1. What is a Map (or Function)? Maps. CITS2200 Data Structures and Algorithms. Some definitions... Topic 16

Size: px
Start display at page:

Download "1. What is a Map (or Function)? Maps. CITS2200 Data Structures and Algorithms. Some definitions... Topic 16"

Transcription

1 1. What is a Map (or Function)? CITS2200 Data Structures an Algorithms Topic 16 Maps Definitions what is a map (or function)? Specification List-base representation (singly linke) Sorte block representation Some efinitions... relation setofn-tuples eg. { 1,i,a, 2,ii,b, 3,iii,c, 4,iv,,... binary relation setofpairs(2-tuples) eg. { lassie, og, babushka, cat, benji, og, babushka, human,... omain setofvalueswhichcanbetakenonbythefirstitemofabinaryrelation eg. {lassie, babushka, benji, felix, tweety coomain setofvalueswhichcanbetakenonbytheseconitemofabinary relation eg. {og, cat, human, bir Reaing: Weiss, Section 6.8 c Tim French CITS2200 Maps Slie 1 c Tim French CITS2200 Maps Slie 2 Example tweety lassie babushka felix benji omain og is calle the image of lassie uner the relation og cat human bir coomain map (or function) binaryrelationinwhicheachelementintheomainismappe to at most one element in the coomain (many-to-one) eg. Shorthan notation: Affiliation = { Turing, Manchester Von Neumann, Princeton Knuth, Stanfor Minsky, MIT Dijkstra, Texas McCarthy, Stanfor eg. affiliation(knuth) = Stanfor partial map noteveryelementoftheomainhasanimageunerthemap(ie, the image is unefine for some elements) c Tim French CITS2200 Maps Slie 3 c Tim French CITS2200 Maps Slie 4

2 2. Asie: Why Stuy Maps? 3. Map Specification AJavamethoisafunctionormap whyimplementourownmapasan ADT? Create, moify, an elete maps uring use. eg. a map of affiliations may change over time Turing starte in Cambrige, but move to Manchester after the war. AJavaprogramcannotmoify itself(antherefore its methos) uring execution (some languages, eg Prolog, can!) Java methos just return a result we want more functionality (eg. ask is the map efine for a particular omain element? ) Constructor 1. Map(): createanewmapthatisunefineforallomainelements. Checkers 2. isempty(): return true if the map is empty (unefine for all omain elements), false otherwise. 3. isdefine(): returntrue if the image of is efine, false otherwise. Manipulators 4. assign(,c): assign c as the image of. 5. image(): return the image of if it is efine, otherwise throw an exception. 6. eassign(): iftheimageof is efine return the image an make it unefine, otherwise throw an exception. c Tim French CITS2200 Maps Slie 5 c Tim French CITS2200 Maps Slie 6 4. List-base Representation Implementation... Amapcanbeconsieretobealistofpairs.Proviingthislist is finite, itcanbe implemente using one of the techniques use to implement the list ADT. Better still, it can be built using the list ADT! (Proviing it can be one efficiently recall the example of overwrite, usinginsert an elete, inatexteitorbaseonthelistadt.) public class MapLinke { private ListLinke list; public MapLinke () { list = new ListLinke(); Question: Which List ADT shoul we use? Require arbitrarily many assignments. Do we nee previous? c Tim French CITS2200 Maps Slie 7 c Tim French CITS2200 Maps Slie 8

3 4.1 Pairs We sai a (finite) map coul be consiere a list of pairs nee to efine a Pair object... public class Pair { public Object item1; public Object item2; public Pair (Object i1, Object i2) { item1 = i1; item2 = i2; // the first item (or omain item) // the secon item (or coomain item) // etermine whether this pair is the same as the object passe // assumes appropriate equals methos for the components public boolean equals(object o) { if (o == null) return false; else if (!(o instanceof Pair)) return false; else return item1.equals( ((Pair)o).item1) && item2.equals( ((Pair)o).item2); // generate a string representation of the pair public String tostring() { return "< "+item1.tostring()+", "+item2.tostring()+" >"; c Tim French CITS2200 Maps Slie 9 c Tim French CITS2200 Maps Slie Example Implementation of image Notes: public Object image (Object ) throws ItemNotFoun { WinowLinke w = new WinowLinke(); list.beforefirst(w); list.next(w); while (!list.isafterlast(w) &&!((Pair)list.examine(w)).item1.equals() ) list.next(w); if (!list.isafterlast(w)) return ((Pair)list.examine(w)).item2; else throw new ItemNotFoun("no image for object passe"); 1.!list.isAfterLast(w) must precee list.examine(w) in the conition for the loop why?? 2. Note use of parentheses aroun casting so that the fiel reference (eg.item1) applies to the cast object (Pair rather than Object). 3. Assumes appropriate equals methos for each of the items in a pair. 4.3 Performance Map an isempty make trivial calls to constant-time list ADT commans. The other four operations all require a sequential search within the list in the size of the efine omain (O(n)) Performance using (singly linke) List ADT Operation Map 1 isempty 1 isdefine n assign n image n eassign n linear If the maximum number of pairs is preefine, an we can specify atotalorering on the omain, better efficiency is possible... c Tim French CITS2200 Maps Slie 11 c Tim French CITS2200 Maps Slie 12

