the stack a ame containing Local vaiables and etun value Pogam counte, keeping tack o the statement being executed When a method ends, its ame is popped om the stack and contol is passed to the method on top o the stack Allows o ecusion main() { int i = 5; oo(i); oo(int j) { int k; k = j+1; ba(k); ba(int m) { ba PC = 1 m = 6 oo PC = 3 j = 5 k = 6 main PC = 2 i = 5 ADTs, Stacks, ueues 8 Aay-based Stack Aay-based Stack (cont.) A simple way o implementing the Stack ADT uses an aay We add elements om let to ight A vaiable keeps tack o the index o the top element Algoithm size() etun t +1 Algoithm pop() i isempty() then thow EmptyStackException t t 1 etun S[t +1] The aay stoing the stack elements may become ull A push opeation will then thow a FullStackException Limitation o the aaybased implementation Not intinsic to the Stack ADT Algoithm push(o) i t = S.length 1 then thow FullStackException t t +1 S[t] o S t ADTs, Stacks, ueues 9 S t ADTs, Stacks, ueues 10 Peomance and Limitations Aay-based Stack in Java Peomance Let n be the numbe o elements in the stack The space used is O(n) Each opeation uns in time O(1) Limitations The maximum size o the stack must be deined a pioi and cannot be changed Tying to push a new element into a ull stack causes an implementation-speciic exception public class AayStack implements Stack { // holds the stack elements pivate Object S[ ]; // index to top element pivate int top = -1; // constucto public AayStack(int capacity) { S = new Object[capacity]); public Object pop() thows EmptyStackException { i isempty() thow new EmptyStackException ( Empty stack: cannot pop ); Object temp = S[top]; // acilitates gabage collection S[top] = null; top = top 1; etun temp; ADTs, Stacks, ueues 11 ADTs, Stacks, ueues 12 2

3 Paentheses Matching Each (, {, o [ must be paied with a matching ),, o [ coect: ( )(( )){([( )]) coect: ((( )(( )){([( )]) incoect: )(( )){([( )]) incoect: ({[ ]) incoect: ( Paentheses Matching Algoithm Algoithm PaenMatch(X,n): Input: An aay X o n tokens, each o which is eithe a gouping symbol, a vaiable, an aithmetic opeato, o a numbe Output: tue i and only i all the gouping symbols in X match ADTs, Stacks, ueues 13 ADTs, Stacks, ueues 14 Paentheses Matching Algoithm Let S be an empty stack o i=0 to n-1 do i X[i] is an opening gouping symbol then S.push(X[i]) i X[i] is a closing gouping symbol then i S.isEmpty() then etun alse {nothing to match with i S.pop() does not match the type o X[i] then etun alse {wong type i S.isEmpty() then etun tue {evey symbol matched etun alse {some symbols wee neve matched ADTs, Stacks, ueues 15 ueues ADTs, Stacks, ueues 16 The ueue ADT ( 4.3) The ueue ADT stoes abitay objects Insetions and deletions ollow the ist-in ist-out scheme Insetions ae at the ea o the queue and emovals ae at the ont o the queue Main queue opeations: enqueue(object): insets an element at the end o the queue object dequeue(): emoves and etuns the element at the ont o the queue Auxiliay queue opeations: object ont(): etuns the element at the ont without emoving it intege size(): etuns the numbe o elements stoed boolean isempty(): indicates whethe no elements ae stoed Exceptions Attempting the execution o dequeue o ont on an empty queue thows an EmptyueueException ueue Example Opeation Output enqueue(5) (5) enqueue(3) (5, 3) dequeue() 5 (3) enqueue(7) (3, 7) dequeue() 3 (7) ont() 7 (7) dequeue() 7 () dequeue() eo () ADTs, Stacks, ueues 17 ADTs, Stacks, ueues 18 3

