Chapter 5 Review. 1. Write a summary of what you think are the important points of this chapter.

Size: px
Start display at page:

Download "Chapter 5 Review. 1. Write a summary of what you think are the important points of this chapter."

Transcription

1 DM_Final.qxp:DM.qxp // 8: AM Page 89 Chapter Review. Write a summary of what you think are the important points of this chapter.. Is the following graph planar or nonplanar? If it is planar, redraw it without edge crossings.. Show that the graph described by the following adjacency matrix is planar. A B C D E A B C D E. What is the chromatic number for each of the following? a. any tree with five vertices b. any tree with an odd number of vertices c. any tree with an even number of vertices d. any tree with two or more vertices

2 9 Chapter More Graphs, Subgraphs, and Trees. a. Explain why this graph is a bipartite graph. b. Is this graph a complete bipartite graph? Explain why or why not. c. Is this graph planar? If so, find a planar drawing for the graph. d. What is the chromatic number for this graph? 6. For the following graph, draw a subgraph that has vertices and edges. R S T U W V 7. Mr. Gonzalez, the principal at Central High School, leaves his office once an hour to visit the math, science, and civics classrooms, and then returns to his office. The distances between rooms are shown on the following graph. Science Office 6 ft 96 ft ft Math ft ft ft Civics

3 Chapter Review 9 a. Find the shortest route possible for Mr. Gonzalez. b. What is the total distance of the shortest route in part a? c. What kind of circuit does Mr. Gonzalez make? 8. For the following complete graph, find the total weight of the nearest-neighbor route starting at A. B A C 9 8 E D 9. Find a spanning tree for the following graph if one exists.. How many different spanning trees are there for a cycle with vertices? With vertices? With vertices? With n vertices?. For the following graph, explain why the darkened edges are not a spanning tree.

4 9 Chapter More Graphs, Subgraphs, and Trees. When given the position where it is currently located and its destination, a certain robot car is programmed to find the shortest path for the trip. The routes that the car can travel are shown on the following graph. Big Burger Pool Grocery Theater miles 7 Library Hospital 6 Home School Cleaners 6 a. Use inspection to find the shortest path from Home to Big Burger. b. What is the minimum distance from Home to Big Burger? c. Use the shortest path algorithm (page 8) to find the shortest paths from Home to each of the other locations on the graph.. Assume that all locations represented by the graph in Exercise need to be connected by cable. Find the minimum amount of cable needed to link the nine locations.. Are the following graphs trees? Explain why or why not. a. b.

5 Chapter Review 9 c. d.. What happens to a tree if the number of edges is increased by one? 6. Use the breadth-first search algorithm from page 6 to find a spanning tree for the following graph. Begin the algorithm at the vertex labeled S. S 7. The vertices of the following graph represent buildings on a small college campus. Administrators at the campus want to connect the buildings with fiber-optic cable and are interested in finding the least expensive way of doing so. The costs of connecting buildings (in thousands of dollars) are shown as weighted edges of the graph. 9 6 a. Use one of the spanning tree algorithms to find a minimum spanning tree for the graph. b. What is the total cost of connecting the buildings? 8

6 9 Chapter More Graphs, Subgraphs, and Trees 8. Draw a tree with eight vertices that has exactly four vertices of degree. 9. Create a problem that can be solved by using one of the minimum spanning tree algorithms and find the solution to your problem. Then give your problem to a classmate and ask him or her to solve it. If the answer differs from yours, determine the correct solution.. You roll a die with faces numbered 6. Then you flip a coin. Draw a tree diagram to show the possible outcomes.. Represent ( ) * 8 + as a binary expression tree.. Find a postorder listing for the following binary tree. + + * 6. Evaluate the following reverse Polish notation. 7 + * +. Create a mathematical expression of your own, represent it with an expression tree, and find the postorder listing for the tree. Give your listing to another student in your class and have him or her evaluate the reverse Polish notation. Check the value of the notation with the value of your original mathematical expression.

7 Chapter Review 9 Bibliography Chartrand, Gary. 98. Introductory Graph Theory. Mineola, NY: Dover Publications, Inc. Chavey, Darrah. 99. Drawing Pictures with One Line. (HistoMAP Module ). Lexington, MA: COMAP, Inc. COMAP.. For All Practical Purposes: Mathematical Literacy in Today s World. 9th ed. New York: W. H. Freeman. Cook, William J.. In Pursuit of the Traveling Salesman: Mathematics at the Limits of Computation. Princeton, NJ: Princeton University Press. Copes, W., C. Sloyer, R. Stark, and W. Sacco Graph Theory: Euler s Rich Legacy. Providence, RI: Janson. Cozzens, Margaret B., and R. Porter Mathematics and Its Applications. Lexington, MA: D. C. Heath and Company. Cozzens, Margaret B., and R. Porter Problem Solving Using Graphs. Lexington, MA: COMAP, Inc. Crisler, Nancy, and Walter Meyer. 99. Shortest Paths. Lexington, MA: COMAP, Inc. Dossey, John, A. Otto, L. Spence, and C. Vanden Eynden. 6. Discrete Mathematics. th ed. Upper Saddle River, NJ: Pearson. Francis, Richard L The Mathematician s Coloring Book. (HiMAP Module ). Lexington, MA: COMAP, Inc. Ore, O. 99. Graphs and Their Uses. Washington, DC: Mathematical Association of America. Queen Mary, University of London. "How bumblebees tackle the traveling salesman problem." ScienceDaily, 9 Jun.. Web. 8 Feb..

