Acknowledgements. Materials were borrowed from

Size: px
Start display at page:

Download "Acknowledgements. Materials were borrowed from"

Transcription

1 Composite Design Pattern The composite pattern allows clients to treat either individual objects or collections of objects in a uniform manner; this is a structural design pattern For example, an operating system treats a directory (the collection) or a file (the individual object) in the same manner This pattern results in a tree like structure where the internal nodes are the composites and the leaf nodes are leaves that cannot be expanded further.

2 Acknowledgements Materials were borrowed from Design Patterns in Java by Steven Metsker and William Wake (textbook for course) Head First Design Patterns by Elisabeth Freeman, Eric Freeman, Bert Bates, and Kathy Sierra

3 Another Example: AWT Widgets

4 MachineComponent at Oozinoz

5 Solution 5.2 This is the code associated with a leaf Notice the recursive call inside the while loop

6 Adding More Operations

7

8 Solution 5.3

9 Tree Structure Here is one characterization of a tree structure There are other equally valid characterization of trees that you learned in data structures, give one of these alternative characterizations

10 A tree is an undirected simple graph G that satisfies any of the following equivalent conditions: G is connected and has no cycles. G has no cycles, and a simple cycle is formed if any edge is added to G. G is connected, and it is not connected anymore if any edge is removed from G. Any two vertices in G can be connected by a unique simple path. If G has finitely many vertices, say n of them, then the above statements are also equivalent to any of the following conditions: G is connected and has n 1 edges. G has no simple cycles and has n 1 edges

11

12 Solution 5.4

13 Testing for Tree Structure Some composite structures may contains cycles; this makes algorithms more difficult to write For example, to traverse a composite structure with cycles, you must keep track if a node has already been visited or not; if it has been visited, the algorithm must back off and try another alternative Your task here is to write code that will check whether a given composite is a tree or if it contains cycles

14 Solution 5.5

15 Another Complete Example This example comes from the Head First Design Patterns book There are several restaurants in town each with their own menu

16 A Class Diagram with Methods

17 This abstract class provides default implementations; notice that no individual method is abstract.

18 The MenuItem is the leaf of our composite tree structure

19 We use an ArrayList for the component part of the composite structure The print method only names the menu and does not print the contents

20 Adding an Iterator to the print method The iterator associated with an ArrayList will help us print out all items in the list. Notice that if we call print on the top level component than the entire menu will be printed using a lot of separate iterators each associated with an individual array list.

21 The Waitress handles the Menus Since the waitress is trained to work in all three restaurants, she must be able to print all three menus.

22 Adding a few select items is shown We can even add a submenu to an existing menu

23 The output from the waitress

24 A First Look at a true Iterator Our print method was able to print all items in all menus, but it is not considered to be an iterator Why not? An iterator for a composite pattern shown return each item in the composite Even if we use the built in iterator for each array list, an iterator for the composite structure must be able to descend down into the structure and return from lower levels to continue the iteration at an upper level What data structure would you choose to remember all these postponed obligations?

25 We use a stack structure to remember postponed iterations at higher levels

26 Testing our Composite Iterator We want to visit all items in all menus and only print out the vegetarian items as a single list of items

27

The Factory Method Design Pattern

The Factory Method Design Pattern The Factory Method Design Pattern Some common applications A factory method is used to create objects, whose subclasses can then override to specify the derived type of product that will be created More

More information

The State Design Pattern

The State Design Pattern The State Design Pattern The state pattern provides a clean way for an object to partially change its type at runtime When the behavior of an object can be modeled by using a UML statechart diagram, it

More information

The Observer Design Pattern

The Observer Design Pattern The Observer Design Pattern Some common applications Responding to GUI events Responding to changes in data values Model The observing task registers to be notified on any change of state for the object

More information

Object Design II: Design Patterns

Object Design II: Design Patterns Object-Oriented Software Engineering Using UML, Patterns, and Java Object Design II: Design Patterns Bernd Bruegge Applied Software Engineering Technische Universitaet Muenchen A Game: Get-15 The game

More information

Object Oriented Programming. Michał Bereta

Object Oriented Programming. Michał Bereta Object Oriented Programming Michał Bereta www.michalbereta.pl mbereta@pk.edu.pl Time and place Thursday, 18:00 20:15 Classroom 142 Institute of Informatics Warszawska street (Faculty of chemistry building)

More information

Design Patterns. Dr. Rania Khairy. Software Engineering and Development Tool

Design Patterns. Dr. Rania Khairy. Software Engineering and Development Tool Design Patterns What are Design Patterns? What are Design Patterns? Why Patterns? Canonical Cataloging Other Design Patterns Books: Freeman, Eric and Elisabeth Freeman with Kathy Sierra and Bert Bates.