4 ueue Example Opeation Output isempty() tue () enqueue(9) (9) enqueue(7) (9, 7) size() 2 (9, 7) enqueue(3) (9, 7, 3) enqueue(5) (9, 7, 3, 5) dequeue() 9 (7, 3, 5) Applications o ueues Diect applications Waiting lists, bueaucacy Access to shaed esouces (e.g., pinte) Multipogamming Indiect applications Auxiliay data stuctue o algoithms Component o othe data stuctues ADTs, Stacks, ueues 19 ADTs, Stacks, ueues 20 Aay-based ueue Use an aay o size N in a cicula ashion Two vaiables keep tack o the ont and ea index o the ont element index immediately past the ea element Aay location is kept empty nomal coniguation wapped-aound coniguation 012 ADTs, Stacks, ueues 21 ueue Opeations We use the modulo opeato (emainde o division) Algoithm size() etun (N + ) mod N Algoithm isempty() etun ( = ) 012 ADTs, Stacks, ueues 22 ueue Opeations (cont.) Opeation enqueue thows an exception i the aay is ull This exception is implementationdependent 012 Algoithm enqueue(o) i size() = N 1 then thow FullueueException [] o ( + 1) mod N ueue Opeations (cont.) Opeation dequeue thows an exception i the queue is empty This exception is speciied in the queue ADT 012 Algoithm dequeue() i isempty() then thow EmptyueueException o [] ( + 1) mod N etun o ADTs, Stacks, ueues 23 ADTs, Stacks, ueues 24 4

5 ueue Inteace in Java Aay-based ueue in Java Java inteace coesponding to ou ueue ADT Requies the deinition o class EmptyueueException No coesponding built-in Java class public inteace ueue { public int size(); public boolean isempty(); public Object ont() thows EmptyueueException; public void enqueue(object o); public Object dequeue() thows EmptyueueException; public class Aayueue implements ueue { // holds the queue elements pivate Object [ ]; // ont, end+1, size pivate int,, s; // constucto public Aayueue(int capacity) { = new Object[capacity+1]); public void enqueue(object o) thows FullueueException { i (s ==.length - 1) thow new FullueueException ( The queue is ull ); [] = o; = ( + 1)%(.length); s++; // add othe methods yousel ADTs, Stacks, ueues 25 ADTs, Stacks, ueues 26 Application: Round Robin Schedules We can implement a ound obin schedule using a queue,, by epeatedly peoming the ollowing steps: 1. e =.dequeue() 2. Sevice element e 3..enqueue(e) 1. Deque the next element The ueue 2. Sevice the next element 3. Enqueue the seviced element Summay Stacks and ueues ae abstact data types Stack is LIFO, ueue is FIFO Useul data stuctues, oten auxiliay Can be implemented eiciently using an aay, but this implementation has disadvantages (stack o queue may get ull) We ll see othe implementations (using lists) late in the couse Shaed Sevice ADTs, Stacks, ueues 27 ADTs, Stacks, ueues 28 5

How many times is the loop executed? middle = (left+right)/2; if (value == arr[middle]) return true;

How many times is the loop executed? middle = (left+right)/2; if (value == arr[middle]) return true; This lectue Complexity o binay seach Answes to inomal execise Abstact data types Stacks ueues ADTs, Stacks, ueues 1 binayseach(int[] a, int value) { while (ight >= let) { { i (value < a[middle]) ight =

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

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

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 (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

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

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 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

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. 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

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

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 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

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: 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

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

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

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

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

Queues COL 106. Slides by Amit Kumar, Shweta Agrawal

Queues COL 106. Slides by Amit Kumar, Shweta Agrawal Queues COL 106 Slides by Amit Kumar, Shweta Agrawal The Queue ADT The Queue ADT stores arbitrary objects Insertions and deletions follow the first-in first-out (FIFO) scheme Insertions are at the rear

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

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

The Java Virtual Machine. Compiler construction The structure of a frame. JVM stacks. Lecture 2

The Java Virtual Machine. Compiler construction The structure of a frame. JVM stacks. Lecture 2 Compile constuction 2009 Lectue 2 Code geneation 1: Geneating code The Java Vitual Machine Data types Pimitive types, including intege and floating-point types of vaious sizes and the boolean type. The

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

CPSC 221: Algorithms and Data Structures Lecture #1: Stacks and Queues

CPSC 221: Algorithms and Data Structures Lecture #1: Stacks and Queues CPSC 221: Algorithms and Data Structures Lecture #1: Stacks and Queues Alan J. Hu (Slides borrowed from Steve Wolfman) Be sure to check course webpage! http://www.ugrad.cs.ubc.ca/~cs221 1 Lab 1 is available.