Chapter 4 Review. 1. Write a summary of what you think are the important points of this chapter. 2. Draw a graph for the following task table.

Chapter 4 Review. 1. Write a summary of what you think are the important points of this chapter. 2. Draw a graph for the following task table. hapter Review 1. Write a summary of what you think are the important points of this chapter.. raw a graph for the following task table. Task Time Prerequisites Start 0 None 1 5,, I, inish. a. List the

More information

Honors ICM- Graph Theory Unit 7 Homework Packet Homework Day 1

Honors ICM- Graph Theory Unit 7 Homework Packet Homework Day 1 Honors ICM- Graph Theory Unit 7 Homework Packet Homework Day 1 Name Period: 6. Construct a graph with three critical paths. 7. Determine the minimum project time and the critical path for the following

More information

Unit 7 Day 6. Section 5.2 Traveling Salesman Problem & Section 5.3 Finding the Shortest Route

Unit 7 Day 6. Section 5.2 Traveling Salesman Problem & Section 5.3 Finding the Shortest Route Unit 7 Day 6 Section 5.2 Traveling Salesman Problem & Section 5.3 Finding the Shortest Route 1 Warm Up Day 7: 1. Draw a planar graph with 6 vertices. 2. Is a K 9,3 graph planar? Explain your reasoning.

More information

Chapter 14 Section 3 - Slide 1

Chapter 14 Section 3 - Slide 1 AND Chapter 14 Section 3 - Slide 1 Chapter 14 Graph Theory Chapter 14 Section 3 - Slide WHAT YOU WILL LEARN Graphs, paths and circuits The Königsberg bridge problem Euler paths and Euler circuits Hamilton

More information

14 Graph Theory. Exercise Set 14-1

14 Graph Theory. Exercise Set 14-1 14 Graph Theory Exercise Set 14-1 1. A graph in this chapter consists of vertices and edges. In previous chapters the term was used as a visual picture of a set of ordered pairs defined by a relation or

More information

Notebook Assignments

Notebook Assignments Notebook Assignments These six assignments are a notebook using techniques from class in the single concrete context of graph theory. This is supplemental to your usual assignments, and is designed for

More information

Topic 10 Part 2 [474 marks]

Topic 10 Part 2 [474 marks] Topic Part 2 [474 marks] The complete graph H has the following cost adjacency matrix Consider the travelling salesman problem for H a By first finding a minimum spanning tree on the subgraph of H formed

More information

Unit 7 Day 5 Graph Theory. Section 5.1 and 5.2

Unit 7 Day 5 Graph Theory. Section 5.1 and 5.2 Unit 7 Day 5 Graph Theory Section 5.1 and 5.2 Determine if the below exist; write it if it exists or explain using the definition why it doesn t exist. B Euler Path? No, because more than two have odd

More information

Brief History. Graph Theory. What is a graph? Types of graphs Directed graph: a graph that has edges with specific directions

Brief History. Graph Theory. What is a graph? Types of graphs Directed graph: a graph that has edges with specific directions Brief History Graph Theory What is a graph? It all began in 1736 when Leonhard Euler gave a proof that not all seven bridges over the Pregolya River could all be walked over once and end up where you started.

More information

Module 2: NETWORKS AND DECISION MATHEMATICS

Module 2: NETWORKS AND DECISION MATHEMATICS Further Mathematics 2017 Module 2: NETWORKS AND DECISION MATHEMATICS Chapter 9 Undirected Graphs and Networks Key knowledge the conventions, terminology, properties and types of graphs; edge, face, loop,

More information

Worksheet for the Final Exam - Part I. Graphs

Worksheet for the Final Exam - Part I. Graphs Worksheet for the Final Exam - Part I. Graphs Date and Time: May 10 2012 Thursday 11:50AM~1:50PM Location: Eng 120 Start with the Self-Test Exercises (pp.816) in Prichard. 1. Give the adjacency matrix

More information

Further Mathematics 2016 Module 2: NETWORKS AND DECISION MATHEMATICS Chapter 9 Undirected Graphs and Networks

Further Mathematics 2016 Module 2: NETWORKS AND DECISION MATHEMATICS Chapter 9 Undirected Graphs and Networks Further Mathematics 2016 Module 2: NETWORKS AND DECISION MATHEMATICS Chapter 9 Undirected Graphs and Networks Key knowledge the conventions, terminology, properties and types of graphs; edge, face, loop,

More information

Sections 5.2, 5.3. & 5.4

Sections 5.2, 5.3. & 5.4 MATH 11008: Graph Theory Terminology Sections 5.2, 5.3. & 5.4 Routing problem: A routing problem is concerned with finding ways to route the delivery of good and/or services to an assortment of destinations.

