Maps,Hash(es) We need more second year reps

Size: px
Start display at page:

Download "Maps,Hash(es) We need more second year reps"

Transcription

1 Maps,Hash(es) We need more second year reps

2 Your on the run from the police and a shadowy secret government organization keen to kill you (it happens)

3 Real card/fake card Eve former co-worker has given you a credit card. If it s fake she s trying to kill you

4 Fortunately you know about

5 The Luhn algorithm Step 1 - Starting with the check digit double the value of every other digit (right to left every 2nd digit) Slide 5 is now slide 44

6 The Luhn algorithm Step 2 - If doubling of a number results in a two digits number, add up the digits to get a single digit number. This will results in eight single digit numbers.

7 The Luhn algorithm Step 3 - Now add the un-doubled digits to the odd places

8 The Luhn algorithm Step 4 Add the numbers up if they are a multiple of 10 it s genuine 90 % 10 == 0

9 Error detection from Jupiter to Earth

10 A pixel grid

11 Error detection = = 701 1!= 9 Some kind of error send again

12 Hashing

13 Hashing hash 1 haʃ nouna dish of cooked meat cut into small pieces and cooked again, usually with potatoes. North American a finely chopped mixture: a hash of raw tomatoes, chillies, and coriander. a mixture of jumbled incongruous things; a mess.

14 Hashing is not complex Big numbers go in. They get mashed up. Small number comes out Property Same input gives same output. Very hard to go backwwards ( from small to big )

15 passwords Each letter in your password is a number Combine numbers together Password P a s s w o r d =851

16 Passwords Never store password in database store hash of password as a number. It is possible to generate password which matches and get lucky, Limit attempts to about 5.

17 passwords Generally you make order important to. Like multiply each number by 2 as you add them up. Can get complex ( like xor ) P a s s w o r d w o r d p a s s

18 Java code Sytem.out.println( Hello world.hashcode()) ; //= System.out.println( hello world.hashcode()) ;// System.out.println( World hello.hashcode());//

19 (19 % 7 ) Modulus 7 ( 19 mod 7 ) = 5 Remainder after division If this isn t working for you don t worry. Just treat it as a scrambling thing

20 You want to keep student keys. You have 100 boxes. So you look at the last two digits So ID give 45 so goes in box so into box 13

21 0-9 bag bag coat bag purse bag bag bag bag 90-99

22 Depositing a bag Getting a bag Do you have my bag Look at number of card Look at last to digits Put in that slot. Look at number of card Look at last to digits look in that slot. Look at number of card Look at last to digits look in that slot. VERY QUICK VERY QUICK VERY QUICK

23 What happens to two 34s turn up W W If there is a bag in slot already ( a collision ) Or She adds 17 to the number and tries again. Puts two bags in one hole. Then asks is this your bag.

24 Handle collisions use a linked list

25 Maps In Java Maps use Keys ( index ) To return Values ( the thing being stored ).

26 Mapping converts on thing to another For example convert a location to treasure In a dictionary The key is the word The value is the defintion

27 Another word for a map is dictionary A dictionary maps one word to one definition.

28 Or an associative array (in php)

29 Creating a map // Map<FROM-TYPE,TO-TYPE> nameofmap Map<String,String> dictionary = new HashMap<String,String>(); dictionary.put( thing","an object that one need not, give a specific name to:"); Map<String,Integer> phonebook = new HashMap<String,Integer>(); phonebook.put("richard K", ) ;

30 Looking something up String definition = dictionary.get( Exposition"); if( definition!= null ) { // I found it. } Integer pnum = phonenumber.get("richard K"); if( pnum!= null ) { }

31 Check if something exists if( dictionary.containskey("thing") == true ) { String def = dictionary.get("thing"); }

32 Iterating over all ( with for each ) for( String key : dictionary.keyset()) { String def = dictionary.get( key) ; System.out.println( key + "-> " + def ) ; }

33 Iterating over all ( with for each ) for( String def: dictionary.values()) { System.out.println( key + "-> " + def ) ; }

34 Iterating over all ( with for each ) for (Map.Entry<String, Integer> entry : phonebook.entryset()) { } System.out.println( "name: " + entry.getkey() + "number: " + entry.getvalue());

35 Iterating over all ( with for each ) for (Map.Entry<String, Integer> entry : phonebook.entryset()) { } System.out.println( "name: " + entry.getkey() + "number: " + entry.getvalue());

36 The order of items in a HashMap is not the order you put them in ( get over it )

37 Linked list HashMap It s a linked list and a HashMap Keeps the original adding order Uses a bit more space shaving foam and a dessert topping

38 My Hashmapable class What do you do if you want to make your own class and put it into a Override hashcode(); This must return something which is the same each time but spreads all the values out.

39 Look at the first letter not the last digits Bag,bag, bag,bag, bagf, bag,

40 Make your own class - hashable Class Student { } int age ; String name ; public int hashcode() { int prime = 31; int result = 1; result = prime * result + age; result = prime * result + name.hashcode()); return result; }

41 Map is not part of the collection Interface

42 Who wrote Shakespeare's plays? Philip Marlow The other guy

43 Different words used at different rates

44 public class Freq { public static void main(string[] args) { Map<String, Integer> wordcount = new HashMap<String, Integer>(); String words[] = { To, be, or, not, to, be, etc. } ; for (String a : words) { Integer freq = m.get(a); if( freq == null ) { wordcount.put(a, 1); } else { wordcount.put(a, freq + 1); } } System.out.println(m.size() + " distinct words:"); System.out.println(m); } Notice use of Integer the class version of int. So you can compare }

45 public interface Map <K,V> { //Basic operations void clear(); public Set<K> keyset(); public Collection<V> values(); public Set<Map.Entry<K,V>>entrySet(); } V put(k key, V value); V get(object key); V remove(object key); boolean containskey(object key); boolean containsvalue(object value); int size(); boolean isempty(); //Bulk operations void putall(map<? extends K,? extends V> t);