More information

CPSC 221: Algorithms and Data Structures ADTs, Stacks, and Queues

CPSC 221: Algorithms and Data Structures ADTs, Stacks, and Queues CPSC 221: Algorithms and Data Structures ADTs, Stacks, and Queues Alan J. Hu (Slides borrowed from Steve Wolfman) Be sure to check course webpage! http://www.ugrad.cs.ubc.ca/~cs221 1 Lab 1 available very

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

GARBAGE COLLECTION METHODS. Hanan Samet

GARBAGE COLLECTION METHODS. Hanan Samet gc0 GARBAGE COLLECTION METHODS Hanan Samet Compute Science Depatment and Cente fo Automation Reseach and Institute fo Advanced Compute Studies Univesity of Mayland College Pak, Mayland 07 e-mail: hjs@umiacs.umd.edu

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

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

Insertions and removals follow the Fist-In First-Out rule: Insertions: at the rear of the queue Removals: at the front of the queue Queues CSE 2011 Fall 2009 9/28/2009 7:56 AM 1 Queues: FIFO Insertions and removals follow the Fist-In First-Out rule: Insertions: at the rear of the queue Removals: at the front of the queue Applications,

More information

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

Monitors. Lecture 6. A Typical Monitor State. wait(c) Signal and Continue. Signal and What Happens Next?

Monitors. Lecture 6. A Typical Monitor State. wait(c) Signal and Continue. Signal and What Happens Next? Monitos Lectue 6 Monitos Summay: Last time A combination of data abstaction and mutual exclusion Automatic mutex Pogammed conditional synchonisation Widely used in concuent pogamming languages and libaies

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

Standard ADTs. Lecture 19 CS2110 Summer 2009

Standard ADTs. Lecture 19 CS2110 Summer 2009 Standard ADTs Lecture 19 CS2110 Summer 2009 Past Java Collections Framework How to use a few interfaces and implementations of abstract data types: Collection List Set Iterator Comparable Comparator 2

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

a Not yet implemented in current version SPARK: Research Kit Pointer Analysis Parameters Soot Pointer analysis. Objectives

a Not yet implemented in current version SPARK: Research Kit Pointer Analysis Parameters Soot Pointer analysis. Objectives SPARK: Soot Reseach Kit Ondřej Lhoták Objectives Spak is a modula toolkit fo flow-insensitive may points-to analyses fo Java, which enables expeimentation with: vaious paametes of pointe analyses which

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

CSC148H Week 3. Sadia Sharmin. May 24, /20

CSC148H Week 3. Sadia Sharmin. May 24, /20 CSC148H Week 3 Sadia Sharmin May 24, 2017 1/20 Client vs. Developer I For the first couple of weeks, we have played the role of class designer I However, you are also often in the opposite role: when a

More information

CSC148 Week 2. Larry Zhang

CSC148 Week 2. Larry Zhang CSC148 Week 2 Larry Zhang 1 Admin Discussion board is up (link on the course website). 2 Outline for this week Abstract Data Type Stack Queue 3 Abstract Data Type (ADT) 4 What is an abstract data type

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

Stacks and Queues. Introduction to abstract data types (ADTs) Stack ADT. Queue ADT. Time permitting: additional Comparator example

Stacks and Queues. Introduction to abstract data types (ADTs) Stack ADT. Queue ADT. Time permitting: additional Comparator example Stacks and Queues Introduction to abstract data types (ADTs) Stack ADT applications interface for Java Stack ex use: reverse a sequence of values Queue ADT applications interface for Java Queue Time permitting:

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

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

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

Elementary Data Structures. Stacks, Queues, & Lists Amortized analysis Trees

Elementary Data Structures. Stacks, Queues, & Lists Amortized analysis Trees Elementary Data Structures Stacks, Queues, & Lists Amortized analysis Trees The Stack ADT ( 2.1.1) The Stack ADT stores arbitrary objects Insertions and deletions follow the last-in first-out scheme Think

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

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

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

== isn t always equal?

== isn t always equal? == isn t always equal? In Java, == does the expected for primitives. int a = 26; int b = 26; // a == b is true int a = 13; int b = 26; // a == b is false Comparing two references checks if they are pointing

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

Chapter 18: Stacks And Queues

Chapter 18: Stacks And Queues Chapter 18: Stacks And Queues 18.1 Introduction to the Stack ADT Introduction to the Stack ADT Stack: a LIFO (last in, first out) data structure Examples: plates in a cafeteria return addresses for function

More information

Apply to be a Meiklejohn! tinyurl.com/meikapply

Apply to be a Meiklejohn! tinyurl.com/meikapply Apply to be a Meiklejohn! tinyurl.com/meikapply Seeking a community to discuss the intersections of CS and positive social change? Interested in facilitating collaborations between students and non-profit

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

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

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

dc - Linux Command Dc may be invoked with the following command-line options: -V --version Print out the version of dc

dc - Linux Command Dc may be invoked with the following command-line options: -V --version Print out the version of dc - CentOS 5.2 - Linux Uses Guide - Linux Command SYNOPSIS [-V] [--vesion] [-h] [--help] [-e sciptexpession] [--expession=sciptexpession] [-f sciptfile] [--file=sciptfile] [file...] DESCRIPTION is a evese-polish