4 5. Sorte-block Representation 5.1 Binary Search Some of the above operations take linear time because they nee to search for a omain element. The above program oes a linear search. Q: Are any more efficient searches available for arbitrary linke list? An algorithm for binary search... u m u u m l l =u l m l c Tim French CITS2200 Maps Slie 13 c Tim French CITS2200 Maps Slie 14 Assume block is efine as: private Pair[] block; Then binary search can be implemente as follows... Note: compareto is an instance metho of String returns 0 if its argument matches the String, a value < 0 if the String is lexicographically less than the argument, an a value > 0 otherwise. Exercise: Can bsearch be implemente using only the abstract operations of the list ADT? protecte int bsearch (Object, int l, int u) { if (l == u) { if (.tostring().compareto(block[l].item1.tostring()) ==0) return l; else return -1; else { int m = (l + u) / 2; if (.tostring().compareto(block[m].item1.tostring()) <=0) return bsearch(,l,m); else return bsearch(,m+1,u); c Tim French CITS2200 Maps Slie 15 c Tim French CITS2200 Maps Slie 16

5 5.2 Performance of Binary Search 6. Comparative Performance of Operations One way of looking at the problem, to get a feel for it, is to consier the biggest list of pairs we can fin a solution for with m calls to bsearch. Calls to bsearch Size of list m (2 m 2 +2 m )+1 =(2 m 1 1) + 1 =2 m 1 It can be shown (see Exercises) that T n is O(log n). isdefine an image simply require binary search, therefore they are O(log n) much better than singly linke list representation. However, since the block is sorte, both assign an eassign may nee to move blocks of items to maintain the orer. Thus they are In summary... max(o(log n),o(n)) = O(n). Operation Linke List Sorte Block Map 1 1 isempty 1 1 isdefine n log n assign n n image n log n eassign n n c Tim French CITS2200 Maps Slie 17 c Tim French CITS2200 Maps Slie 18 Sorte block may be best choice if: 1. map has fixe maximum size 2. omain is totally orere 3. map is fairly static mostly reaing (isdefine, image) ratherthanwriting (assign, eassign) Otherwise linke list representation is probably better. 7. Summary A map (or function) is a many-to-one binary relation. Implementation using linke list can be arbitrarily large reaing from an writing to the map takes linear time Sorte block implementation fixe maximum size requires orere omain reaing is logarithmic, writing is linear c Tim French CITS2200 Maps Slie 19 c Tim French CITS2200 Maps Slie 20

Maps and Binary Search

Maps and Binary Search CITS2200 Data Structures and Algorithms Topic 10 Maps and Binary Search Definitions what is a map (or function)? Specification List-based representation (singly linked) Sorted block representation binary

More information

1. Introduction. Lists. 2. List windows. Data Structures and Algorithms

1. Introduction. Lists. 2. List windows. Data Structures and Algorithms 1. Introduction Why lists? List windows Specification Block representation Singly linked representation Performance comparisons Reading: Wood, Secs. 3.1, 3.3, 3.4 Data Structures and Algorithms Topic 9

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

CS 106 Winter 2016 Craig S. Kaplan. Module 01 Processing Recap. Topics

CS 106 Winter 2016 Craig S. Kaplan. Module 01 Processing Recap. Topics CS 106 Winter 2016 Craig S. Kaplan Moule 01 Processing Recap Topics The basic parts of speech in a Processing program Scope Review of syntax for classes an objects Reaings Your CS 105 notes Learning Processing,

More information

Lists. CITS2200 Data Structures and Algorithms. Topic 9

Lists. CITS2200 Data Structures and Algorithms. Topic 9 CITS2200 Data Structures and Algorithms Topic 9 Lists Why lists? List windows Specification Block representation Singly linked representation Performance comparisons Reading: Lambert and Osborne, Sections

More information

Preamble. Singly linked lists. Collaboration policy and academic integrity. Getting help