46 TreeMap Another binary tree. Left Key right

47 TreeMap Another binary tree. Except has value not just key. Down side is you need to define compareto() not hashcode() Left Key Value right

48 public class Freq { public static void main(string[] args) { Map<String, Integer> wordcount = new TreeMap<String, Integer>(); String words[] = { To, be, or, not, to, be, etc. } ; for (String a : words) { Integer freq = m.get(a); if( freq == null ) { wordcount.put(a, 1); } else { wordcount.put(a, freq + 1); } } System.out.println(m.size() + " distinct words:"); System.out.println(m); } Notice use of Integer the class version of int. So you can compare }

49 public class Freq { public static void main(string[] args) { Map<String, Integer> wordcount = new LinkedHashMap <String, Integer>(); String words[] = { To, be, or, not, to, be, etc. } ; for (String a : words) { Integer freq = m.get(a); if( freq == null ) { wordcount.put(a, 1); } else { wordcount.put(a, freq + 1); } } System.out.println(m.size() + " distinct words:"); System.out.println(m); } }

50 Break 10 mins question who is Admiral Grace Hopper? What she contribute to computing?

51

52

53

54 public class Worker implements Runnable { public static void main (String[] args) { System.out.println("This is currently running on the main thread, " + "the id is: " + Thread.currentThread().getId()); Worker worker = new Worker(); Thread thread = new Thread(worker); thread.start(); } Multi-threading List<Integer> mylist public void run() { System.out.println("This is currently running on a separate thread, " + "the id is: " + Thread.currentThread().getId()); } }

55 List<Object> objlist = Collections.synchronizedList(new ArrayList<Object>()); Creating a list accessible from any class.

56

57 Interface Collection Specifies methods for adding an item (or a Collection of items); removing item(s); emptying itself completely; Intersecting with another Collection telling whether it contains an item, or all of another Collection; telling whether it equals another Collection Reporting its size; telling whether it is empty; Iterating over its members Computing a hash value Returning an array of its members

58 Interface Set is a subinterface of Collection It provides all the methods specified by Collection But importantly, a set may not contain a member twice adding an item which is already in the set has no effect A mathematical set abstraction Union, intersection, complement Two common implementations are TreeSet elements are stored in a binary tree HashSet elements are stored in a hashtable.

59

60 Interface List is a subinterface of Collection Abstracts the mathematical sequence Has a richer set of methods Can retrieve an item from a particular position in the list Can insert or put an item at a particular position Can find the position of an element Collections & Lists Can contain an element multiple times Defines an ordering of elements Iterator respects this order

61

62 Is this The End

63 sequel material Stuff we haven't covered and won t cover but would round out your education and make you a programming guru

64 Graphs or networks- Ways of computing shortest route

65 Priority Queues aka Heaps A queue you can add to the middle of.

66 Bags you don t care about order, you just want to hold stuff

67 Operations on Strings ( e.g. searching )

68 Two or three dimensional arrays Home of AI ( neural networks )

69 Parallel programming Running programs spread over multiple computers. CUDA ( programming GPU ). Still a heavy research area

70 Algorithms Ways of computing stuff which doesn t need clever ways of organizing the data. Eg sorting, searching, Why sometimes it s very important and algorithm is very slow. Next week

71 Remember We ( programmers ) hardly dead in ones we deal with many Everyday working your choosing a data structure Either while programming While planning Choose wisely Choose conceptual simplicity( choose clarity ) Programming time is your life Use pre-done methods over re-writing Choose speed Over slowness

72 Thank you!!! You ve been very cool to teach Think of me when your planning your third year project You need to have an idea of what your going to make before you end second year If you want more Remember to feed back to Student reps Next week back to a responsible adult!

Hash Table. Ric Glassey

Hash Table. Ric Glassey Hash Table Ric Glassey glassey@kth.se Overview Hash Table Aim: Describe the map abstract data type with efficient insertion, deletion and search operations Motivation: List data structures are divided

More information

Adam Blank Lecture 5 Winter 2019 CS 2. Introduction to Programming Methods

Adam Blank Lecture 5 Winter 2019 CS 2. Introduction to Programming Methods Adam Blank Lecture 5 Winter 2019 CS 2 Introduction to Programming Methods CS 2: Introduction to Programming Methods Java Collections Abstract Data Types (ADT) 1 Abstract Data Type An abstract data type

More information

Collections and Maps

Collections and Maps Software and Programming I Collections and Maps Roman Kontchakov / Carsten Fuhs Birkbeck, University of London Outline Array Lists Enhanced for Loop ArrayList and LinkedList Collection Interface Sets and

More information

A simple map: Hashtable

A simple map: Hashtable Using Maps A simple map: Hashtable To create a Hashtable, use: import java.util.*; Hashtable table = new Hashtable(); To put things into a Hashtable, use: table.put(key, value); To retrieve a value from

More information

11/27/12. CS202 Fall 2012 Lecture 11/15. Hashing. What: WiCS CS Courses: Inside Scoop When: Monday, Nov 19th from 5-7pm Where: SEO 1000

11/27/12. CS202 Fall 2012 Lecture 11/15. Hashing. What: WiCS CS Courses: Inside Scoop When: Monday, Nov 19th from 5-7pm Where: SEO 1000 What: WiCS CS Courses: Inside Scoop When: Monday, Nov 19th from -pm Where: SEO 1 Having trouble figuring out what classes to take next semester? Wish you had information on what CS course to take when?