More information

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

Chapter 18: Stacks And Queues. Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 18: Stacks And Queues Copyright 2009 Pearson Education, Inc. Copyright Publishing as Pearson 2009 Addison-Wesley Pearson Education, Inc. Publishing as Pearson Addison-Wesley 18.1 Introduction to

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

Chapter 18: Stacks And Queues

Chapter 18: Stacks And Queues Chapter 18: Stacks And Queues 18.1 Introduction to the Stack ADT Introduction to the Stack ADT Stack a LIFO (last in, first out) data structure Examples plates in a cafeteria return addresses for function

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

3/1/18. Overview. Program Representations. Abstract Syntax Tree (AST) Eclipse JDT. Java Model. The Tree Structure of Java Project[2]

3/1/18. Overview. Program Representations. Abstract Syntax Tree (AST) Eclipse JDT. Java Model. The Tree Structure of Java Project[2] Oveview Pogam Reesentations Abstact Syntax Tee Eclise JDT Java Model Eclise JDT AST Contol Flow Gah Pogam Deendence Gah Points-to Gah Call Gah 2 Abstact Syntax Tee (AST) Ceated by the comile at the end

More information

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

1/22/13. Queue? CS 200 Algorithms and Data Structures. Implementing Queue Comparison implementations. Photo by David Jump 9. Colorado State University //3 Part Queues CS Algorithms and Data Structures Outline Queue? Implementing Queue Comparison implementations 8 Photo by David Jump 9 //3 "Grill the Buffs" event Queue A queue is like a line of people

More information

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

1/22/13. Queue. Create an empty queue Determine whether a queue is empty Add a new item to the queue Outline Part Queues Queue? Implementing Queue Comparison implementations CS Algorithms and Data Structures 8 "Grill the Buffs" event Photo by David Jump 9 Queue A queue is like a line of people New item

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

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

Information Science 2

Information Science 2 Information Science 2 - Basic Data Structures- Week 02 College of Information Science and Engineering Ritsumeikan University Today s class outline l Basic data structures: Definitions and implementation

More information

CSE 326 Team. Today s Outline. Course Information. Instructor: Steve Seitz. Winter Lecture 1. Introductions. Web page:

CSE 326 Team. Today s Outline. Course Information. Instructor: Steve Seitz. Winter Lecture 1. Introductions. Web page: CSE 326 Team CSE 326: Data Structures Instructor: Steve Seitz TAs: Winter 2009 Steve Seitz Lecture 1 Eric McCambridge Brent Sandona Soyoung Shin Josh Barr 2 Today s Outline Introductions Administrative

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

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

Queue? Part 4. Queues. Photo by David Jump. Create an empty queue Items leave a queue from its front. /3/ Outline Queue? Part Queues Implementing Queue Comparison implementations CS Algorithms and Data Structures "Grill the Buffs" event 9/ 3 Photo by David Jump Queue OperaLons A queue is like a line of

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

Assignment 1. Check your mailbox on Thursday! Grade and feedback published by tomorrow.

Assignment 1. Check your mailbox on Thursday! Grade and feedback published by tomorrow. Assignment 1 Check your mailbox on Thursday! Grade and feedback published by tomorrow. COMP250: Queues, deques, and doubly-linked lists Lecture 20 Jérôme Waldispühl School of Computer Science McGill University

More information

COEN-4730 Computer Architecture Lecture 2 Review of Instruction Sets and Pipelines

COEN-4730 Computer Architecture Lecture 2 Review of Instruction Sets and Pipelines 1 COEN-4730 Compute Achitectue Lectue 2 Review of nstuction Sets and Pipelines Cistinel Ababei Dept. of Electical and Compute Engineeing Maquette Univesity Cedits: Slides adapted fom pesentations of Sudeep

More information

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

Please note that if you write the mid term in pencil, you will not be allowed to submit a remark request. University of Toronto CSC148 Introduction to Computer Science Fall 2001 Mid Term Test Section L5101 Duration: 50 minutes Aids allowed: none Make sure that your examination booklet has 8 pages (including

More information

Query Language #1/3: Relational Algebra Pure, Procedural, and Set-oriented

Query Language #1/3: Relational Algebra Pure, Procedural, and Set-oriented Quey Language #1/3: Relational Algeba Pue, Pocedual, and Set-oiented To expess a quey, we use a set of opeations. Each opeation takes one o moe elations as input paamete (set-oiented). Since each opeation