More information

NANYANG TECHNOLOGICAL UNIVERSITY SEMESTER II EXAMINATION MH 1301 DISCRETE MATHEMATICS TIME ALLOWED: 2 HOURS

NANYANG TECHNOLOGICAL UNIVERSITY SEMESTER II EXAMINATION MH 1301 DISCRETE MATHEMATICS TIME ALLOWED: 2 HOURS NANYANG TECHNOLOGICAL UNIVERSITY SEMESTER II EXAMINATION 2015-2016 MH 1301 DISCRETE MATHEMATICS May 2016 TIME ALLOWED: 2 HOURS INSTRUCTIONS TO CANDIDATES 1. This examination paper contains FIVE (5) questions

More information

Week 8: The fundamentals of graph theory; Planar Graphs 25 and 27 October, 2017

Week 8: The fundamentals of graph theory; Planar Graphs 25 and 27 October, 2017 (1/25) MA284 : Discrete Mathematics Week 8: The fundamentals of graph theory; Planar Graphs 25 and 27 October, 2017 1 Definitions 1. A graph 2. Paths and connected graphs 3. Complete graphs 4. Vertex degree

More information

Finite Math A, Chapter 8: Scheduling 1

Finite Math A, Chapter 8: Scheduling 1 Finite Math A, Chapter 8: Scheduling 1 Finite Math A Chapter 8 The Mathematics of Scheduling Chapter 8: The Mathematics of Scheduling Pd 2 & 6 Pd 4 & 7 Lesson Homework Tues Wed 8.1, 8.2 The Basic Elements

More information

SEVENTH EDITION and EXPANDED SEVENTH EDITION

SEVENTH EDITION and EXPANDED SEVENTH EDITION SEVENTH EDITION and EXPANDED SEVENTH EDITION Slide 14-1 Chapter 14 Graph Theory 14.1 Graphs, Paths and Circuits Definitions A graph is a finite set of points called vertices (singular form is vertex) connected

More information

Discrete Mathematics 2 Exam File Spring 2012

Discrete Mathematics 2 Exam File Spring 2012 Discrete Mathematics 2 Exam File Spring 2012 Exam #1 1.) Suppose f : X Y and A X. a.) Prove or disprove: f -1 (f(a)) A. Prove or disprove: A f -1 (f(a)). 2.) A die is rolled four times. What is the probability

More information

Graph (1A) Young Won Lim 4/19/18

Graph (1A) Young Won Lim 4/19/18 Graph (1A) Copyright (c) 2015 2018 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version

More information

Chapter 5: Euler Paths and Circuits The Mathematics of Getting Around

Chapter 5: Euler Paths and Circuits The Mathematics of Getting Around 1 Finite Math A Chapter 5: Euler Paths and Circuits The Mathematics of Getting Around Academic Standards Covered in this Chapter: *************************************************************************************

More information

Discrete Mathematics (2009 Spring) Graphs (Chapter 9, 5 hours)

Discrete Mathematics (2009 Spring) Graphs (Chapter 9, 5 hours) Discrete Mathematics (2009 Spring) Graphs (Chapter 9, 5 hours) Chih-Wei Yi Dept. of Computer Science National Chiao Tung University June 1, 2009 9.1 Graphs and Graph Models What are Graphs? General meaning

More information

Chapter 5: Euler Paths and Circuits The Mathematics of Getting Around

Chapter 5: Euler Paths and Circuits The Mathematics of Getting Around 1 Finite Math A Chapter 5: Euler Paths and Circuits The Mathematics of Getting Around Academic Standards Covered in this Chapter: *************************************************************************************

More information

Introduction III. Graphs. Motivations I. Introduction IV

Introduction III. Graphs. Motivations I. Introduction IV Introduction I Graphs Computer Science & Engineering 235: Discrete Mathematics Christopher M. Bourke cbourke@cse.unl.edu Graph theory was introduced in the 18th century by Leonhard Euler via the Königsberg

More information

Week 12: Trees; Review. 22 and 24 November, 2017

Week 12: Trees; Review. 22 and 24 November, 2017 (1/24) MA284 : Discrete Mathematics Week 12: Trees; Review http://www.maths.nuigalway.ie/~niall/ma284/ 22 and 24 November, 2017 C C C C 1 Trees Recall... Applications: Chemistry Applications: Decision

More information

Graph Theory and Applications

Graph Theory and Applications Graph Theory and Applications with Exercises and Problems Jean-Claude Fournier WILEY Table of Contents Introduction 17 Chapter 1. Basic Concepts 21 1.1 The origin of the graph concept 21 1.2 Definition

More information

Travel Every Edge 3. Example (Travel Every Edge 3) In the graphs above, can you find a circuit that hits every edge without repeating any edges?

Travel Every Edge 3. Example (Travel Every Edge 3) In the graphs above, can you find a circuit that hits every edge without repeating any edges? Travel Every Edge 3 Example (Travel Every Edge 3) In the graphs above, can you find a circuit that hits every edge without repeating any edges? Find the degrees of the vertices of the graphs above! Make

More information

Note that there are questions printed on both sides of each page!