More information

27/04/2012. Objectives. Collection. Collections Framework. "Collection" Interface. Collection algorithm. Legacy collection

27/04/2012. Objectives. Collection. Collections Framework. Collection Interface. Collection algorithm. Legacy collection Objectives Collection Collections Framework Concrete collections Collection algorithm By Võ Văn Hải Faculty of Information Technologies Summer 2012 Legacy collection 1 2 2/27 Collections Framework "Collection"

More information

Lecture 16: HashTables 10:00 AM, Mar 2, 2018

Lecture 16: HashTables 10:00 AM, Mar 2, 2018 CS18 Integrated Introduction to Computer Science Fisler, Nelson Lecture 16: HashTables 10:00 AM, Mar 2, 2018 Contents 1 Speeding up Lookup 1 2 Hashtables 2 2.1 Java HashMaps.......................................

More information

11-1. Collections. CSE 143 Java. Java 2 Collection Interfaces. Goals for Next Several Lectures

11-1. Collections. CSE 143 Java. Java 2 Collection Interfaces. Goals for Next Several Lectures Collections CSE 143 Java Collections Most programs need to store and access collections of data Collections are worth studying because... They are widely useful in programming They provide examples of

More information

Adam Blank Lecture 9 Autumn 2016 CSE 143. Computer Programming II

Adam Blank Lecture 9 Autumn 2016 CSE 143. Computer Programming II Adam Blank Lecture 9 Autumn 2016 CSE 143 Computer Programming II CSE 143: Computer Programming II Sets and Maps Outline 1 Sets 2 Foreach Loops 3 Maps Alice in Wonderland 1 Count the Number of Distinct

More information

Hash table basics mod 83 ate. ate

Hash table basics mod 83 ate. ate Hash table basics After today, you should be able to explain how hash tables perform insertion in amortized O(1) time given enough space ate hashcode() 82 83 84 48594983 mod 83 ate Topics: weeks 1-6 Reading,

More information

Sets and Maps. Part of the Collections Framework

Sets and Maps. Part of the Collections Framework Sets and Maps Part of the Collections Framework The Set interface A Set is unordered and has no duplicates Operations are exactly those for Collection int size( ); boolean isempty( ); boolean contains(object

More information

CSE 143X. Accelerated Computer Programming I/II

CSE 143X. Accelerated Computer Programming I/II Adam Blank Lecture 17 Autumn 2015 CSE 143X Accelerated Computer Programming I/II CSE 143X: Accelerated Computer Programming I/II Sets and Maps Outline 1 Languages and Grammars 2 Sets 3 Foreach Loops 4

More information

Announcements. Container structures so far. IntSet ADT interface. Sets. Today s topic: Hashing (Ch. 10) Next topic: Graphs. Break around 11:45am

Announcements. Container structures so far. IntSet ADT interface. Sets. Today s topic: Hashing (Ch. 10) Next topic: Graphs. Break around 11:45am Announcements Today s topic: Hashing (Ch. 10) Next topic: Graphs Break around 11:45am Container structures so far Array lists O(1) access O(n) insertion/deletion (average case), better at end Linked lists

More information

U N I V E R S I T Y O F W E L L I N G T O N EXAMINATIONS 2018 TRIMESTER 2 COMP 103 PRACTICE EXAM

U N I V E R S I T Y O F W E L L I N G T O N EXAMINATIONS 2018 TRIMESTER 2 COMP 103 PRACTICE EXAM T E W H A R E W Ā N A N G A O T E Ū P O K O O T E I K A A M Ā U I VUW VICTORIA U N I V E R S I T Y O F W E L L I N G T O N EXAMINATIONS 2018 TRIMESTER 2 COMP 103 PRACTICE EXAM Time Allowed: TWO HOURS ********

More information

EXAMINATIONS 2016 TRIMESTER 2

EXAMINATIONS 2016 TRIMESTER 2 T E W H A R E W Ā N A N G A O T E Ū P O K O O T E I K A A M Ā U I VUW VICTORIA U N I V E R S I T Y O F W E L L I N G T O N EXAMINATIONS 2016 TRIMESTER 2 COMP103 INTRODUCTION TO DATA STRUCTURES AND ALGORITHMS

More information

1.00/ Introduction to Computers and Engineering Problem Solving. Final Exam / December 21, 2005

1.00/ Introduction to Computers and Engineering Problem Solving. Final Exam / December 21, 2005 1.00/1.001 Introduction to Computers and Engineering Problem Solving Final Exam / December 21, 2005 Name: Email Address: TA: Section: You have 180 minutes to complete this exam. For coding questions, you

More information

CS2110: Software Development Methods. Maps and Sets in Java

CS2110: Software Development Methods. Maps and Sets in Java CS2110: Software Development Methods Maps and Sets in Java These slides are to help with the lab, Finding Your Way with Maps This lab uses Maps, and Sets too (but just a little). Readings from textbook:

More information

Java Map and Set collections

Java Map and Set collections Java Map and Set collections Java Set container idea interface Java Map container idea interface iterator concordance example Java maps and sets [Bono] 1 Announcements This week s lab based on an example

More information

Hash table basics. ate à. à à mod à 83

Hash table basics. ate à. à à mod à 83 Hash table basics After today, you should be able to explain how hash tables perform insertion in amortized O(1) time given enough space ate à hashcode() à 48594983à mod à 83 82 83 ate 84 } EditorTrees

More information

Hash table basics mod 83 ate. ate. hashcode()

Hash table basics mod 83 ate. ate. hashcode() Hash table basics ate hashcode() 82 83 84 48594983 mod 83 ate Reminder from syllabus: EditorTrees worth 10% of term grade See schedule page Exam 2 moved to Friday after break. Short pop quiz over AVL rotations

More information

Announcements. Today s topic: Hashing (Ch. 10) Next topic: Graphs. Break around 11:45am

Announcements. Today s topic: Hashing (Ch. 10) Next topic: Graphs. Break around 11:45am Announcements Today s topic: Hashing (Ch. 10) Next topic: Graphs Break around 11:45am 1 Container structures so far Array lists O(1) access O(n) insertion/deletion (average case), better at end Linked

More information

Collections, Maps and Generics

Collections, Maps and Generics Collections API Collections, Maps and Generics You've already used ArrayList for exercises from the previous semester, but ArrayList is just one part of much larger Collections API that Java provides.