More information

Tecniche di Progettazione: Design Patterns

Tecniche di Progettazione: Design Patterns Tecniche di Progettazione: Design Patterns GoF: Composite 1 Composite pattern Intent Compose objects into tree structures to represent part-whole hierarchies. Composite lets clients treat individual objects

More information

Trees : Part 1. Section 4.1. Theory and Terminology. A Tree? A Tree? Theory and Terminology. Theory and Terminology

Trees : Part 1. Section 4.1. Theory and Terminology. A Tree? A Tree? Theory and Terminology. Theory and Terminology Trees : Part Section. () (2) Preorder, Postorder and Levelorder Traversals Definition: A tree is a connected graph with no cycles Consequences: Between any two vertices, there is exactly one unique path

More information

Using Design Patterns in Java Application Development

Using Design Patterns in Java Application Development Using Design Patterns in Java Application Development ExxonMobil Research & Engineering Co. Clinton, New Jersey Michael P. Redlich (908) 730-3416 michael.p.redlich@exxonmobil.com About Myself Degree B.S.

More information

Outline. Computer Science 331. Course Information. Assessment. Contact Information Assessment. Introduction to CPSC 331

Outline. Computer Science 331. Course Information. Assessment. Contact Information Assessment. Introduction to CPSC 331 Outline Computer Science 331 Introduction to CPSC 331 Mike Jacobson Department of Computer Science University of Calgary Lecture #1 1 Contact Information 2 3 Expected Background 4 How to Succeed 5 References

More information

Trees & Tree-Based Data Structures. Part 4: Heaps. Definition. Example. Properties. Example Min-Heap. Definition

Trees & Tree-Based Data Structures. Part 4: Heaps. Definition. Example. Properties. Example Min-Heap. Definition Trees & Tree-Based Data Structures Dr. Christopher M. Bourke cbourke@cse.unl.edu Part 4: Heaps Definition Definition A (max) heap is a binary tree of depth d that satisfies the following properties. 1.

More information

Slide 1. Design Patterns. Prof. Mirco Tribastone, Ph.D

Slide 1. Design Patterns. Prof. Mirco Tribastone, Ph.D Slide 1 Design Patterns Prof. Mirco Tribastone, Ph.D. 22.11.2011 Introduction Slide 2 Basic Idea The same (well-established) schema can be reused as a solution to similar problems. Muster Abstraktion Anwendung

More information

Ingegneria del Software Corso di Laurea in Informatica per il Management. Design Patterns part 1

Ingegneria del Software Corso di Laurea in Informatica per il Management. Design Patterns part 1 Ingegneria del Software Corso di Laurea in Informatica per il Management Design Patterns part 1 Davide Rossi Dipartimento di Informatica Università di Bologna Pattern Each pattern describes a problem which

More information

Applying the Observer Design Pattern

Applying the Observer Design Pattern Applying the Observer Design Pattern Trenton Computer Festival Professional Seminars Michael P. Redlich (908) 730-3416 michael.p.redlich@exxonmobil.com About Myself Degree B.S. in Computer Science Rutgers

More information

Tecniche di Progettazione: Design Patterns

Tecniche di Progettazione: Design Patterns Tecniche di Progettazione: Design Patterns GoF: Composite 1 Composite pattern Intent Compose objects into tree structures to represent part-whole hierarchies. Composite lets clients treat individual objects

More information

Design Patterns. Comp2110 Software Design. Department of Computer Science Australian National University. Second Semester

Design Patterns. Comp2110 Software Design. Department of Computer Science Australian National University. Second Semester Design Patterns Comp2110 Software Design Department of Computer Science Australian National University Second Semester 2005 1 Design Pattern Space Creational patterns Deal with initializing and configuring

More information

Branching Undo/Redo Mechanism Based on Variadic Parameter Command Pattern

Branching Undo/Redo Mechanism Based on Variadic Parameter Command Pattern 2018 International Conference on Computer Science and Software Engineering (CSSE 2018) ISBN: 978-1-60595-555-1 Branching Undo/Redo Mechanism Based on Variadic Parameter Command Pattern Yingda Li, Jianzhuang

More information

Design Patterns (Composite)

Design Patterns (Composite) CS 247: Software Engineering Principles Design Patterns (Composite) Reading: Freeman, Robson, Bates, Sierra, Head First Design Patterns, O'Reilly Media, Inc. 2004 Ch 9: Composite and Iterator Patterns

More information

Think of drawing/diagramming editors. ECE450 Software Engineering II. The problem. The Composite pattern

Think of drawing/diagramming editors. ECE450 Software Engineering II. The problem. The Composite pattern Think of drawing/diagramming editors ECE450 Software Engineering II Drawing/diagramming editors let users build complex diagrams out of simple components The user can group components to form larger components......which

More information

» Access elements of a container sequentially without exposing the underlying representation