Note that there are questions printed on both sides of each page! Math 1001 Name: Fall 2007 Test 1 Student ID: 10/5/07 Time allowed: 50 minutes Section: 10:10 11:15 12:20 This exam includes 7 pages, including this one and a sheet for scratch work. There are a total of

More information

Week 10: Colouring graphs, and Euler s paths. 14 and 16 November, 2018

Week 10: Colouring graphs, and Euler s paths. 14 and 16 November, 2018 Wednesday's slides (1/34) MA284 : Discrete Mathematics Week 10: Colouring graphs, and Euler s paths http://www.maths.nuigalway.ie/ niall/ma284/ 14 and 16 November, 2018 1 Colouring The Four Colour Theorem

More information

Elements of Graph Theory

Elements of Graph Theory Elements of Graph Theory Quick review of Chapters 9.1 9.5, 9.7 (studied in Mt1348/2008) = all basic concepts must be known New topics we will mostly skip shortest paths (Chapter 9.6), as that was covered

More information

Graph Theory Lecture 5: Modeling with Graphs, and Euler Circuits/Paths Spring 2014 Morgan Schreffler Office: POT 902

Graph Theory Lecture 5: Modeling with Graphs, and Euler Circuits/Paths Spring 2014 Morgan Schreffler Office: POT 902 Graph Theory Lecture 5: Modeling with Graphs, and Euler Circuits/Paths Spring 2014 Morgan Schreffler Office: POT 902 http://www.ms.uky.edu/~mschreffler Modeling With Graphs (General Tips) We like to make

More information

Warm Up. Use Kruskal s algorithm to find the minimum spanning tree and it s weight.

Warm Up. Use Kruskal s algorithm to find the minimum spanning tree and it s weight. Warm Up Use Kruskal s algorithm to find the minimum spanning tree and it s weight. Edge Weight (1,4) 1 (6,7) 1 (1,2) 2 (3,4) 2 (2,4) 3 (1,3) 4 (4,7) 4 (3,6) 5 (5,7) 6 1 Section 5.6 Binary Trees, Expression

More information

11-5 Networks. Königsberg Bridge Problem

11-5 Networks. Königsberg Bridge Problem Section 11-5 Networks 1 11-5 Networks In the 1700s, the people of Königsberg, Germany (now Kaliningrad in Russia), used to enjoy walking over the bridges of the Pregel River. There were three landmasses

More information

Week 10: Colouring graphs, and Euler s paths. 14 and 16 November, 2018

Week 10: Colouring graphs, and Euler s paths. 14 and 16 November, 2018 MA284 : Discrete Mathematics Week 10: Colouring graphs, and Euler s paths http://www.maths.nuigalway.ie/ niall/ma284/ 14 and 16 November, 2018 1 Colouring The Four Colour Theorem 2 Graph colouring Chromatic

More information

Math 3012 Applied Combinatorics Lecture 12

Math 3012 Applied Combinatorics Lecture 12 September 29, 2015 Math 3012 Applied Combinatorics Lecture 12 William T. Trotter trotter@math.gatech.edu Planar Graphs Definition A graph G is planar if it can be drawn in the plane with no edge crossings.

More information

Instant Insanity Instructor s Guide Make-it and Take-it Kit for AMTNYS 2006

Instant Insanity Instructor s Guide Make-it and Take-it Kit for AMTNYS 2006 Instant Insanity Instructor s Guide Make-it and Take-it Kit for AMTNYS 2006 THE KIT: This kit contains materials for two Instant Insanity games, a student activity sheet with answer key and this instructor

More information

Exercises for Discrete Maths

Exercises for Discrete Maths Exercises for Discrete Maths Discrete Maths Teacher: Alessandro Artale Teaching Assistants: Elena Botoeva, Daniele Porello http://www.inf.unibz.it/~artale/dml/dml.htm Week 6 Computer Science Free University

More information

MEI Further Mathematics Support Programme

MEI Further Mathematics Support Programme Further Mathematics Support Programme the Further Mathematics Support Programme www.furthermaths.org.uk Modelling and problem solving with Networks Sharon Tripconey Let Maths take you Further Nov 2009

More information

STUDENT NUMBER: MATH Final Exam. Lakehead University. April 13, Dr. Adam Van Tuyl

STUDENT NUMBER: MATH Final Exam. Lakehead University. April 13, Dr. Adam Van Tuyl Page 1 of 13 NAME: STUDENT NUMBER: MATH 1281 - Final Exam Lakehead University April 13, 2011 Dr. Adam Van Tuyl Instructions: Answer all questions in the space provided. If you need more room, answer on

More information

Friday, March 30. Last time we were talking about traversal of a rooted ordered tree, having defined preorder traversal. We will continue from there.

Friday, March 30. Last time we were talking about traversal of a rooted ordered tree, having defined preorder traversal. We will continue from there. Friday, March 30 Last time we were talking about traversal of a rooted ordered tree, having defined preorder traversal. We will continue from there. Postorder traversal (recursive definition) If T consists

More information

GRAPHS, GRAPH MODELS, GRAPH TERMINOLOGY, AND SPECIAL TYPES OF GRAPHS

GRAPHS, GRAPH MODELS, GRAPH TERMINOLOGY, AND SPECIAL TYPES OF GRAPHS GRAPHS, GRAPH MODELS, GRAPH TERMINOLOGY, AND SPECIAL TYPES OF GRAPHS DR. ANDREW SCHWARTZ, PH.D. 10.1 Graphs and Graph Models (1) A graph G = (V, E) consists of V, a nonempty set of vertices (or nodes)

More information

Graph Theory

Graph Theory Graph Theory 2012.04.18 Our goal today is to learn some basic concepts in graph theory and explore fun problems using graph theory. A graph is a mathematical object that captures the notion of connection.