More information

STANDARD ADTS Lecture 17 CS2110 Spring 2013

STANDARD ADTS Lecture 17 CS2110 Spring 2013 STANDARD ADTS Lecture 17 CS2110 Spring 2013 Abstract Data Types (ADTs) 2 A method for achieving abstraction for data structures and algorithms ADT = model + operations In Java, an interface corresponds

More information

Administrivia. CSSS Movie Night: Zombieland & Iron Man Date: Thurs., Mar 11 Time: 6 10 pm Location: DMP 310 Free pop & popcorn for every attendee!

Administrivia. CSSS Movie Night: Zombieland & Iron Man Date: Thurs., Mar 11 Time: 6 10 pm Location: DMP 310 Free pop & popcorn for every attendee! Department of Computer Science Undergraduate Events Events this week Drop-In Resume and Cover Letter Editing (20 min. appointments) Date: Thurs., March 11 Time: 11:30 am 2:30 pm Location: Rm 255, ICICS/CS

More information

Collections Framework: Part 2

Collections Framework: Part 2 Collections Framework: Part 2 Computer Science and Engineering College of Engineering The Ohio State University Lecture 18 Collection Implementations Java SDK provides several implementations of Collection

More information

USAL1J: Java Collections. S. Rosmorduc

USAL1J: Java Collections. S. Rosmorduc USAL1J: Java Collections S. Rosmorduc 1 A simple collection: ArrayList A list, implemented as an Array ArrayList l= new ArrayList() l.add(x): adds x at the end of the list l.add(i,x):

More information

1.00/ Introduction to Computers and Engineering Problem Solving. Final Exam / December 21, 2005

1.00/ Introduction to Computers and Engineering Problem Solving. Final Exam / December 21, 2005 1.00/1.001 Introduction to Computers and Engineering Problem Solving Final Exam / December 21, 2005 Name: Email Address: TA: Section: a You have 180 minutes to complete this exam. For coding questions,

More information

University of Maryland College Park Dept of Computer Science

University of Maryland College Park Dept of Computer Science University of Maryland College Park Dept of Computer Science CMSC132H Fall 2009 Midterm First Name (PRINT): Last Name (PRINT): University ID: I pledge on my honor that I have not given or received any

More information

Data Structures - CSCI 102. CS102 Hash Tables. Prof. Tejada. Copyright Sheila Tejada

Data Structures - CSCI 102. CS102 Hash Tables. Prof. Tejada. Copyright Sheila Tejada CS102 Hash Tables Prof. Tejada 1 Vectors, Linked Lists, Stack, Queues, Deques Can t provide fast insertion/removal and fast lookup at the same time The Limitations of Data Structure Binary Search Trees,

More information

CSC 321: Data Structures. Fall 2016

CSC 321: Data Structures. Fall 2016 CSC 321: Data Structures Fall 2016 Balanced and other trees balanced BSTs: AVL trees, red-black trees TreeSet & TreeMap implementations heaps priority queue implementation heap sort 1 Balancing trees recall:

More information

CSC 321: Data Structures. Fall 2017

CSC 321: Data Structures. Fall 2017 CSC 321: Data Structures Fall 2017 Balanced and other trees balanced BSTs: AVL trees, red-black trees TreeSet & TreeMap implementations heaps priority queue implementation heap sort 1 Balancing trees recall:

More information

ALICE: An introduction to progamming

ALICE: An introduction to progamming ALICE: An introduction to progamming What is Computer Science? Computer Science Do you know the difference between ICT and Computer Science? Any suggestions as to what jobs you could do if you were a Computer

More information

Hash table basics mod 83 ate. ate

Hash table basics mod 83 ate. ate Hash table basics After today, you should be able to explain how hash tables perform insertion in amortized O(1) time given enough space ate hashcode() 82 83 84 48594983 mod 83 ate 1. Section 2: 15+ min

More information

Computational Applications in Nuclear Astrophysics using Java Java course Lecture 6

Computational Applications in Nuclear Astrophysics using Java Java course Lecture 6 Computational Applications in Nuclear Astrophysics using Java Java course Lecture 6 Prepared for course 160410/411 Michael C. Kunkel m.kunkel@fz-juelich.de Materials taken from; docs.oracle.com Teach Yourself

More information

Topic #9: Collections. Readings and References. Collections. Collection Interface. Java Collections CSE142 A-1

Topic #9: Collections. Readings and References. Collections. Collection Interface. Java Collections CSE142 A-1 Topic #9: Collections CSE 413, Autumn 2004 Programming Languages http://www.cs.washington.edu/education/courses/413/04au/ If S is a subtype of T, what is S permitted to do with the methods of T? Typing

More information

9/16/2010 CS Ananda Gunawardena

9/16/2010 CS Ananda Gunawardena CS 15-121 Ananda Gunawardena A collection (sometimes called a container) is simply an object that groups multiple elements into a single unit. Collections are used to store, retrieve and manipulate data,

More information

CS2110: Software Development Methods. Maps and Sets in Java

CS2110: Software Development Methods. Maps and Sets in Java CS2110: Software Development Methods Maps and Sets in Java These slides are to help with the lab, Finding Your Way with Maps Today s lab uses Maps (and Sets but just a little). Readings from textbook:

More information

Introducing Hashing. Chapter 21. Copyright 2012 by Pearson Education, Inc. All rights reserved