More information

CSE 373 SEPTEMBER 29 STACKS AND QUEUES

CSE 373 SEPTEMBER 29 STACKS AND QUEUES CSE 373 SEPTEMBER 29 STACKS AND QUEUES DESIGN DECISIONS Shopping list? DESIGN DECISIONS Shopping list? What sorts of behavior do shoppers exhibit? What constraints are there on a shopper? What improvements

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

Discussion 2C Notes (Week 3, January 21) TA: Brian Choi Section Webpage:

Discussion 2C Notes (Week 3, January 21) TA: Brian Choi Section Webpage: Discussion 2C Notes (Week 3, January 21) TA: Brian Choi (schoi@cs.ucla.edu) Section Webpage: http://www.cs.ucla.edu/~schoi/cs32 Abstraction In Homework 1, you were asked to build a class called Bag. Let

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

Ch02 Data Structures

Ch02 Data Structures Presentation for use with the textbook Algorithm Design and Applications, by M. T. Goodrich and R. Tamassia, Wiley, 2015 Ch02 Data Structures xkcd Seven http://xkcd.com/1417/ Used with permission under

More information

Ch02 Data Structures

Ch02 Data Structures Presentation for use with the textbook Algorithm Design and Applications, by M. T. Goodrich and R. Tamassia, Wiley, 2015 Ch02 Data Structures xkcd Seven http://xkcd.com/1417/ Used with permission under

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

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

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

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

Name CPTR246 Spring '17 (100 total points) Exam 3 Name CPTR246 Spring '17 (100 total points) Exam 3 1. Linked Lists Consider the following linked list of integers (sorted from lowest to highest) and the changes described. Make the necessary changes in

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

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

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

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

Linked Structures. See Section 3.2 of the text.

Linked Structures. See Section 3.2 of the text. Linked Structures See Section 3.2 of the text. First, notice that Java allows classes to be recursive, in the sense that a class can have an element which is itself an object of that class: class Person

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. 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

CSE 332: Data Structures. Spring 2016 Richard Anderson Lecture 1

CSE 332: Data Structures. Spring 2016 Richard Anderson Lecture 1 CSE 332: Data Structures Spring 2016 Richard Anderson Lecture 1 CSE 332 Team Instructors: Richard Anderson anderson at cs TAs: Hunter Zahn, Andrew Li hzahn93 at cs lia4 at cs 2 Today s Outline Introductions

More information

Topic 4 Root Finding

Topic 4 Root Finding Couse Instucto D. Ramond C. Rump Oice: A 337 Phone: (915) 747 6958 E Mail: cump@utep.edu Topic 4 EE 4386/531 Computational Methods in EE Outline Intoduction Backeting Methods The Bisection Method False

More information

2D Transformations. Why Transformations. Translation 4/17/2009

2D Transformations. Why Transformations. Translation 4/17/2009 4/7/9 D Tansfomations Wh Tansfomations Coodinate sstem tansfomations Placing objects in the wold Move/animate the camea fo navigation Dawing hieachical chaactes Animation Tanslation + d 5,4 + d,3 d 4,

More information

CENG 3420 Computer Organization and Design. Lecture 07: MIPS Processor - II. Bei Yu

CENG 3420 Computer Organization and Design. Lecture 07: MIPS Processor - II. Bei Yu CENG 3420 Compute Oganization and Design Lectue 07: MIPS Pocesso - II Bei Yu CEG3420 L07.1 Sping 2016 Review: Instuction Citical Paths q Calculate cycle time assuming negligible delays (fo muxes, contol

More information

Queues. Stacks and Queues

Queues. Stacks and Queues Queues Reading: RS Chapter 14 Slides are modified from those provided by Marty Stepp www.buildingjavaprograms.com 1 Stacks and Queues Sometimes a less powerful, but highly optimized collection is useful.

More information

Queues. Lesson 4. CS 32: Data Structures Dept. of Computer Science

Queues. Lesson 4. CS 32: Data Structures Dept. of Computer Science Queues Lesson 4 Outline What is a queue? Straight queue Circular Queue Sequential Implementation Linked Implementation Application: Topological sort Deques Final Notes Outline What is a queue? Straight

More information

.:: UNIT 4 ::. STACK AND QUEUE

.:: UNIT 4 ::. STACK AND QUEUE .:: UNIT 4 ::. STACK AND QUEUE 4.1 A stack is a data structure that supports: Push(x) Insert x to the top element in stack Pop Remove the top item from stack A stack is collection of data item arrange

More information