» Access elements of a container sequentially without exposing the underlying representation Iterator Pattern Behavioural Intent» Access elements of a container sequentially without exposing the underlying representation Iterator-1 Motivation Be able to process all the elements in a container

More information

Applying the Decorator Design Pattern

Applying the Decorator Design Pattern Applying the Decorator Design Pattern Trenton Computer Festival Professional Seminars Michael P. Redlich (908) 730-3416 michael.p.redlich@exxonmobil.com About Myself Degree B.S. in Computer Science Rutgers

More information

Design Patterns (Facade, Composite)

Design Patterns (Facade, Composite) CS 247: Software Engineering Principles Design Patterns (Facade, Composite) Reading: Freeman, Robson, Bates, Sierra, Head First Design Patterns, O'Reilly Media, Inc. 2004 Ch 7 Adapter and Facade patterns

More information

The Composite Pattern

The Composite Pattern The Composite Pattern Intent Compose objects into tree structures to represent part-whole hierarchies. Composite lets clients treat individual objects and compositions of objects uniformly. This is called

More information

CS314 Exam 2 - Spring Suggested Solution and Criteria 1

CS314 Exam 2 - Spring Suggested Solution and Criteria 1 CS314 Spring 2016 Exam 2 Solution and Grading Criteria. Grading acronyms: AIOBE - Array Index out of Bounds Exception may occur BOD - Benefit of the Doubt. Not certain code works, but, can't prove otherwise

More information

L18.1 Introduction... 2

L18.1 Introduction... 2 Department of Computer Science COS121 Lecture Notes: L18 Iterator Design Pattern 8 September 2014 Copyright c 2014 by Linda Marshall and Vreda Pieterse. All rights reserved. Contents L18.1 Introduction.................................

More information

Applying the Factory Method Design Pattern

Applying the Factory Method Design Pattern Applying the Factory Method Design Pattern Trenton Computer Festival Professional Seminars Michael P. Redlich (908) 730-3416 michael.p.redlich@exxonmobil.com About Myself Degree B.S. in Computer Science

More information

Tree. A path is a connected sequence of edges. A tree topology is acyclic there is no loop.

Tree. A path is a connected sequence of edges. A tree topology is acyclic there is no loop. Tree A tree consists of a set of nodes and a set of edges connecting pairs of nodes. A tree has the property that there is exactly one path (no more, no less) between any pair of nodes. A path is a connected

More information

Tecniche di Progettazione: Design Patterns

Tecniche di Progettazione: Design Patterns Tecniche di Progettazione: Design Patterns GoF: Iterator 1 Design patterns, Laura Semini, Università di Pisa, Dipartimento di Informatica. The Iterator Pattern Intent Provide a way to access the elements

More information

Design Patterns. Visitor Pattern. Hans Vangheluwe and Alexandre Denault

Design Patterns. Visitor Pattern. Hans Vangheluwe and Alexandre Denault Design Patterns Visitor Pattern Hans Vangheluwe and Alexandre Denault 3D Room Scene Graphs Universe Room 1 Room 2 Desk Bed Wardrobe Books Lamp Doors Drawers What if? I want to print out the content of

More information

COSC 2007 Data Structures II Final Exam. Part 1: multiple choice (1 mark each, total 30 marks, circle the correct answer)

COSC 2007 Data Structures II Final Exam. Part 1: multiple choice (1 mark each, total 30 marks, circle the correct answer) COSC 2007 Data Structures II Final Exam Thursday, April 13 th, 2006 This is a closed book and closed notes exam. There are total 3 parts. Please answer the questions in the provided space and use back

More information

Design Patterns (Iterator)

Design Patterns (Iterator) CS 247: Software Engineering Principles Design Patterns (Iterator) Reading: Freeman, Robson, Bates, Sierra, Head First Design Patterns, O'Reilly Media, Inc. 2004 Ch 9: Composite and Iterator Patterns Electronic

More information

PROBLEM SOLVING USING JAVA WITH DATA STRUCTURES. A Multimedia Approach. Mark Guzdial and Barbara Ericson PEARSON. College of Computing

PROBLEM SOLVING USING JAVA WITH DATA STRUCTURES. A Multimedia Approach. Mark Guzdial and Barbara Ericson PEARSON. College of Computing PROBLEM SOLVING WITH DATA STRUCTURES USING JAVA A Multimedia Approach Mark Guzdial and Barbara Ericson College of Computing Georgia Institute of Technology PEARSON Boston Columbus Indianapolis New York

More information

Binary Trees

Binary Trees Binary Trees 4-7-2005 Opening Discussion What did we talk about last class? Do you have any code to show? Do you have any questions about the assignment? What is a Tree? You are all familiar with what