Preamble. Singly linked lists. Collaboration policy and academic integrity. Getting help CS2110 Spring 2016 Assignment A. Linke Lists Due on the CMS by: See the CMS 1 Preamble Linke Lists This assignment begins our iscussions of structures. In this assignment, you will implement a structure

More information

Positions, Iterators, Tree Structures and Tree Traversals. Readings - Chapter 7.3, 7.4 and 8

Positions, Iterators, Tree Structures and Tree Traversals. Readings - Chapter 7.3, 7.4 and 8 Positions, Iterators, Tree Structures an Reaings - Chapter 7.3, 7.4 an 8 1 Positional Lists q q q q A position acts as a marker or token within the broaer positional list. A position p is unaffecte by

More information

Topic 7: Algebraic Data Types

Topic 7: Algebraic Data Types Topic 7: Algebraic Data Types 1 Recommended Exercises and Readings From Haskell: The craft of functional programming (3 rd Ed.) Exercises: 5.5, 5.7, 5.8, 5.10, 5.11, 5.12, 5.14 14.4, 14.5, 14.6 14.9, 14.11,

More information

Computer Organization

Computer Organization Computer Organization Douglas Comer Computer Science Department Purue University 250 N. University Street West Lafayette, IN 47907-2066 http://www.cs.purue.eu/people/comer Copyright 2006. All rights reserve.

More information

Politehnica University of Timisoara Mobile Computing, Sensors Network and Embedded Systems Laboratory. Testing Techniques

Politehnica University of Timisoara Mobile Computing, Sensors Network and Embedded Systems Laboratory. Testing Techniques Politehnica University of Timisoara Mobile Computing, Sensors Network an Embee Systems Laboratory ing Techniques What is testing? ing is the process of emonstrating that errors are not present. The purpose

More information

Amortized Analysis. 0.1 Amortized Case Analysis. CITS2200 Data Structures and Algorithms

Amortized Analysis. 0.1 Amortized Case Analysis. CITS2200 Data Structures and Algorithms 0.1 Amortized Case Analysis CITS2200 Data Structures and Algorithms Topic 8 Amortized Analysis Amortized Case Analysis for Data Structures An example of amortized analysis using Multipop stack The Simplist

More information

Kinematic Analysis of a Family of 3R Manipulators

Kinematic Analysis of a Family of 3R Manipulators Kinematic Analysis of a Family of R Manipulators Maher Baili, Philippe Wenger an Damien Chablat Institut e Recherche en Communications et Cybernétique e Nantes, UMR C.N.R.S. 6597 1, rue e la Noë, BP 92101,

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

CS/ENGRD 2110 SPRING Lecture 7: Interfaces and Abstract Classes

CS/ENGRD 2110 SPRING Lecture 7: Interfaces and Abstract Classes CS/ENGRD 2110 SPRING 2019 Lecture 7: Interfaces and Abstract Classes http://courses.cs.cornell.edu/cs2110 1 Announcements 2 A2 is due Thursday night (14 February) Go back to Lecture 6 & discuss method

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

Lists. ordered lists unordered lists indexed lists 9-3

Lists. ordered lists unordered lists indexed lists 9-3 The List ADT Objectives Examine list processing and various ordering techniques Define a list abstract data type Examine various list implementations Compare list implementations 9-2 Lists A list is a

More information

Week 6. Data structures

Week 6. Data structures 1 2 3 4 5 n Week 6 Data structures 6 7 n 8 General remarks We start considering Part III Data Structures from CLRS. As a first example we consider two special of buffers, namely stacks and queues. Reading

More information

Another interface: Comparable

Another interface: Comparable Another interface: Comparable Comparing things is certainly useful, e.g. for sorting Show me cats ordered by cuteness" Show shapes ordered by number of sides" An example interface: Comparable Since sorting

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

CS 151. Linked Lists, Recursively Implemented. Wednesday, October 3, 12

CS 151. Linked Lists, Recursively Implemented. Wednesday, October 3, 12 CS 151 Linked Lists, Recursively Implemented 1 2 Linked Lists, Revisited Recall that a linked list is a structure that represents a sequence of elements that are stored non-contiguously in memory. We can

More information

CS350 - Exam 4 (100 Points)

CS350 - Exam 4 (100 Points) Fall 0 Name CS0 - Exam (00 Points).(0 points) Re-Black Trees For the Re-Black tree below, inicate where insert() woul initially occur before rebalancing/recoloring. Sketch the tree at ALL intermeiate steps

More information

Data Structures in Java

Data Structures in Java Data Structures in Java Lecture 9: Binary Search Trees. 10/7/015 Daniel Bauer 1 Contents 1. Binary Search Trees. Implementing Maps with BSTs Map ADT A map is collection of (key, value) pairs. Keys are