Introducing Hashing. Chapter 21. Copyright 2012 by Pearson Education, Inc. All rights reserved Introducing Hashing Chapter 21 Contents What Is Hashing? Hash Functions Computing Hash Codes Compressing a Hash Code into an Index for the Hash Table A demo of hashing (after) ARRAY insert hash index =

More information

CS Ananda Gunawardena

CS Ananda Gunawardena CS 15-121 Ananda Gunawardena A collection (sometimes called a container) is simply an object that groups multiple elements into a single unit. Collections are used to store, retrieve and manipulate data,

More information

Collections class Comparable and Comparator. Slides by Mark Hancock (adapted from notes by Craig Schock)

Collections class Comparable and Comparator. Slides by Mark Hancock (adapted from notes by Craig Schock) Lecture 15 Summary Collections Framework Iterable, Collections List, Set Map Collections class Comparable and Comparator 1 By the end of this lecture, you will be able to use different types of Collections

More information

Lecture 15 Summary. Collections Framework. Collections class Comparable and Comparator. Iterable, Collections List, Set Map

Lecture 15 Summary. Collections Framework. Collections class Comparable and Comparator. Iterable, Collections List, Set Map Lecture 15 Summary Collections Framework Iterable, Collections List, Set Map Collections class Comparable and Comparator 1 By the end of this lecture, you will be able to use different types of Collections

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

EXAMINATIONS 2015 COMP103 INTRODUCTION TO DATA STRUCTURES AND ALGORITHMS

EXAMINATIONS 2015 COMP103 INTRODUCTION TO DATA STRUCTURES AND ALGORITHMS T E W H A R E W Ā N A N G A O T E Student ID:....................... Ū P O K O O T E I K A A M Ā U I VUW VICTORIA U N I V E R S I T Y O F W E L L I N G T O N EXAMINATIONS 2015 TRIMESTER 2 COMP103 INTRODUCTION

More information

Recap. List Types. List Functionality. ListIterator. Adapter Design Pattern. Department of Computer Science 1

Recap. List Types. List Functionality. ListIterator. Adapter Design Pattern. Department of Computer Science 1 COMP209 Object Oriented Programming Container Classes 3 Mark Hall List Functionality Types List Iterator Adapter design pattern Adapting a LinkedList to a Stack/Queue Map Functionality Hashing Performance

More information

CONTAİNERS COLLECTİONS

CONTAİNERS COLLECTİONS CONTAİNERS Some programs create too many objects and deal with them. In such a program, it is not feasible to declare a separate variable to hold reference to each of these objects. The proper way of keeping

More information

Preview. A hash function is a function that:

Preview. A hash function is a function that: Hashing Preview A hash function is a function that: When applied to an Object, returns a number When applied to equal Objects, returns the same number for each When applied to unequal Objects, is very

More information

CS61B Lecture #24: Hashing. Last modified: Wed Oct 19 14:35: CS61B: Lecture #24 1

CS61B Lecture #24: Hashing. Last modified: Wed Oct 19 14:35: CS61B: Lecture #24 1 CS61B Lecture #24: Hashing Last modified: Wed Oct 19 14:35:49 2016 CS61B: Lecture #24 1 Back to Simple Search Linear search is OK for small data sets, bad for large. So linear search would be OK if we

More information

(f) Given what we know about linked lists and arrays, when would we choose to use one data structure over the other?

(f) Given what we know about linked lists and arrays, when would we choose to use one data structure over the other? CSM B Hashing & Heaps Spring 0 Week 0: March 0, 0 Motivation. (a) In the worst case, how long does it take to index into a linked list? Θ(N) (b) In the worst case, how long does it take to index into an

More information

Collections Questions

Collections Questions Collections Questions https://www.journaldev.com/1330/java-collections-interview-questions-and-answers https://www.baeldung.com/java-collections-interview-questions https://www.javatpoint.com/java-collections-interview-questions

More information

SOLUTIONS. COMP103 Introduction to Data Structures and Algorithms

SOLUTIONS. COMP103 Introduction to Data Structures and Algorithms T E W H A R E W Ā N A N G A O T E Ū P O K O O T E I K A A M Ā U I VUW V I C T O R I A UNIVERSITY OF WELLINGTON Student ID:....................... EXAMINATIONS 2011 MID YEAR COMP103 Introduction to Data

More information

1.00 Lecture 32. Hashing. Reading for next time: Big Java Motivation

1.00 Lecture 32. Hashing. Reading for next time: Big Java Motivation 1.00 Lecture 32 Hashing Reading for next time: Big Java 18.1-18.3 Motivation Can we search in better than O( lg n ) time, which is what a binary search tree provides? For example, the operation of a computer

More information

Java Collections. Readings and References. Collections Framework. Java 2 Collections. References. CSE 403, Winter 2003 Software Engineering

Java Collections. Readings and References. Collections Framework. Java 2 Collections. References. CSE 403, Winter 2003 Software Engineering Readings and References Java Collections References» "Collections", Java tutorial» http://java.sun.com/docs/books/tutorial/collections/index.html CSE 403, Winter 2003 Software Engineering http://www.cs.washington.edu/education/courses/403/03wi/

More information

Topic 22 Hash Tables

Topic 22 Hash Tables Topic 22 Hash Tables "hash collision n. [from the techspeak] (var. `hash clash') When used of people, signifies a confusion in associative memory or imagination, especially a persistent one (see thinko).