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

Tecniche di Progettazione: Design Patterns

Tecniche di Progettazione: Design Patterns Tecniche di Progettazione: Design Patterns GoF: Iterator 1 Design patterns, Laura Semini, Università di Pisa, Dipartimento di Informatica. Diner and Pancake House Merger Objectville diner and Objectville

More information

Trees and Tree Traversal

Trees and Tree Traversal Trees and Tree Traversal Material adapted courtesy of Prof. Dave Matuszek at UPENN Definition of a tree A tree is a node with a value and zero or more children Depending on the needs of the program, the

More information

LECTURE 11 TREE TRAVERSALS

LECTURE 11 TREE TRAVERSALS DATA STRUCTURES AND ALGORITHMS LECTURE 11 TREE TRAVERSALS IMRAN IHSAN ASSISTANT PROFESSOR AIR UNIVERSITY, ISLAMABAD BACKGROUND All the objects stored in an array or linked list can be accessed sequentially

More information

Event Dispatch. Interactor Tree Lightweight vs. Heavyweight Positional Dispatch Focus Dispatch. 2.4 Event Dispatch 1

Event Dispatch. Interactor Tree Lightweight vs. Heavyweight Positional Dispatch Focus Dispatch. 2.4 Event Dispatch 1 Event Dispatch Interactor Tree Lightweight vs. Heavyweight Positional Dispatch Focus Dispatch 2.4 Event Dispatch 1 Event Architecture A pipeline: - Capture and Queue low-level hardware events - Dispatch

More information

Course Outline. [ORACLE PRESS] Kathy Sierra s & Bert Bates OCA/OCP Java 7 Programmer Course for Exam 1Z0-803 and 1Z

Course Outline. [ORACLE PRESS] Kathy Sierra s & Bert Bates OCA/OCP Java 7 Programmer Course for Exam 1Z0-803 and 1Z Course Outline [ORACLE PRESS] Kathy Sierra s & Bert Bates OCA/OCP Java 7 Programmer Course for Exam 1Z0-803 and 1Z0-804 30 Apr 2018 Contents 1. Course Objective 2. Pre-Assessment 3. Exercises, Quizzes,

More information

Event Dispatch. Interactor Tree Lightweight vs. Heavyweight Positional Dispatch Focus Dispatch. Event Architecture. A pipeline: Event Capture

Event Dispatch. Interactor Tree Lightweight vs. Heavyweight Positional Dispatch Focus Dispatch. Event Architecture. A pipeline: Event Capture Event Dispatch Interactor Tree Lightweight vs. Heavyweight Positional Dispatch Focus Dispatch 2.4 Event Dispatch 1 Event Architecture A pipeline: - Capture and Queue low-level hardware events - Dispatch

More information

Trees. CSE 373 Data Structures

Trees. CSE 373 Data Structures Trees CSE 373 Data Structures Readings Reading Chapter 7 Trees 2 Why Do We Need Trees? Lists, Stacks, and Queues are linear relationships Information often contains hierarchical relationships File directories

More information

Computer Science 210 Data Structures Siena College Fall Topic Notes: Trees

Computer Science 210 Data Structures Siena College Fall Topic Notes: Trees Computer Science 0 Data Structures Siena College Fall 08 Topic Notes: Trees We ve spent a lot of time looking at a variety of structures where there is a natural linear ordering of the elements in arrays,

More information

This course is intended for 3rd and/or 4th year undergraduate majors in Computer Science.

This course is intended for 3rd and/or 4th year undergraduate majors in Computer Science. Lecture 9 Graphs This course is intended for 3rd and/or 4th year undergraduate majors in Computer Science. You need to be familiar with the design and use of basic data structures such as Lists, Stacks,

More information

Course Review for. Cpt S 223 Fall Cpt S 223. School of EECS, WSU

Course Review for. Cpt S 223 Fall Cpt S 223. School of EECS, WSU Course Review for Midterm Exam 1 Cpt S 223 Fall 2011 1 Midterm Exam 1 When: Friday (10/14) 1:10-2pm Where: in class Closed book, closed notes Comprehensive Material for preparation: Lecture slides & in-class

More information

CS 3331 Advanced Object-Oriented Programming Final Exam

CS 3331 Advanced Object-Oriented Programming Final Exam Fall 2015 (Thursday, December 3) Name: CS 3331 Advanced Object-Oriented Programming Final Exam This test has 5 questions and pages numbered 1 through 10. Reminders This test is closed-notes and closed-book.

More information

Java Collections Framework

Java Collections Framework Java Collections Framework Introduction In this article from my free Java 8 course, you will be given a high-level introduction of the Java Collections Framework (JCF). The term Collection has several

More information

You will not be tested on JUnit or the Eclipse debugger. The exam does not cover interfaces.