More information

Coupling the User Interfaces of a Multiuser Program

Coupling the User Interfaces of a Multiuser Program Coupling the User Interfaces of a Multiuser Program PRASUN DEWAN University of North Carolina at Chapel Hill RAJIV CHOUDHARY Intel Corporation We have evelope a new moel for coupling the user-interfaces

More information

You Can Do That. Unit 16. Motivation. Computer Organization. Computer Organization Design of a Simple Processor. Now that you have some understanding

You Can Do That. Unit 16. Motivation. Computer Organization. Computer Organization Design of a Simple Processor. Now that you have some understanding .. ou Can Do That Unit Computer Organization Design of a imple Clou & Distribute Computing (CyberPhysical, bases, Mining,etc.) Applications (AI, Robotics, Graphics, Mobile) ystems & Networking (Embee ystems,

More information

A Classification of 3R Orthogonal Manipulators by the Topology of their Workspace

A Classification of 3R Orthogonal Manipulators by the Topology of their Workspace A Classification of R Orthogonal Manipulators by the Topology of their Workspace Maher aili, Philippe Wenger an Damien Chablat Institut e Recherche en Communications et Cybernétique e Nantes, UMR C.N.R.S.

More information

Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed.

Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed. Preface Here are my online notes for my Calculus I course that I teach here at Lamar University. Despite the fact that these are my class notes, they shoul be accessible to anyone wanting to learn Calculus

More information

MIT AITI Lecture 18 Collections - Part 1

MIT AITI Lecture 18 Collections - Part 1 MIT AITI 2004 - Lecture 18 Collections - Part 1 Collections API The package java.util is often called the "Collections API" Extremely useful classes that you must understand to be a competent Java programmer

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

CMSC131. Inheritance. Object. When we talked about Object, I mentioned that all Java classes are "built" on top of that.

CMSC131. Inheritance. Object. When we talked about Object, I mentioned that all Java classes are built on top of that. CMSC131 Inheritance Object When we talked about Object, I mentioned that all Java classes are "built" on top of that. This came up when talking about the Java standard equals operator: boolean equals(object

More information

Exercises of PIV. incomplete draft, version 0.0. October 2009

Exercises of PIV. incomplete draft, version 0.0. October 2009 Exercises of PIV incomplete raft, version 0.0 October 2009 1 Images Images are signals efine in 2D or 3D omains. They can be vector value (e.g., color images), real (monocromatic images), complex or binary

More information

Comparing Objects 3/14/16

Comparing Objects 3/14/16 Comparing Objects 3/14/16 Agenda HW Notes Practice Tests Returned Searching Data One of the most important and useful things that computers do is search through huge amounts of data. Search Engines Patterns

More information

Binary Search Trees. Chapter 21. Binary Search Trees

Binary Search Trees. Chapter 21. Binary Search Trees Chapter 21 Binary Search Trees Binary Search Trees A Binary Search Tree is a binary tree with an ordering property that allows O(log n) retrieval, insertion, and removal of individual elements. Defined

More information

Subclassing for ADTs Implementation

Subclassing for ADTs Implementation Object-Oriented Design Lecture 8 CS 3500 Fall 2009 (Pucella) Tuesday, Oct 6, 2009 Subclassing for ADTs Implementation An interesting use of subclassing is to implement some forms of ADTs more cleanly,

More information

CS3500: Object-Oriented Design Fall 2013

CS3500: Object-Oriented Design Fall 2013 CS3500: Object-Oriented Design Fall 2013 Class 3 9.13.2013 Plan for Today Web-CAT Announcements Review terminology from last class Finish Recipe implementation of StackInt as a class Abstraction Barrier

More information

Finite Automata Implementations Considering CPU Cache J. Holub

Finite Automata Implementations Considering CPU Cache J. Holub Finite Automata Implementations Consiering CPU Cache J. Holub The finite automata are mathematical moels for finite state systems. More general finite automaton is the noneterministic finite automaton

More information

4.2 Implicit Differentiation

4.2 Implicit Differentiation 6 Chapter 4 More Derivatives 4. Implicit Differentiation What ou will learn about... Implicitl Define Functions Lenses, Tangents, an Normal Lines Derivatives of Higher Orer Rational Powers of Differentiable

More information

Priority queues. Priority queues. Priority queue operations

Priority queues. Priority queues. Priority queue operations Priority queues March 8, 08 Priority queues The ADT priority queue stores arbitrary objects with priorities. An object with the highest priority gets served first. Objects with priorities are defined by

More information

Objects and Iterators

Objects and Iterators Objects and Iterators Can We Have Data Structures With Generic Types? What s in a Bag? All our implementations of collections so far allowed for one data type for the entire collection To accommodate a

More information

Arrays. Chapter Arrays What is an Array?