More information

SUMMARY INTRODUCTION COLLECTIONS FRAMEWORK. Introduction Collections and iterators Linked list Array list Hash set Tree set Maps Collections framework

SUMMARY INTRODUCTION COLLECTIONS FRAMEWORK. Introduction Collections and iterators Linked list Array list Hash set Tree set Maps Collections framework SUMMARY COLLECTIONS FRAMEWORK PROGRAMMAZIONE CONCORRENTE E DISTR. Università degli Studi di Padova Dipartimento di Matematica Corso di Laurea in Informatica, A.A. 2015 2016 Introduction Collections and

More information

Practical Session 3 Java Collections

Practical Session 3 Java Collections Practical Session 3 Java Collections 1 Outline Working with a Collection The Collection interface The Collection hierarchy Case Study: Undoable Stack Maps The Collections class Wrapper classes 2 Collection

More information

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

EXAMINATIONS 2012 Trimester 1, MID-TERM TEST. COMP103 Introduction to Data Structures and Algorithms SOLUTIONS T E W H A R E W Ā N A N G A O T E Ū P O K O O T E I K A A M Ā U I VUW V I C T O R I A UNIVERSITY OF WELLINGTON Student ID:....................... EXAMINATIONS 2012 Trimester 1, MID-TERM TEST COMP103 Introduction

More information

Lecture 15 Summary 3/11/2009. By the end of this lecture, you will be able to use different types of Collections and Maps in your Java code.

Lecture 15 Summary 3/11/2009. By the end of this lecture, you will be able to use different types of Collections and Maps in your Java code. Lecture 15 Summary Collections Framework Iterable, Collections, Set Map Collections class Comparable and Comparator By the end of this lecture, you will be able to use different types of Collections and

More information

CS61BL: Data Structures & Programming Methodology Summer 2014

CS61BL: Data Structures & Programming Methodology Summer 2014 CS61BL: Data Structures & Programming Methodology Summer 2014 Instructor: Edwin Liao Midterm 2 July 30, 2014 Name: Student ID Number: Section Time: TA: Course Login: cs61bl-?? Person on Left: Possibly

More information

Hashing. Reading: L&C 17.1, 17.3 Eck Programming Course CL I

Hashing. Reading: L&C 17.1, 17.3 Eck Programming Course CL I Hashing Reading: L&C 17.1, 17.3 Eck 10.3 Defne hashing Objectives Discuss the problem of collisions in hash tables Examine Java's HashMap implementation of hashing Look at HashMap example Save serializable

More information

COMP 103 : Test. 2019, Jan 9 ** WITH SOLUTIONS **

COMP 103 : Test. 2019, Jan 9 ** WITH SOLUTIONS ** Family Name:.............................. Other Names:...................................... Signature.................................. COMP 103 : Test 2019, Jan 9 ** WITH SOLUTIONS ** Instructions Time

More information

EXAMINATIONS 2010 END YEAR. COMP103 Introduction to Data Structures and Algorithms SOLUTIONS

EXAMINATIONS 2010 END YEAR. COMP103 Introduction to Data Structures and Algorithms SOLUTIONS T E W H A R E W Ā N A N G A O T E Ū P O K O O T E I K A A M Ā U I VUW V I C T O R I A UNIVERSITY OF WELLINGTON Student ID:....................... EXAMINATIONS 2010 END YEAR COMP103 Introduction to Data

More information

Collections. Powered by Pentalog. by Vlad Costel Ungureanu for Learn Stuff

Collections. Powered by Pentalog. by Vlad Costel Ungureanu for Learn Stuff Collections by Vlad Costel Ungureanu for Learn Stuff Collections 2 Collections Operations Add objects to the collection Remove objects from the collection Find out if an object (or group of objects) is

More information

Abstract Data Types (ADTs) Queues & Priority Queues. Sets. Dictionaries. Stacks 6/15/2011

Abstract Data Types (ADTs) Queues & Priority Queues. Sets. Dictionaries. Stacks 6/15/2011 CS/ENGRD 110 Object-Oriented Programming and Data Structures Spring 011 Thorsten Joachims Lecture 16: Standard ADTs Abstract Data Types (ADTs) A method for achieving abstraction for data structures and

More information

CSE 2123: Collections: Priority Queues. Jeremy Morris

CSE 2123: Collections: Priority Queues. Jeremy Morris CSE 2123: Collections: Priority Queues Jeremy Morris 1 Collections Priority Queue Recall: A queue is a specific type of collection Keeps elements in a particular order We ve seen two examples FIFO queues

More information

CS211 Computers and Programming Matthew Harris and Alexa Sharp July 9, Boggle

CS211 Computers and Programming Matthew Harris and Alexa Sharp July 9, Boggle Boggle If you are not familiar with the game Boggle, the game is played with 16 dice that have letters on all faces. The dice are randomly deposited into a four-by-four grid so that the players see the

More information

COMP 103 : Test. 2018, Sept 12//(Corrected)

COMP 103 : Test. 2018, Sept 12//(Corrected) Family Name:.............................. Other Names:............................. Student ID:................................ Signature.................................. COMP 103 : Test 2018, Sept 12//(Corrected)

More information

Class 32: The Java Collections Framework

Class 32: The Java Collections Framework Introduction to Computation and Problem Solving Class 32: The Java Collections Framework Prof. Steven R. Lerman and Dr. V. Judson Harward Goals To introduce you to the data structure classes that come

More information

Taking Stock. IE170: Algorithms in Systems Engineering: Lecture 7. (A subset of) the Collections Interface. The Java Collections Interfaces

Taking Stock. IE170: Algorithms in Systems Engineering: Lecture 7. (A subset of) the Collections Interface. The Java Collections Interfaces Taking Stock IE170: Algorithms in Systems Engineering: Lecture 7 Jeff Linderoth Department of Industrial and Systems Engineering Lehigh University January 29, 2007 Last Time Practice Some Sorting Algs

More information

ABSTRACT DATA TYPES: COLLECTIONS, LISTS, SETS, MAP, QUEUES. Thursday, June 30, 2011

ABSTRACT DATA TYPES: COLLECTIONS, LISTS, SETS, MAP, QUEUES. Thursday, June 30, 2011 1 ABSTRACT DATA TYPES: COLLECTIONS, LISTS, SETS, MAP, QUEUES Lecture 4 CS 2110 Summer 2011 Lists are Iterable 4 for public static void printlist(list strings) { for (int idx = 0; idx < strings.size();