You will not be tested on JUnit or the Eclipse debugger. The exam does not cover interfaces. Com S 227 Fall 2016 Topics and review problems for Exam 2 Thursday, November 10, 6:45 pm Locations, by last name: (same locations as Exam 1) A-C Curtiss 0127, first floor only D-N Hoover 2055 O-Z Troxel

More information

The fringe of a binary tree are the values in left-to-right order. For example, the fringe of the following tree:

The fringe of a binary tree are the values in left-to-right order. For example, the fringe of the following tree: Lecture 13 The Same Fringe Problem Given a binary tree: sealed trait BinTree [+A] case class Node [A]( lhs : BinTree [A], rhs : BinTree [A]) extends BinTree [A] case class Leaf [A]( x: A) extends BinTree

More information

Binary Trees Due Sunday March 16, 2014

Binary Trees Due Sunday March 16, 2014 Problem Description Binary Trees Due Sunday March 16, 2014 Recall that a binary tree is complete if all levels in the tree are full 1 except possibly the last level which is filled in from left to right.

More information

COURSE DESCRIPTION. John Lewis and William Loftus; Java: Software Solutions; Addison Wesley

COURSE DESCRIPTION. John Lewis and William Loftus; Java: Software Solutions; Addison Wesley COURSE DESCRIPTION Dept., Number Semester hours IS 323 Course Title 4 Course Coordinator Object Oriented Programming Catherine Dwyer and John Molluzzo Catalog Description (2004-2006) Continued development

More information

Trees. Eric McCreath

Trees. Eric McCreath Trees Eric McCreath 2 Overview In this lecture we will explore: general trees, binary trees, binary search trees, and AVL and B-Trees. 3 Trees Trees are recursive data structures. They are useful for:

More information

TREES cs2420 Introduction to Algorithms and Data Structures Spring 2015

TREES cs2420 Introduction to Algorithms and Data Structures Spring 2015 TREES cs2420 Introduction to Algorithms and Data Structures Spring 2015 1 administrivia 2 -assignment 7 due Thursday at midnight -asking for regrades through assignment 5 and midterm must be complete by

More information

Introduction to Software Engineering: Object Design I Reuse & Patterns

Introduction to Software Engineering: Object Design I Reuse & Patterns Introduction to Software Engineering: Object Design I Reuse & Patterns John T. Bell Department of Computer Science University of Illinois, Chicago Based on materials from Bruegge & DuToit 3e, Chapter 8,

More information

You must bring your ID to the exam.

You must bring your ID to the exam. Com S 227 Spring 2017 Topics and review problems for Exam 2 Monday, April 3, 6:45 pm Locations, by last name: (same locations as Exam 1) A-E Coover 2245 F-M Hoover 2055 N-S Physics 0005 T-Z Hoover 1213

More information

CS200 Spring 2004 Midterm Exam II April 14, Value Points a. 5 3b. 16 3c. 8 3d Total 100

CS200 Spring 2004 Midterm Exam II April 14, Value Points a. 5 3b. 16 3c. 8 3d Total 100 CS200 Spring 2004 Midterm Exam II April 14, 2004 Value Points 1. 12 2. 26 3a. 5 3b. 16 3c. 8 3d. 8 4. 25 Total 100 Name StudentID# 1. [12 pts] Short Answer from recitations: a) [3 pts] What is the first

More information

Head First Servlets And JSP By Bert Bates

Head First Servlets And JSP By Bert Bates Head First Servlets And JSP By Bert Bates If you are looking for the ebook Head First Servlets and JSP by Bert Bates in pdf format, then you've come to the correct site. We furnish the complete variant

More information

Design Patterns: Prototype, State, Composite, Memento

Design Patterns: Prototype, State, Composite, Memento Design Patterns: Prototype, State, Composite, Memento Let s start by considering the CanvasEditor as we had it at the end of the last class. Recall that when a button was clicked, the button s custom ActionListener

More information

Head First Servlets And JSP: Passing The Sun Certified Web Component Developer Exam (SCWCD) By Kathy Sierra, Bryan Basham

Head First Servlets And JSP: Passing The Sun Certified Web Component Developer Exam (SCWCD) By Kathy Sierra, Bryan Basham Head First Servlets And JSP: Passing The Sun Certified Web Component Developer Exam (SCWCD) By Kathy Sierra, Bryan Basham Developer Exam by Bryan Basham, Kathy Sierra, Bert Bates. A Brain-Friendly Guide

More information

Design Patterns In Java(TM) (Software Patterns Series) By William C. Wake, Steven John Metsker READ ONLINE

Design Patterns In Java(TM) (Software Patterns Series) By William C. Wake, Steven John Metsker READ ONLINE Design Patterns In Java(TM) (Software Patterns Series) By William C. Wake, Steven John Metsker READ ONLINE Design Patterns, Architectural «Concurrent Programming in Java» D. Lea. However, to truly master