Arrays. Chapter Arrays What is an Array? Chapter 8 Arrays 81 Arrays 811 What is an Array? To motivate why we might be interested in using arrays, let us implement an app that creates a collection of doubles We will keep track of the number of

More information

Comparing Objects 3/28/16

Comparing Objects 3/28/16 Comparing Objects 3/28/16 Agenda HW Notes Practice Tests Returned Searching Data One of the most important and useful things that computers do is search through huge amounts of data. Search Engines Patterns

More information

Handout 9: Imperative Programs and State

Handout 9: Imperative Programs and State 06-02552 Princ. of Progr. Languages (and Extended ) The University of Birmingham Spring Semester 2016-17 School of Computer Science c Uday Reddy2016-17 Handout 9: Imperative Programs and State Imperative

More information

Csci 102: Sample Exam

Csci 102: Sample Exam Csci 102: Sample Exam Duration: 65 minutes Name: NetID: Student to your left: Student to your right: DO NOT OPEN THIS EXAM UNTIL INSTRUCTED Instructions: Write your full name and your NetID on the front

More information

Prelim 1 Solutions. CS 2110, March 10, 2015, 5:30 PM Total Question True False. Loop Invariants Max Score Grader

Prelim 1 Solutions. CS 2110, March 10, 2015, 5:30 PM Total Question True False. Loop Invariants Max Score Grader Prelim 1 Solutions CS 2110, March 10, 2015, 5:30 PM 1 2 3 4 5 Total Question True False Short Answer Recursion Object Oriented Loop Invariants Max 20 15 20 25 20 100 Score Grader The exam is closed book

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

Modifying ROC Curves to Incorporate Predicted Probabilities

Modifying ROC Curves to Incorporate Predicted Probabilities Moifying ROC Curves to Incorporate Preicte Probabilities Cèsar Ferri DSIC, Universitat Politècnica e València Peter Flach Department of Computer Science, University of Bristol José Hernánez-Orallo DSIC,

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

l Determine if a number is odd or even l Determine if a number/character is in a range - 1 to 10 (inclusive) - between a and z (inclusive)

l Determine if a number is odd or even l Determine if a number/character is in a range - 1 to 10 (inclusive) - between a and z (inclusive) Final Exam Exercises Chapters 1-7 + 11 Write C++ code to: l Determine if a number is odd or even CS 2308 Fall 2016 Jill Seaman l Determine if a number/character is in a range - 1 to 10 (inclusive) - between

More information

Principles of B-trees

Principles of B-trees CSE465, Fall 2009 February 25 1 Principles of B-trees Noes an binary search Anoe u has size size(u), keys k 1,..., k size(u) 1 chilren c 1,...,c size(u). Binary search property: for i = 1,..., size(u)

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

Priority Queues. 04/10/03 Lecture 22 1

Priority Queues. 04/10/03 Lecture 22 1 Priority Queues It is a variant of queues Each item has an associated priority value. When inserting an item in the queue, the priority value is also provided for it. The data structure provides a method

More information

void insert( Type const & ) void push_front( Type const & )

void insert( Type const & ) void push_front( Type const & ) 6.1 Binary Search Trees A binary search tree is a data structure that can be used for storing sorted data. We will begin by discussing an Abstract Sorted List or Sorted List ADT and then proceed to describe

More information

CE204 Data Structures and Algorithms Part 2

CE204 Data Structures and Algorithms Part 2 CE204 Data Structures and Algorithms Part 2 14/01/2018 CE204 Part 2 1 Abstract Data Types 1 An abstract data type is a type that may be specified completely without the use of any programming language.

More information

Data abstractions: ADTs Invariants, Abstraction function. Lecture 4: OOP, autumn 2003

Data abstractions: ADTs Invariants, Abstraction function. Lecture 4: OOP, autumn 2003 Data abstractions: ADTs Invariants, Abstraction function Lecture 4: OOP, autumn 2003 Limits of procedural abstractions Isolate implementation from specification Dependency on the types of parameters representation

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

Birkbeck (University of London) Software and Programming 1 In-class Test Mar 2018

Birkbeck (University of London) Software and Programming 1 In-class Test Mar 2018 Birkbeck (University of London) Software and Programming 1 In-class Test 2.1 22 Mar 2018 Student Name Student Number Answer ALL Questions 1. What output is produced when the following Java program fragment