More information

EXAMINATIONS 2011 Trimester 2, MID-TERM TEST. COMP103 Introduction to Data Structures and Algorithms SOLUTIONS

EXAMINATIONS 2011 Trimester 2, MID-TERM TEST. COMP103 Introduction to Data Structures and Algorithms SOLUTIONS T E W H A R E W Ā N A N G A O T E Ū P O K O O T E I K A A M Ā U I VUW V I C T O R I A UNIVERSITY OF WELLINGTON Student ID:....................... EXAMINATIONS 2011 Trimester 2, MID-TERM TEST COMP103 Introduction

More information

PIC 20A Collections and Data Structures

PIC 20A Collections and Data Structures PIC 20A Collections and Data Structures Ernest Ryu UCLA Mathematics Last edited: March 14, 2018 Introductory example How do you write a phone book program? Some programmers may yell hash table! and write

More information

CS 104 (Spring 2014) Final Exam 05/09/2014

CS 104 (Spring 2014) Final Exam 05/09/2014 CS 104 (Spring 2014) Final Exam 05/09/2014 G o o d L u c k Your Name, USC username, and Student ID: This exam has 8 pages and 8 questions. If yours does not, please contact us immediately. Please read

More information

COURSE 4 PROGRAMMING III OOP. JAVA LANGUAGE

COURSE 4 PROGRAMMING III OOP. JAVA LANGUAGE COURSE 4 PROGRAMMING III OOP. JAVA LANGUAGE PREVIOUS COURSE CONTENT Inheritance Abstract classes Interfaces instanceof operator Nested classes Enumerations COUSE CONTENT Collections List Map Set Aggregate

More information

Review. CSE 143 Java. A Magical Strategy. Hash Function Example. Want to implement Sets of objects Want fast contains( ), add( )

Review. CSE 143 Java. A Magical Strategy. Hash Function Example. Want to implement Sets of objects Want fast contains( ), add( ) Review CSE 143 Java Hashing Want to implement Sets of objects Want fast contains( ), add( ) One strategy: a sorted list OK contains( ): use binary search Slow add( ): have to maintain list in sorted order

More information

09/02/2013 TYPE CHECKING AND CASTING. Lecture 5 CS2110 Spring 2013

09/02/2013 TYPE CHECKING AND CASTING. Lecture 5 CS2110 Spring 2013 1 TYPE CHECKING AND CASTING Lecture 5 CS2110 Spring 2013 1 Type Checking 2 Java compiler checks to see if your code is legal Today: Explore how this works What is Java doing? Why What will Java do if it

More information

CMSC 202H. Containers and Iterators

CMSC 202H. Containers and Iterators CMSC 202H Containers and Iterators Container Definition A container is a data structure whose purpose is to hold objects. Most languages support several ways to hold objects Arrays are compiler-supported

More information

CS61BL: Data Structures & Programming Methodology Summer 2014

CS61BL: Data Structures & Programming Methodology Summer 2014 CS61BL: Data Structures & Programming Methodology Summer 2014 Instructor: Edwin Liao Final Exam August 13, 2014 Name: Student ID Number: Section Time: TA: Course Login: cs61bl-?? Person on Left: Possibly

More information

EXAMINATIONS 2017 TRIMESTER 2

EXAMINATIONS 2017 TRIMESTER 2 T E W H A R E W Ā N A N G A O T E Ū P O K O O T E I K A A M Ā U I VUW VICTORIA U N I V E R S I T Y O F W E L L I N G T O N EXAMINATIONS 2017 TRIMESTER 2 COMP103 INTRODUCTION TO DATA STRUCTURES AND ALGORITHMS

More information

CONTAINS SOLUTIONS!!!

CONTAINS SOLUTIONS!!! T E W H A R E W Ā N A N G A O T E Ū P O K O O T E I K A A M Ā U I VUW V I C T O R I A UNIVERSITY OF WELLINGTON Student ID:....................... EXAMINATIONS 2007 END YEAR COMP103 Introduction to Data

More information

COMP 103 : Test. 2018, Sept 12//(Corrected) ** WITH SOLUTIONS

COMP 103 : Test. 2018, Sept 12//(Corrected) ** WITH SOLUTIONS Family Name:.............................. Other Names:............................. Student ID:................................ Signature.................................. COMP 103 : Test 2018, Sept 12//(Corrected)

More information

COMP 250. Lecture 27. hashing. Nov. 10, 2017

COMP 250. Lecture 27. hashing. Nov. 10, 2017 COMP 250 Lecture 27 hashing Nov. 10, 2017 1 RECALL Map keys (type K) values (type V) Each (key, value) pairs is an entry. For each key, there is at most one value. 2 RECALL Special Case keys are unique

More information

CS 231 Data Structures and Algorithms, Fall 2016

CS 231 Data Structures and Algorithms, Fall 2016 CS 231 Data Structures and Algorithms, Fall 2016 Dr. Bruce A. Maxwell Department of Computer Science Colby College Course Description Focuses on the common structures used to store data and the standard

More information

Homework #10 due Monday, April 16, 10:00 PM

Homework #10 due Monday, April 16, 10:00 PM Homework #10 due Monday, April 16, 10:00 PM In this assignment, you will re-implement Dictionary as Map container class using the same data structure. A Map has an associated entry set and that set will

More information

HASH TABLES. Hash Tables Page 1

HASH TABLES. Hash Tables Page 1 HASH TABLES TABLE OF CONTENTS 1. Introduction to Hashing 2. Java Implementation of Linear Probing 3. Maurer s Quadratic Probing 4. Double Hashing 5. Separate Chaining 6. Hash Functions 7. Alphanumeric