More information

March 20/2003 Jayakanth Srinivasan,

March 20/2003 Jayakanth Srinivasan, Definition : A simple graph G = (V, E) consists of V, a nonempty set of vertices, and E, a set of unordered pairs of distinct elements of V called edges. Definition : In a multigraph G = (V, E) two or

More information

CS 2210a Data Structures and Algorithms Assignment 5 Solving a Labyrinth Due Date: December 6, 11:59 pm Total marks: 20

CS 2210a Data Structures and Algorithms Assignment 5 Solving a Labyrinth Due Date: December 6, 11:59 pm Total marks: 20 CS 2210a Data Structures and Algorithms Assignment 5 Solving a Labyrinth Due Date: December 6, 11:59 pm Total marks: 20 1 Overview For this assignment you will write a program for finding an exit to a

More information

Solving Problems by Searching

Solving Problems by Searching Solving Problems by Searching Berlin Chen 2004 Reference: 1. S. Russell and P. Norvig. Artificial Intelligence: A Modern Approach. Chapter 3 1 Introduction Problem-Solving Agents vs. Reflex Agents Problem-solving

More information

Introduction to Extreme Programming

Introduction to Extreme Programming Introduction to Extreme Programming References: William Wake, Capital One Steve Metsker, Capital One Kent Beck Robert Martin, Object Mentor Ron Jeffries,et.al. 12/3/2003 Slide Content by Wake/Metsker 1

More information

Prelim 2. CS 2110, November 19, 2015, 7:30 PM Total. Sorting Invariants Max Score Grader

Prelim 2. CS 2110, November 19, 2015, 7:30 PM Total. Sorting Invariants Max Score Grader Prelim 2 CS 2110, November 19, 2015, 7:30 PM 1 2 3 4 5 6 Total Question True Short Complexity Searching Trees Graphs False Answer Sorting Invariants Max 20 15 13 14 17 21 100 Score Grader The exam is closed

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

Event Dispatch. Dispatching events to windows and widgets.

Event Dispatch. Dispatching events to windows and widgets. Event Dispatch Dispatching events to windows and widgets. Review: Event Architecture 2 Event capture, processing and dispatch. Event Capture Hardware events (interrupts) Event Dispatch Software events

More information

ECE 242 Data Structures and Algorithms. Heaps I. Lecture 22. Prof. Eric Polizzi

ECE 242 Data Structures and Algorithms.  Heaps I. Lecture 22. Prof. Eric Polizzi ECE 242 Data Structures and Algorithms http://www.ecs.umass.edu/~polizzi/teaching/ece242/ Heaps I Lecture 22 Prof. Eric Polizzi Motivations Review of priority queue Input F E D B A Output Input Data structure

More information

NetBeans to Eclipse GlassFish Project Converter. Michael Tidd

NetBeans to Eclipse GlassFish Project Converter. Michael Tidd Project Number. GFP 0903 NetBeans to Eclipse GlassFish Project Converter A Major Qualifying Project Report: submitted to the faculty of the WORCESTER POLYTECHNIC INSTITUTE in partial fulfillment of the

More information

Lecture 3: Graphs and flows

Lecture 3: Graphs and flows Chapter 3 Lecture 3: Graphs and flows Graphs: a useful combinatorial structure. Definitions: graph, directed and undirected graph, edge as ordered pair, path, cycle, connected graph, strongly connected

More information

Outline. Design Patterns. Observer Pattern. Definitions & Classifications

Outline. Design Patterns. Observer Pattern. Definitions & Classifications Outline Design Patterns Definitions & Classifications Observer Pattern Intent Motivation Structure Participants Collaborations Consequences Implementation 1 What is a Design Pattern describes a problem

More information

AP Computer Science 4325

AP Computer Science 4325 4325 Instructional Unit Algorithm Design Techniques -divide-and-conquer The students will be -Decide whether an algorithm -classroom discussion -backtracking able to classify uses divide-and-conquer, -worksheets

More information

Prelim 2 Solution. CS 2110, November 19, 2015, 7:30 PM Total. Sorting Invariants Max Score Grader

Prelim 2 Solution. CS 2110, November 19, 2015, 7:30 PM Total. Sorting Invariants Max Score Grader Prelim 2 CS 2110, November 19, 2015, 7:30 PM 1 2 3 4 5 6 Total Question True Short Complexity Searching Trees Graphs False Answer Sorting Invariants Max 20 15 13 14 17 21 100 Score Grader The exam is closed

More information

San José State University Department of Computer Science CS151, Section 04 Object Oriented Design Spring 2018

San José State University Department of Computer Science CS151, Section 04 Object Oriented Design Spring 2018 San José State University Department of Computer Science CS151, Section 04 Object Oriented Design Spring 2018 Course and Contact Information Instructor: Vidya Rangasayee Office Location: MH 213 Telephone:

More information

12 Abstract Data Types

12 Abstract Data Types 12 Abstract Data Types 12.1 Foundations of Computer Science Cengage Learning Objectives After studying this chapter, the student should be able to: Define the concept of an abstract data type (ADT). Define

More information

Design Patterns. Paul Jackson. School of Informatics University of Edinburgh

Design Patterns. Paul Jackson. School of Informatics University of Edinburgh Design Patterns Paul Jackson School of Informatics University of Edinburgh Design Patterns Reuse of good ideas A pattern is a named, well understood good solution to a common problem. Experienced designers

More information

Data Structures and Algorithms

Data Structures and Algorithms Data Structures and Algorithms Trees Sidra Malik sidra.malik@ciitlahore.edu.pk Tree? In computer science, a tree is an abstract model of a hierarchical structure A tree is a finite set of one or more nodes

More information

Tecniche di Progettazione: Design Patterns

Tecniche di Progettazione: Design Patterns Tecniche di Progettazione: Design Patterns GoF: Composite 1 Composite pattern Intent Compose objects into tree structures to represent part-whole hierarchies. Composite lets clients treat individual objects

More information

CS106X Final Review. Rachel Gardner and Jared Bitz. slides adapted from Ashley Taylor, Anton Apostolatos, Nolan Handali, and Zachary Birnholz

CS106X Final Review. Rachel Gardner and Jared Bitz. slides adapted from Ashley Taylor, Anton Apostolatos, Nolan Handali, and Zachary Birnholz CS106X Final Review Rachel Gardner and Jared Bitz slides adapted from Ashley Taylor, Anton Apostolatos, Nolan Handali, and Zachary Birnholz Final Review Session Overview Logistics Pointers and Dynamic

More information

Introduction to Trees. D. Thiebaut CSC212 Fall 2014

Introduction to Trees. D. Thiebaut CSC212 Fall 2014 Introduction to Trees D. Thiebaut CSC212 Fall 2014 A bit of History & Data Visualization: The Book of Trees. (Link) We Concentrate on Binary-Trees, Specifically, Binary-Search Trees (BST) How Will Java

More information

Computer Science 385 Analysis of Algorithms Siena College Spring Topic Notes: Introduction and Overview

Computer Science 385 Analysis of Algorithms Siena College Spring Topic Notes: Introduction and Overview Computer Science 385 Analysis of Algorithms Siena College Spring 2011 Topic Notes: Introduction and Overview Welcome to Analysis of Algorithms! What is an Algorithm? A possible definition: a step-by-step

More information

(Refer Slide Time: 06:01)

(Refer Slide Time: 06:01) Data Structures and Algorithms Dr. Naveen Garg Department of Computer Science and Engineering Indian Institute of Technology, Delhi Lecture 28 Applications of DFS Today we are going to be talking about

More information

Trees and Tree Traversals. Binary Trees. COMP 210: Object-Oriented Programming Lecture Notes 8. Based on notes by Logan Mayfield

Trees and Tree Traversals. Binary Trees. COMP 210: Object-Oriented Programming Lecture Notes 8. Based on notes by Logan Mayfield OMP 210: Object-Oriented Programming Lecture Notes 8 Trees and Tree Traversals ased on notes by Logan Mayfield In these notes we look at inary Trees and how to traverse them. inary Trees Imagine a list.

More information

CIS265/ Trees Red-Black Trees. Some of the following material is from:

CIS265/ Trees Red-Black Trees. Some of the following material is from: CIS265/506 2-3-4 Trees Red-Black Trees Some of the following material is from: Data Structures for Java William H. Ford William R. Topp ISBN 0-13-047724-9 Chapter 27 Balanced Search Trees Bret Ford 2005,

More information

Parallel Physically Based Path-tracing and Shading Part 3 of 2. CIS565 Fall 2012 University of Pennsylvania by Yining Karl Li

Parallel Physically Based Path-tracing and Shading Part 3 of 2. CIS565 Fall 2012 University of Pennsylvania by Yining Karl Li Parallel Physically Based Path-tracing and Shading Part 3 of 2 CIS565 Fall 202 University of Pennsylvania by Yining Karl Li Jim Scott 2009 Spatial cceleration Structures: KD-Trees *Some portions of these

More information

Design Patterns. Vasileios Theodorou

Design Patterns. Vasileios Theodorou Design Patterns Vasileios Theodorou 1 A partitioning structural design pattern Motivation - Treat individual objects and compositions of objects uniformly Application - Objects are recursively composed

More information

Breadth First Search. cse2011 section 13.3 of textbook

Breadth First Search. cse2011 section 13.3 of textbook Breadth irst Search cse section. of textbook Graph raversal (.) Application example Given a graph representation and a vertex s in the graph, find all paths from s to the other vertices. wo common graph