More information

INFO1x05 Tutorial 6. Exercise 1: Heaps and Priority Queues

INFO1x05 Tutorial 6. Exercise 1: Heaps and Priority Queues INFO1x05 Tutorial 6 Heaps and Priority Queues Exercise 1: 1. How long would it take to remove the log n smallest elements from a heap that contains n entries, using the operation? 2. Suppose you label

More information

1 Shortest Path Problems

1 Shortest Path Problems CS268: Geometric Algorithms Hanout #7 Design an Analysis Original Hanout #18 Stanfor University Tuesay, 25 February 1992 Original Lecture #8: 4 February 1992 Topics: Shortest Path Problems Scribe: Jim

More information

6.823 Computer System Architecture. Problem Set #3 Spring 2002

6.823 Computer System Architecture. Problem Set #3 Spring 2002 6.823 Computer System Architecture Problem Set #3 Spring 2002 Stuents are strongly encourage to collaborate in groups of up to three people. A group shoul han in only one copy of the solution to the problem

More information

Binary Search Trees. BinaryTree<E> Class (cont.) Section /27/2017

Binary Search Trees. BinaryTree<E> Class (cont.) Section /27/2017 Binary Search Trees Section.4 BinaryTree Class (cont.) public class BinaryTree { // Data members/fields...just the root is needed - Node root; // Constructor(s) + BinaryTree() + BinaryTree(Node

More information

On Effectively Determining the Downlink-to-uplink Sub-frame Width Ratio for Mobile WiMAX Networks Using Spline Extrapolation

On Effectively Determining the Downlink-to-uplink Sub-frame Width Ratio for Mobile WiMAX Networks Using Spline Extrapolation On Effectively Determining the Downlink-to-uplink Sub-frame With Ratio for Mobile WiMAX Networks Using Spline Extrapolation Panagiotis Sarigianniis, Member, IEEE, Member Malamati Louta, Member, IEEE, Member

More information

Generalized Edge Coloring for Channel Assignment in Wireless Networks

Generalized Edge Coloring for Channel Assignment in Wireless Networks TR-IIS-05-021 Generalize Ege Coloring for Channel Assignment in Wireless Networks Chun-Chen Hsu, Pangfeng Liu, Da-Wei Wang, Jan-Jan Wu December 2005 Technical Report No. TR-IIS-05-021 http://www.iis.sinica.eu.tw/lib/techreport/tr2005/tr05.html

More information

Divide-and-Conquer Algorithms

Divide-and-Conquer Algorithms Supplment to A Practical Guie to Data Structures an Algorithms Using Java Divie-an-Conquer Algorithms Sally A Golman an Kenneth J Golman Hanout Divie-an-conquer algorithms use the following three phases:

More information

The Java Collections Framework and Lists in Java Parts 1 & 2

The Java Collections Framework and Lists in Java Parts 1 & 2 The Java Collections Framework and Lists in Java Parts 1 & 2 Chapter 9 Chapter 6 (6.1-6.2.2) CS 2334 University of Oklahoma Brian F. Veale Groups of Data Data are very important to Software Engineering

More information

protected BinaryNode root; } 02/17/04 Lecture 11 1

protected BinaryNode root; } 02/17/04 Lecture 11 1 Binary Search Trees // BinarySearchTree class // void insert( x ) --> Insert x // void remove( x ) --> Remove x // void removemin( ) --> Remove minimum item // Comparable find( x ) --> Return item that

More information

PRIORITY QUEUES AND HEAPS

PRIORITY QUEUES AND HEAPS PRIORITY QUEUES AND HEAPS Lecture 17 CS2110 Spring 201 Readings and Homework 2 Read Chapter 2 A Heap Implementation to learn about heaps Exercise: Salespeople often make matrices that show all the great

More information

Generic BST Interface

Generic BST Interface Generic BST Interface Here s a partial generic BST interface: public class BST

More information

Implementing a Queue with a Linked List

Implementing a Queue with a Linked List CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 192] Implementing a Queue with a Linked List State representation: æ Data items are kept in a linked list. æ Pointer head points to

More information

CSE 214 Computer Science II Heaps and Priority Queues

CSE 214 Computer Science II Heaps and Priority Queues CSE 214 Computer Science II Heaps and Priority Queues Spring 2018 Stony Brook University Instructor: Shebuti Rayana shebuti.rayana@stonybrook.edu http://www3.cs.stonybrook.edu/~cse214/sec02/ Introduction

More information

CS269I: Incentives in Computer Science Lecture #8: Incentives in BGP Routing

CS269I: Incentives in Computer Science Lecture #8: Incentives in BGP Routing CS269I: Incentives in Computer Science Lecture #8: Incentives in BGP Routing Tim Roughgaren October 19, 2016 1 Routing in the Internet Last lecture we talke about elay-base (or selfish ) routing, which