More information

Lesson 5.2. The Traveling Salesperson Problem. Explore This

Lesson 5.2. The Traveling Salesperson Problem. Explore This Lesson 5.2 The Traveling alesperson Problem In Lesson 4.5, you explored circuits that visited each vertex of your graph exactly once (Hamiltonian circuits). In this lesson, you will extend your thinking

More information

MA 111 Review for Exam 3

MA 111 Review for Exam 3 MA 111 Review for Exam 3 Exam 3 (given in class on Tuesday, March 27, 2012) will cover Chapter 5. You should: know what a graph is and how to use graphs to model geographic relationships. know how to describe

More information

Design and Analysis of Algorithms

Design and Analysis of Algorithms CS4335: Design and Analysis of Algorithms Who we are: Dr. Lusheng WANG Dept. of Computer Science office: B6422 phone: 2788 9820 e-mail: lwang@cs.cityu.edu.hk Course web site: http://www.cs.cityu.edu.hk/~lwang/ccs3335.html

More information

1. The Highway Inspector s Problem

1. The Highway Inspector s Problem MATH 100 Survey of Mathematics Fall 2009 1. The Highway Inspector s Problem The Königsberg Bridges over the river Pregel C c d e A g D a B b Figure 1. Bridges f Is there a path that crosses every bridge

More information

Multi-edges, loops, and two or more pieces are all allowed. Example 4 (Not Graphs). None of the following are graphs.

Multi-edges, loops, and two or more pieces are all allowed. Example 4 (Not Graphs). None of the following are graphs. MA 111, Topic 4: Graph Theory Our last topic in this course is called Graph Theory. This is the mathematics of connections, associations, and relationships. Definition 1. A Graph is a set of points called

More information

Math.3336: Discrete Mathematics. Chapter 10 Graph Theory

Math.3336: Discrete Mathematics. Chapter 10 Graph Theory Math.3336: Discrete Mathematics Chapter 10 Graph Theory Instructor: Dr. Blerina Xhabli Department of Mathematics, University of Houston https://www.math.uh.edu/ blerina Email: blerina@math.uh.edu Fall

More information

1. a graph G = (V (G), E(G)) consists of a set V (G) of vertices, and a set E(G) of edges (edges are pairs of elements of V (G))

1. a graph G = (V (G), E(G)) consists of a set V (G) of vertices, and a set E(G) of edges (edges are pairs of elements of V (G)) 10 Graphs 10.1 Graphs and Graph Models 1. a graph G = (V (G), E(G)) consists of a set V (G) of vertices, and a set E(G) of edges (edges are pairs of elements of V (G)) 2. an edge is present, say e = {u,

More information

Section 5.5. Left subtree The left subtree of a vertex V on a binary tree is the graph formed by the left child L of V, the descendents

Section 5.5. Left subtree The left subtree of a vertex V on a binary tree is the graph formed by the left child L of V, the descendents Section 5.5 Binary Tree A binary tree is a rooted tree in which each vertex has at most two children and each child is designated as being a left child or a right child. Thus, in a binary tree, each vertex

More information

A region is each individual area or separate piece of the plane that is divided up by the network.

A region is each individual area or separate piece of the plane that is divided up by the network. Math 135 Networks and graphs Key terms Vertex (Vertices) ach point of a graph dge n edge is a segment that connects two vertices. Region region is each individual area or separate piece of the plane that

More information

Section 3.4 Basic Results of Graph Theory

Section 3.4 Basic Results of Graph Theory 1 Basic Results of Graph Theory Section 3.4 Basic Results of Graph Theory Purpose of Section: To formally introduce the symmetric relation of a (undirected) graph. We introduce such topics as Euler Tours,

More information

Computational Discrete Mathematics

Computational Discrete Mathematics Computational Discrete Mathematics Combinatorics and Graph Theory with Mathematica SRIRAM PEMMARAJU The University of Iowa STEVEN SKIENA SUNY at Stony Brook CAMBRIDGE UNIVERSITY PRESS Table of Contents

More information

Study Guide Mods: Date:

Study Guide Mods: Date: Graph Theory Name: Study Guide Mods: Date: Define each of the following. It may be helpful to draw examples that illustrate the vocab word and/or counterexamples to define the word. 1. Graph ~ 2. Vertex

More information

Lecture 20 : Trees DRAFT

Lecture 20 : Trees DRAFT CS/Math 240: Introduction to Discrete Mathematics 4/12/2011 Lecture 20 : Trees Instructor: Dieter van Melkebeek Scribe: Dalibor Zelený DRAFT Last time we discussed graphs. Today we continue this discussion,

More information

IJIET, e-issn , p-issn , Vol. 2, No. 2, July 2018

IJIET, e-issn , p-issn , Vol. 2, No. 2, July 2018 IJIET, e-issn 2548-8430, p-issn 2548-8422, Vol. 2, No. 2, July 2018 International Journal of Indonesian Education and Teaching http://e-journal.usd.ac.id/index.php/ijiet Sanata Dharma University, Yogyakarta,