More information

COMP251: Algorithms and Data Structures. Jérôme Waldispühl School of Computer Science McGill University

COMP251: Algorithms and Data Structures. Jérôme Waldispühl School of Computer Science McGill University COMP251: Algorithms and Data Structures Jérôme Waldispühl School of Computer Science McGill University About Me Jérôme Waldispühl Associate Professor of Computer Science I am conducting research in Bioinformatics

More information

Midterm 2. Read all of the following information before starting the exam:

Midterm 2. Read all of the following information before starting the exam: Midterm 2 ECE 608 April 7, 2004, 7-9pm Name: Read all of the following information before starting the exam: NOTE: Unanswered questions are worth 30% credit, rounded down. Writing any answer loses this

More information

Software Eningeering. Lecture 9 Design Patterns 2

Software Eningeering. Lecture 9 Design Patterns 2 Software Eningeering Lecture 9 Design Patterns 2 Patterns covered Creational Abstract Factory, Builder, Factory Method, Prototype, Singleton Structural Adapter, Bridge, Composite, Decorator, Facade, Flyweight,

More information

DATA STRUCTURES AND ALGORITHMS

DATA STRUCTURES AND ALGORITHMS LECTURE 11 Babeş - Bolyai University Computer Science and Mathematics Faculty 2017-2018 In Lecture 10... Hash tables Separate chaining Coalesced chaining Open Addressing Today 1 Open addressing - review

More information

Design Patterns Lecture 2

Design Patterns Lecture 2 Design Patterns Lecture 2 Josef Hallberg josef.hallberg@ltu.se 1 Patterns covered Creational Abstract Factory, Builder, Factory Method, Prototype, Singleton Structural Adapter, Bridge, Composite, Decorator,

More information

Search Trees. Undirected graph Directed graph Tree Binary search tree

Search Trees. Undirected graph Directed graph Tree Binary search tree Search Trees Undirected graph Directed graph Tree Binary search tree 1 Binary Search Tree Binary search key property: Let x be a node in a binary search tree. If y is a node in the left subtree of x, then

More information

Basic Graph Algorithms (CLRS B.4-B.5, )

Basic Graph Algorithms (CLRS B.4-B.5, ) Basic Graph Algorithms (CLRS B.-B.,.-.) Basic Graph Definitions A graph G = (V,E) consists of a finite set of vertices V and a finite set of edges E. Directed graphs: E is a set of ordered pairs of vertices

More information

Graph Theory CS/Math231 Discrete Mathematics Spring2015

Graph Theory CS/Math231 Discrete Mathematics Spring2015 1 Graphs Definition 1 A directed graph (or digraph) G is a pair (V, E), where V is a finite set and E is a binary relation on V. The set V is called the vertex set of G, and its elements are called vertices

More information

CS2 Algorithms and Data Structures Note 9

CS2 Algorithms and Data Structures Note 9 CS2 Algorithms and Data Structures Note 9 Graphs The remaining three lectures of the Algorithms and Data Structures thread will be devoted to graph algorithms. 9.1 Directed and Undirected Graphs A graph

More information

Figure 1. A breadth-first traversal.

Figure 1. A breadth-first traversal. 4.3 Tree Traversals Stepping, or iterating, through the entries of a linearly ordered list has only two obvious orders: from front to back or from back to front. There is no obvious traversal of a general

More information

CS 171: Introduction to Computer Science II. Binary Search Trees

CS 171: Introduction to Computer Science II. Binary Search Trees CS 171: Introduction to Computer Science II Binary Search Trees Binary Search Trees Symbol table applications BST definitions and terminologies Search and insert Traversal Ordered operations Delete Symbol

More information

CSC 1052 Algorithms & Data Structures II: Linked Lists Revisited

CSC 1052 Algorithms & Data Structures II: Linked Lists Revisited CSC 1052 Algorithms & Data Structures II: Linked Lists Revisited Professor Henry Carter Spring 2018 Recap Recursion involves defining a solution based on smaller versions of the same solution Three components:

More information

CSE 214 Computer Science II Introduction to Tree

CSE 214 Computer Science II Introduction to Tree CSE 214 Computer Science II Introduction to Tree Fall 2017 Stony Brook University Instructor: Shebuti Rayana shebuti.rayana@stonybrook.edu http://www3.cs.stonybrook.edu/~cse214/sec02/ Tree Tree is a non-linear

More information

SCJP Study Guide Exam: CX Book: Sun Certified Programmer and Developer for Java 2 Study Guide Authors

SCJP Study Guide Exam: CX Book: Sun Certified Programmer and Developer for Java 2 Study Guide Authors Scjp Study Guide Hereby are provided some of the complimentary Exam dumps for SCJP 2015 exam, Leaping for the rapid career boast and hands on facilities in pocket, there are SCJP Study Guide Exam: CX-310-081

More information