More information

Bags. Chapter 1. Copyright 2012 by Pearson Education, Inc. All rights reserved

Bags. Chapter 1. Copyright 2012 by Pearson Education, Inc. All rights reserved Bags Chapter 1 Copyright 2012 by Pearson Education, Inc. All rights reserved A little more about Lab 1 to take us into today's topics Carrano, Data Structures and Abstractions with Java, Second Edition,

More information

CE 221 Data Structures and Algorithms

CE 221 Data Structures and Algorithms CE 2 Data Structures and Algorithms Chapter 6: Priority Queues (Binary Heaps) Text: Read Weiss, 6.1 6.3 Izmir University of Economics 1 A kind of queue Priority Queue (Heap) Dequeue gets element with the

More information

Code Reuse: Inheritance

Code Reuse: Inheritance Object-Oriented Design Lecture 14 CSU 370 Fall 2008 (Pucella) Tuesday, Nov 4, 2008 Code Reuse: Inheritance Recall the Point ADT we talked about in Lecture 8: The Point ADT: public static Point make (int,

More information

Data Structures and Algorithms

Data Structures and Algorithms Data Structures and Algorithms First Semester 2017/2018 Linked Lists Eng. Anis Nazer Linked List ADT Is a list of nodes Each node has: data (can be any thing, int, char, Person, Point, day,...) link to

More information

Topic 14. The BinaryTree ADT

Topic 14. The BinaryTree ADT Topic 14 The BinaryTree ADT Objectives Define trees as data structures Define the terms associated with trees Discuss tree traversal algorithms Discuss a binary tree implementation Examine a binary tree

More information

Weiss Chapter 1 terminology (parenthesized numbers are page numbers)

Weiss Chapter 1 terminology (parenthesized numbers are page numbers) Weiss Chapter 1 terminology (parenthesized numbers are page numbers) assignment operators In Java, used to alter the value of a variable. These operators include =, +=, -=, *=, and /=. (9) autoincrement

More information

Object-Oriented Design Lecture 3 CSU 370 Fall 2007 (Pucella) Friday, Sep 14, 2007

Object-Oriented Design Lecture 3 CSU 370 Fall 2007 (Pucella) Friday, Sep 14, 2007 Object-Oriented Design Lecture 3 CSU 370 Fall 2007 (Pucella) Friday, Sep 14, 2007 Java We will be programming in Java in this course. Partly because it is a reasonable language, and partly because you

More information

Online Appendix to: Generalizing Database Forensics

Online Appendix to: Generalizing Database Forensics Online Appenix to: Generalizing Database Forensics KYRIACOS E. PAVLOU an RICHARD T. SNODGRASS, University of Arizona This appenix presents a step-by-step iscussion of the forensic analysis protocol that

More information

Data Structures. Alice E. Fischer. Lecture 4, Fall Alice E. Fischer Data Structures L4... 1/19 Lecture 4, Fall / 19

Data Structures. Alice E. Fischer. Lecture 4, Fall Alice E. Fischer Data Structures L4... 1/19 Lecture 4, Fall / 19 Data Structures Alice E. Fischer Lecture 4, Fall 2018 Alice E. Fischer Data Structures L4... 1/19 Lecture 4, Fall 2018 1 / 19 Outline 1 Ordered Lists 2 Sorted Lists Tail Pointers 3 Doubly Linked Lists

More information

Uninformed search methods

Uninformed search methods CS 1571 Introuction to AI Lecture 4 Uninforme search methos Milos Hauskrecht milos@cs.pitt.eu 539 Sennott Square Announcements Homework assignment 1 is out Due on Thursay, September 11, 014 before the

More information

Estimating Velocity Fields on a Freeway from Low Resolution Video

Estimating Velocity Fields on a Freeway from Low Resolution Video Estimating Velocity Fiels on a Freeway from Low Resolution Vieo Young Cho Department of Statistics University of California, Berkeley Berkeley, CA 94720-3860 Email: young@stat.berkeley.eu John Rice Department

More information

Object-Oriented Design Lecture 11 CS 3500 Spring 2010 (Pucella) Tuesday, Feb 16, 2010

Object-Oriented Design Lecture 11 CS 3500 Spring 2010 (Pucella) Tuesday, Feb 16, 2010 Object-Oriented Design Lecture 11 CS 3500 Spring 2010 (Pucella) Tuesday, Feb 16, 2010 11 Polymorphism The functional iterator interface we have defined last lecture is nice, but it is not very general.