More information

The Human Brain & Graph Theory

The Human Brain & Graph Theory The Human Brain & Graph Theory Graph Theory A graph is a collection of vertices (or points) that are connected by edges (or lines) Edges may overlap Graphs do not need edges Graphs can be directed with

More information

Chapter 5: The Mathematics of Getting Around

Chapter 5: The Mathematics of Getting Around Euler Paths and Circuits Chapter 5: The Mathematics of Getting Around 5.1 Street-Routing Problem Our story begins in the 1700s in the medieval town of Königsberg, in Eastern Europe. At the time, Königsberg

More information

6.2 Initial Problem. Section 6.2 Network Problems. 6.2 Initial Problem, cont d. Weighted Graphs. Weighted Graphs, cont d. Weighted Graphs, cont d

6.2 Initial Problem. Section 6.2 Network Problems. 6.2 Initial Problem, cont d. Weighted Graphs. Weighted Graphs, cont d. Weighted Graphs, cont d Section 6.2 Network Problems Goals Study weighted graphs Study spanning trees Study minimal spanning trees Use Kruskal s algorithm 6.2 Initial Problem Walkways need to be built between the buildings on

More information

CS 311 Discrete Math for Computer Science Dr. William C. Bulko. Graphs

CS 311 Discrete Math for Computer Science Dr. William C. Bulko. Graphs CS 311 Discrete Math for Computer Science Dr. William C. Bulko Graphs 2014 Definitions Definition: A graph G = (V,E) consists of a nonempty set V of vertices (or nodes) and a set E of edges. Each edge

More information

Solutions to Exercises 9

Solutions to Exercises 9 Discrete Mathematics Lent 2009 MA210 Solutions to Exercises 9 (1) There are 5 cities. The cost of building a road directly between i and j is the entry a i,j in the matrix below. An indefinite entry indicates

More information

Solutions to Math 381 Quiz 2

Solutions to Math 381 Quiz 2 Solutions to Math 381 Quiz 2 November 7, 2018 (1) In one sentence, what is the goal of your class project? Each team has a different answer here. (2) Write a function in Python which computes a linear

More information

Math Fall 2011 Exam 3 Solutions - December 8, 2011

Math Fall 2011 Exam 3 Solutions - December 8, 2011 Math 365 - all 2011 xam 3 Solutions - ecember 8, 2011 NM: STUNT I: This is a closed-book and closed-note examination. alculators are not allowed. Please show all your work. Use only the paper provided.

More information

Key Graph Theory Theorems

Key Graph Theory Theorems Key Graph Theory Theorems Rajesh Kumar MATH 239 Intro to Combinatorics August 19, 2008 3.3 Binary Trees 3.3.1 Problem (p.82) Determine the number, t n, of binary trees with n edges. The number of binary

More information

Mathematical Thinking

Mathematical Thinking Mathematical Thinking Chapter 2 Hamiltonian Circuits and Spanning Trees It often happens in mathematics that what appears to be a minor detail in the statement of a problem can have a profound effect on

More information

Warm -Up. 1. Draw a connected graph with 4 vertices and 7 edges. What is the sum of the degrees of all the vertices?

Warm -Up. 1. Draw a connected graph with 4 vertices and 7 edges. What is the sum of the degrees of all the vertices? Warm -Up 1. Draw a connected graph with 4 vertices and 7 edges. What is the sum of the degrees of all the vertices? 1. Is this graph a. traceable? b. Eulerian? 3. Eulerize this graph. Warm-Up Eulerize

More information

Majority and Friendship Paradoxes

Majority and Friendship Paradoxes Majority and Friendship Paradoxes Majority Paradox Example: Small town is considering a bond initiative in an upcoming election. Some residents are in favor, some are against. Consider a poll asking the

More information

CS 2336 Discrete Mathematics

CS 2336 Discrete Mathematics CS 2336 Discrete Mathematics Lecture 15 Graphs: Planar Graphs 1 Outline What is a Planar Graph? Euler Planar Formula Platonic Solids Five Color Theorem Kuratowski s Theorem 2 What is a Planar Graph? Definition

More information

Student Name and ID Number. MATH 3012 Final Exam, December 11, 2014, WTT

Student Name and ID Number. MATH 3012 Final Exam, December 11, 2014, WTT MATH 3012 Final Exam, December 11, 2014, WTT Student Name and ID Number 1. Consider the 11-element set X consisting of the three capital letters {A, B, C} and the eight digits {0, 1, 2,..., 7}. a. How

More information

Math for Liberal Arts MAT 110: Chapter 13 Notes

Math for Liberal Arts MAT 110: Chapter 13 Notes Math for Liberal Arts MAT 110: Chapter 13 Notes Graph Theory David J. Gisch Networks and Euler Circuits Network Representation Network: A collection of points or objects that are interconnected in some

More information

1 Euler Circuits. Many of the things we do in daily life involve networks, like the one shown below [Houston Street Map]. Figure 1: Houston City Map