More information

17. Java Collections. Organizing Data. Generic List in Java: java.util.list. Type Parameters ( Parameteric Polymorphism ) Data Structures that we know

17. Java Collections. Organizing Data. Generic List in Java: java.util.list. Type Parameters ( Parameteric Polymorphism ) Data Structures that we know Organizing Data Data Structures that we know 17 Java Collections Generic Types, Iterators, Java Collections, Iterators Today: Arrays Fixed-size sequences Strings Sequences of characters Linked Lists (up

More information

Model Solutions. COMP 103: Test April, 2013

Model Solutions. COMP 103: Test April, 2013 Family Name:............................. Other Names:............................. ID Number:............................... Signature.................................. Instructions Time allowed: 40 minutes

More information

ext Total Score /20 /20 /15 /20 /25 /5 Grader

ext Total Score /20 /20 /15 /20 /25 /5 Grader NAME: NETID: CS2110 Fall 2013 Prelim 2 November 21, 2013 Write your name and Cornell netid. There are 5 questions plus one extra-credit question on 10 numbered pages. Check now that you have all the pages.

More information

Beside List, there are two other common collections. Set: like a mathematical set, unordered, no repetitions.

Beside List, there are two other common collections. Set: like a mathematical set, unordered, no repetitions. Collections Beside List, there are two other common collections. Set: like a mathematical set, unordered, no repetitions. Map: Indexes collections by arbitrary keys. HashSet import java.util.hashset;

More information

Lecture 7: Efficient Collections via Hashing

Lecture 7: Efficient Collections via Hashing Lecture 7: Efficient Collections via Hashing These slides include material originally prepared by Dr. Ron Cytron, Dr. Jeremy Buhler, and Dr. Steve Cole. 1 Announcements Lab 6 due Friday Lab 7 out tomorrow

More information

HEAPS & PRIORITY QUEUES

HEAPS & PRIORITY QUEUES HEAPS & PRIORITY QUEUES Lecture 13 CS2110 Spring 2018 Announcements 2 A4 goes out today! Prelim 1: regrades are open a few rubrics have changed No Recitations next week (Fall Break Mon & Tue) We ll spend

More information

Model Solutions. COMP 103: Test May, 2013

Model Solutions. COMP 103: Test May, 2013 Family Name:............................. Other Names:............................. ID Number:............................... Signature.................................. Instructions Time allowed: 45 minutes

More information

EXAMINATIONS 2012 MID YEAR. COMP103 Introduction to Data Structures and Algorithms SOLUTIONS

EXAMINATIONS 2012 MID YEAR. COMP103 Introduction to Data Structures and Algorithms SOLUTIONS T E W H A R E W Ā N A N G A O T E Ū P O K O O T E I K A A M Ā U I VUW V I C T O R I A UNIVERSITY OF WELLINGTON Student ID:....................... EXAMINATIONS 2012 MID YEAR COMP103 Introduction to Data

More information

CSCI 1100L: Topics in Computing Lab Lab 11: Programming with Scratch

CSCI 1100L: Topics in Computing Lab Lab 11: Programming with Scratch CSCI 1100L: Topics in Computing Lab Lab 11: Programming with Scratch Purpose: We will take a look at programming this week using a language called Scratch. Scratch is a programming language that was developed

More information

Dynamic Dictionaries. Operations: create insert find remove max/ min write out in sorted order. Only defined for object classes that are Comparable

Dynamic Dictionaries. Operations: create insert find remove max/ min write out in sorted order. Only defined for object classes that are Comparable Hashing Dynamic Dictionaries Operations: create insert find remove max/ min write out in sorted order Only defined for object classes that are Comparable Hash tables Operations: create insert find remove

More information

Object-Oriented Programming

Object-Oriented Programming Object-Oriented Programming Java Syntax Program Structure Variables and basic data types. Industry standard naming conventions. Java syntax and coding conventions If Then Else Case statements Looping (for,

More information

Java Collections Framework. 24 April 2013 OSU CSE 1

Java Collections Framework. 24 April 2013 OSU CSE 1 Java Collections Framework 24 April 2013 OSU CSE 1 Overview The Java Collections Framework (JCF) is a group of interfaces and classes similar to the OSU CSE components The similarities will become clearly

More information

DM550 Introduction to Programming part 2. Jan Baumbach.

DM550 Introduction to Programming part 2. Jan Baumbach. DM550 Introduction to Programming part 2 Jan Baumbach jan.baumbach@imada.sdu.dk http://www.baumbachlab.net MULTIVARIATE TREES 2 Multivariate Trees general class of trees nodes can have any number of children

More information

CPSC 211, Sections : Data Structures and Implementations, Honors Final Exam May 4, 2001

CPSC 211, Sections : Data Structures and Implementations, Honors Final Exam May 4, 2001 CPSC 211, Sections 201 203: Data Structures and Implementations, Honors Final Exam May 4, 2001 Name: Section: Instructions: 1. This is a closed book exam. Do not use any notes or books. Do not confer with

More information

Java Collections. Readings and References. Collections Framework. Java 2 Collections. CSE 403, Spring 2004 Software Engineering

Java Collections. Readings and References. Collections Framework. Java 2 Collections. CSE 403, Spring 2004 Software Engineering Readings and References Java Collections "Collections", Java tutorial http://java.sun.com/docs/books/tutorial/collections/index.html CSE 403, Spring 2004 Software Engineering http://www.cs.washington.edu/education/courses/403/04sp/

More information

CS 314 Midterm 2 Fall 2012

CS 314 Midterm 2 Fall 2012 Points off 1 2 3 4 5 Total off Net Score CS 314 Midterm 2 Fall 2012 Your Name_ Your UTEID Circle yours TA s name: John Zihao Instructions: 1. There are 5 questions on this test. 2. You have 2 hours to

More information