More information

3 ADT Implementation in Java

3 ADT Implementation in Java Object-Oriented Design Lecture 3 CS 3500 Spring 2010 (Pucella) Tuesday, Jan 19, 2010 3 ADT Implementation in Java Last time, we defined an ADT via a signature and a specification. We noted that the job

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

PRIORITY QUEUES AND HEAPS

PRIORITY QUEUES AND HEAPS 10//1 Readings and Homework Read Chapter A Heap Implementation to learn about heaps PRIORITY QUEUES AND HEAPS Lecture 17 CS10 Fall 01 Exercise: Salespeople often make matrices that show all the great features

More information

How to Link your Accounts at Morgan Stanley

How to Link your Accounts at Morgan Stanley How to Link your Accounts at Morgan Stanley This guie explains how to link your accounts at Morgan Stanley for streamline online access to your shares an cash. At Morgan Stanley, your shares an cash are

More information

Computer Science CS221 Test 2 Name. 1. Give a definition of the following terms, and include a brief example. a) Big Oh

Computer Science CS221 Test 2 Name. 1. Give a definition of the following terms, and include a brief example. a) Big Oh Computer Science CS221 Test 2 Name 1. Give a definition of the following terms, and include a brief example. a) Big Oh b) abstract class c) overriding d) implementing an interface 10/21/1999 Page 1 of

More information

Linear First-Order PDEs

Linear First-Order PDEs MODULE 2: FIRST-ORDER PARTIAL DIFFERENTIAL EQUATIONS 9 Lecture 2 Linear First-Orer PDEs The most general first-orer linear PDE has the form a(x, y)z x + b(x, y)z y + c(x, y)z = (x, y), (1) where a, b,

More information

COMP200 INHERITANCE. OOP using Java, from slides by Shayan Javed

COMP200 INHERITANCE. OOP using Java, from slides by Shayan Javed 1 1 COMP200 INHERITANCE OOP using Java, from slides by Shayan Javed 2 Inheritance Derive new classes (subclass) from existing ones (superclass). Only the Object class (java.lang) has no superclass Every

More information

Arrays. https://docs.oracle.com/javase/tutorial/java/nutsandbolts/arrays.html

Arrays. https://docs.oracle.com/javase/tutorial/java/nutsandbolts/arrays.html 1 Arrays Arrays in Java an array is a container object that holds a fixed number of values of a single type the length of an array is established when the array is created 2 https://docs.oracle.com/javase/tutorial/java/nutsandbolts/arrays.html

More information

Stack and Its Implementation

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

More information

Plane Sweep Algorithms

Plane Sweep Algorithms CMPS 6640/4040 Computational Geometry Spring 2016 Plane Sweep Algorithms Carola Wenk 3/3/16 CMPS 6640/4040 Computational Geometry 1 Line Segment Intersection Input: A set S={s 1,, s n } of (close) line

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

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

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

Solutions to Tutorial 1 (Week 8)

Solutions to Tutorial 1 (Week 8) The University of Syney School of Mathematics an Statistics Solutions to Tutorial 1 (Week 8) MATH2069/2969: Discrete Mathematics an Graph Theory Semester 1, 2018 1. In each part, etermine whether the two

More information

Building Java Programs

Building Java Programs Building Java Programs A Back to Basics Approach Stuart Reges I Marty Stepp University ofwashington Preface 3 Chapter 1 Introduction to Java Programming 25 1.1 Basic Computing Concepts 26 Why Programming?

More information

+ Abstract Data Types

+ Abstract Data Types Linked Lists Abstract Data Types An Abstract Data Type (ADT) is: a set of values a set of operations Sounds familiar, right? I gave a similar definition for a data structure. Abstract Data Types Abstract

More information

ITI Introduction to Computing II

ITI Introduction to Computing II index.pdf March 17, 2013 1 ITI 1121. Introduction to Computing II Marcel Turcotte School of Electrical Engineering and Computer Science Version of March 17, 2013 Definitions A List is a linear abstract

More information

tree nonlinear Examples

tree nonlinear Examples The Tree ADT Objectives Define trees as data structures Define the terms associated with trees Discuss tree traversal algorithms Discuss a binary tree implementation Examine a binary tree example 10-2

More information

COE318 Lecture Notes Week 9 (Oct 31, 2011)

COE318 Lecture Notes Week 9 (Oct 31, 2011) COE318 Software Systems Lecture Notes: Week 9 1 of 12 COE318 Lecture Notes Week 9 (Oct 31, 2011) Topics Casting reference variables equals() and hashcode() overloading Collections and ArrayList utilities

More information