1 Euler Circuits. Many of the things we do in daily life involve networks, like the one shown below [Houston Street Map]. Figure 1: Houston City Map 1 Euler Circuits Many of the things we do in daily life involve networks, like the one shown below [Houston Street Map]. Figure 1: Houston City Map Suppose you needed to vist a number of locations in the

More information

Math 100 Homework 4 B A C E

Math 100 Homework 4 B A C E Math 100 Homework 4 Part 1 1. nswer the following questions for this graph. (a) Write the vertex set. (b) Write the edge set. (c) Is this graph connected? (d) List the degree of each vertex. (e) oes the

More information

Hamilton paths & circuits. Gray codes. Hamilton Circuits. Planar Graphs. Hamilton circuits. 10 Nov 2015

Hamilton paths & circuits. Gray codes. Hamilton Circuits. Planar Graphs. Hamilton circuits. 10 Nov 2015 Hamilton paths & circuits Def. A path in a multigraph is a Hamilton path if it visits each vertex exactly once. Def. A circuit that is a Hamilton path is called a Hamilton circuit. Hamilton circuits Constructing

More information

v V Question: How many edges are there in a graph with 10 vertices each of degree 6?

v V Question: How many edges are there in a graph with 10 vertices each of degree 6? ECS20 Handout Graphs and Trees March 4, 2015 (updated 3/9) Notion of a graph 1. A graph G = (V,E) consists of V, a nonempty set of vertices (or nodes) and E, a set of pairs of elements of V called edges.

More information

Worksheet 28: Wednesday November 18 Euler and Topology

Worksheet 28: Wednesday November 18 Euler and Topology Worksheet 28: Wednesday November 18 Euler and Topology The Konigsberg Problem: The Foundation of Topology The Konigsberg Bridge Problem is a very famous problem solved by Euler in 1735. The process he

More information

Chapter 11: Graphs and Trees. March 23, 2008

Chapter 11: Graphs and Trees. March 23, 2008 Chapter 11: Graphs and Trees March 23, 2008 Outline 1 11.1 Graphs: An Introduction 2 11.2 Paths and Circuits 3 11.3 Matrix Representations of Graphs 4 11.5 Trees Graphs: Basic Definitions Informally, a

More information

Kari Lock. Hudson River Undergraduate Mathematics Conference 2003

Kari Lock. Hudson River Undergraduate Mathematics Conference 2003 Kari Lock Williams College Hudson River Undergraduate R g Mathematics Conference 2003 Dfi Definition ii Definition:Agraceful labeling is a labeling of the vertices of a graph with distinct integers from

More information

Chapter 4. Relations & Graphs. 4.1 Relations. Exercises For each of the relations specified below:

Chapter 4. Relations & Graphs. 4.1 Relations. Exercises For each of the relations specified below: Chapter 4 Relations & Graphs 4.1 Relations Definition: Let A and B be sets. A relation from A to B is a subset of A B. When we have a relation from A to A we often call it a relation on A. When we have

More information

08. First and second degree equations

08. First and second degree equations 08. First and second degree equations GRAPH THEORY Based on Chris K. Caldwell work: http://primes.utm.edu/cgi-bin/caldwell/tutor/graph/index.html INTRODUCTION Consider the next problem: Old Königsberg

More information

Using Travelling Salesman Problem Algorithms to. Plan the Most Time-efficient Route for Robots

Using Travelling Salesman Problem Algorithms to. Plan the Most Time-efficient Route for Robots Using Travelling Salesman Problem Algorithms to Plan the Most Time-efficient Route for Robots Zhaoxin Xue The High School Affiliated to Renmin University of China, 14-0646 Using Travelling Salesman Problem

More information

Applications. 72 Variables and Patterns

Applications. 72 Variables and Patterns Applications. Sean bought a DVD player and a receiver. The store offered him an interest-free payment plan with weekly installments. Sean figured out that after n weeks of payments, he would still owe

More information

Week 11: Eulerian and Hamiltonian graphs; Trees. 15 and 17 November, 2017

Week 11: Eulerian and Hamiltonian graphs; Trees. 15 and 17 November, 2017 (1/22) MA284 : Discrete Mathematics Week 11: Eulerian and Hamiltonian graphs; Trees http://www.maths.nuigalway.ie/~niall/ma284/ 15 and 17 November, 2017 Hamilton s Icosian Game (Library or the Royal Irish

More information

Topics Covered. Introduction to Graphs Euler s Theorem Hamiltonian Circuits The Traveling Salesman Problem Trees and Kruskal s Algorithm

Topics Covered. Introduction to Graphs Euler s Theorem Hamiltonian Circuits The Traveling Salesman Problem Trees and Kruskal s Algorithm Graph Theory Topics Covered Introduction to Graphs Euler s Theorem Hamiltonian Circuits The Traveling Salesman Problem Trees and Kruskal s Algorithm What is a graph? A collection of points, called vertices

More information

Undirected Network Summary

Undirected Network Summary Undirected Network Summary Notice that the network above has multiple edges joining nodes a to d and the network has a loop at node d. Also c is called an isolated node as it is not connected to any other

More information

Chapter 17: Information Science Lesson Plan

Chapter 17: Information Science Lesson Plan Lesson Plan For All Practical Purposes Binary Codes Mathematical Literacy in Today s World, 7th ed. Encoding with Parity Check Sums Cryptography Web Searches and Mathematical Logic 2006, W.H. Freeman and

More information

D.K.M.COLLEGE FOR WOMEN (AUTONOMOUS), VELLORE-1.

D.K.M.COLLEGE FOR WOMEN (AUTONOMOUS), VELLORE-1. D.K.M.COLLEGE FOR WOMEN (AUTONOMOUS), VELLORE-1. DESIGN AND ANALYSIS OF ALGORITHM UNIT- I SECTION-A 2 MARKS 1. Define an algorithm? 2. Specify the criteria of algorithm? 3. What is Computational Procedure?

More information

Outline. Graphs. Divide and Conquer.

Outline. Graphs. Divide and Conquer. GRAPHS COMP 321 McGill University These slides are mainly compiled from the following resources. - Professor Jaehyun Park slides CS 97SI - Top-coder tutorials. - Programming Challenges books. Outline Graphs.

More information

On the packing chromatic number of some lattices

On the packing chromatic number of some lattices On the packing chromatic number of some lattices Arthur S. Finbow Department of Mathematics and Computing Science Saint Mary s University Halifax, Canada BH C art.finbow@stmarys.ca Douglas F. Rall Department

More information

An Investigation of the Planarity Condition of Grötzsch s Theorem

An Investigation of the Planarity Condition of Grötzsch s Theorem Le Chen An Investigation of the Planarity Condition of Grötzsch s Theorem The University of Chicago: VIGRE REU 2007 July 16, 2007 Abstract The idea for this paper originated from Professor László Babai

More information

Graph Theory. 1 Introduction to Graphs. Martin Stynes Department of Mathematics, UCC January 26, 2011

Graph Theory. 1 Introduction to Graphs. Martin Stynes Department of Mathematics, UCC   January 26, 2011 Graph Theory Martin Stynes Department of Mathematics, UCC email: m.stynes@ucc.ie January 26, 2011 1 Introduction to Graphs 1 A graph G = (V, E) is a non-empty set of nodes or vertices V and a (possibly

More information

Varying Applications (examples)

Varying Applications (examples) Graph Theory Varying Applications (examples) Computer networks Distinguish between two chemical compounds with the same molecular formula but different structures Solve shortest path problems between cities

More information

of Nebraska - Lincoln

of Nebraska - Lincoln University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln MAT Exam Expository Papers Math in the Middle Institute Partnership 7-2008 De Bruijn Cycles Val Adams University of Nebraska

More information

WUCT121. Discrete Mathematics. Graphs

WUCT121. Discrete Mathematics. Graphs WUCT121 Discrete Mathematics Graphs WUCT121 Graphs 1 Section 1. Graphs 1.1. Introduction Graphs are used in many fields that require analysis of routes between locations. These areas include communications,

More information

The Traveling Salesman Problem Nearest-Neighbor Algorithm

The Traveling Salesman Problem Nearest-Neighbor Algorithm The Traveling Salesman Problem Nearest-Neighbor Algorithm Lecture 31 Sections 6.4 Robb T. Koether Hampden-Sydney College Fri, Apr 6, 2018 Robb T. Koether (Hampden-Sydney College)The Traveling Salesman

More information

Introduction to Graph Theory

Introduction to Graph Theory Introduction to Graph Theory Tandy Warnow January 20, 2017 Graphs Tandy Warnow Graphs A graph G = (V, E) is an object that contains a vertex set V and an edge set E. We also write V (G) to denote the vertex

More information

Graphs Introduction and Depth first algorithm

Graphs Introduction and Depth first algorithm Graphs Introduction and Depth first algorithm Carol Zander Introduction to graphs Graphs are extremely common in computer science applications because graphs are common in the physical world. Everywhere

More information

Discrete Wiskunde II. Lecture 6: Planar Graphs

Discrete Wiskunde II. Lecture 6: Planar Graphs , 2009 Lecture 6: Planar Graphs University of Twente m.uetz@utwente.nl wwwhome.math.utwente.nl/~uetzm/dw/ Planar Graphs Given an undirected graph (or multigraph) G = (V, E). A planar embedding of G is

More information

Chapter 1 Graph Theory

Chapter 1 Graph Theory Chapter Graph Theory - Representations of Graphs Graph, G=(V,E): It consists of the set V of vertices and the set E of edges. If each edge has its direction, the graph is called the directed graph (digraph).

More information

Discrete Mathematics Course Review 3

Discrete Mathematics Course Review 3 21-228 Discrete Mathematics Course Review 3 This document contains a list of the important definitions and theorems that have been covered thus far in the course. It is not a complete listing of what has

More information

Discrete mathematics

Discrete mathematics Discrete mathematics Petr Kovář petr.kovar@vsb.cz VŠB Technical University of Ostrava DiM 470-2301/02, Winter term 2018/2019 About this file This file is meant to be a guideline for the lecturer. Many

More information

Discrete Math: Selected Homework Problems

Discrete Math: Selected Homework Problems Discrete Math: Selected Homework Problems 2006 2.1 Prove: if d is a common divisor of a and b and d is also a linear combination of a and b then d is a greatest common divisor of a and b. (5 3.1 Prove:

More information