1. (12 points) Give a table-driven parse table for the following grammar: 1) X ax 2) X P 3) P DT 4) T P 5) T ε 7) D 1

Size: px
Start display at page:

Download "1. (12 points) Give a table-driven parse table for the following grammar: 1) X ax 2) X P 3) P DT 4) T P 5) T ε 7) D 1"

Transcription

1 1. (12 points) Give a table-driven parse table for the following grammar: 1) X ax 2) X P 3) P DT 4) T P 5) T ε 6) D 0 7) D 1 4. Recall that our class database has the following schemas: SNAP(StudentID, Name, Address, Phone) CP(Course, Prerequisite) CDH(Course, Day, Hour) CR(Course, Room) CSG(Course, StudentID, Grade) (a) (5 points) Give a datalog query and rule or rules for the query: Find all prerequisites (including prerequisites of prerequisites) for CS 936. (b) (5 points) Give a relational algebra expression for the query: List the name and phone numbers of all those who live at the same address as those who have an A grade in CS236. (c) (5 points) Give a relational algebra expression for the query : List all students who took CS236 at 1:00 pm in room 3718 HBLL who do not have a D or an E grade.

2 5. Consider the set A, and the relation R on A. A = {a, b, c, d, x, y, z} R = {(a, b), (a, z), (z, x), (x, c), (b, x), (d, c), (b, d)}. (a) (2 points) How many elements are in 2 A? (b) (6 points) Give the matrix for R + (the transitive closure of R). (c) (6 points) Determine the properties of R. Circle all that apply. reflexive irreflexive symmetric anti-symmetric asymmetric transitive (d) (2 points) Which properties does R* (the reflexive transitive closure) add to R +? Page 2/8

3 5. (continued) (e) (5 points) Draw the Hasse diagram for R* with the element a at the top. (f) (2 points) List the maximal element(s) of R*. (g) (5 points) Give a topological sort of R +. (h) (5 points) Using a matrix representation for R*, compute the symmetric closure, R (s), for R*, making the result a partition, P. (i) (2 points) Give the blocks of P. Page 3/8

4 6. (a). (3 points) For the given domain space and range space, show an injection that is not a bijection. a) D (b). (3 points) For the given domain space and range space, show a surjection that is not a bijection. b) (c). (3 points) For the given domain space and range space, show a bijection. c) Page 4/8

5 8. Consider the following graph G. (a). (5 points) Give the adjacency matrix, M, for this graph. (b). (5 points) Compute M 2. (c) (5 points) Assume the first pivot chosen is d. Give the matrix after one iteration of Warshall s algorithm. Page 5/8

6 11. Consider the following graph G. b e h a d g c f (a). (8 points) Create a depth first search tree starting from node a. If there is a choice to be made between which node to consider next, choose the node with the label closest to the beginning of the alphabet. (b). (6 points) Add all other edges from the graph G not yet found in the DFS tree (make them dashed lines). Label them as to whether they are forward, backward, or cross arcs. (c). (4 points) Add the postfix numbering to the DFS tree. (d). (3 points) What is it about this DFS tree that shows there is a cycle in the original graph? Page 6/8

7 12. Consider the following graph G. 5 a 4 6 h b c 7 14 f 10 d 2 e g 11 (a). (8 points) Assume you are using Dijkstra s algorithm to find the shortest path from a to all other nodes. List the nodes in the order in which they are settled. Page 7/8

8 13. Consider the following graph G. 5 a 4 6 h b c 7 14 f 10 d 2 e g 11 (a). (7 points) Using Kruskal s algorithm, list the edges (e.g. {x, y}) of the minimal cost spanning tree in the order in which they are added to the result. (c). (7 points) Using Prim s algorithm, and assuming the first node chosen is h, list nodes of the minimal cost spanning tree in the order in which they are added to the result. Page 8/8

CS 410/584, Algorithm Design & Analysis, Lecture Notes 4

CS 410/584, Algorithm Design & Analysis, Lecture Notes 4 CS 0/58,, Biconnectivity Let G = (N,E) be a connected A node a N is an articulation point if there are v and w different from a such that every path from 0 9 8 3 5 7 6 David Maier Biconnected Component

More information

CIS 375 Intro to Discrete Mathematics Exam 3 (Section M004: Blue) 6 December Points Possible

CIS 375 Intro to Discrete Mathematics Exam 3 (Section M004: Blue) 6 December Points Possible Name: CIS 375 Intro to Discrete Mathematics Exam 3 (Section M004: Blue) 6 December 2016 Question Points Possible Points Received 1 12 2 14 3 14 4 12 5 16 6 16 7 16 Total 100 Instructions: 1. This exam

More information

CIS 375 Intro to Discrete Mathematics Exam 3 (Section M001: Green) 6 December Points Possible

CIS 375 Intro to Discrete Mathematics Exam 3 (Section M001: Green) 6 December Points Possible Name: CIS 375 Intro to Discrete Mathematics Exam 3 (Section M001: Green) 6 December 2016 Question Points Possible Points Received 1 12 2 14 3 14 4 12 5 16 6 16 7 16 Total 100 Instructions: 1. This exam

More information

Homework 8. Sections Notes on Matrix Multiplication

Homework 8. Sections Notes on Matrix Multiplication Homework 8 Sections 5.3-5.5 + Notes on Matrix Multiplication Please write your name and student ID number clearly at the top of your homework. If you have multiple pages, please make sure they are secured

More information

Practice Final Solutions. 1. Consider the following algorithm. Assume that n 1. line code 1 alg(n) { 2 j = 0 3 if (n = 0) { 4 return j

Practice Final Solutions. 1. Consider the following algorithm. Assume that n 1. line code 1 alg(n) { 2 j = 0 3 if (n = 0) { 4 return j Practice Final Solutions 1. Consider the following algorithm. Assume that n 1. line code 1 alg(n) 2 j = 0 3 if (n = 0) 4 return j } 5 else 6 j = 2n+ alg(n 1) 7 return j } } Set up a recurrence relation

More information

Exam Practice Problems

Exam Practice Problems Math 231 Exam Practice Problems WARNING: This is not a sample test. Problems on the exams may or may not be similar to these problems. These problems are just intended to focus your study of the topics.

More information

REVIEW QUESTIONS. Chapter 1: Foundations: Sets, Logic, and Algorithms

REVIEW QUESTIONS. Chapter 1: Foundations: Sets, Logic, and Algorithms REVIEW QUESTIONS Chapter 1: Foundations: Sets, Logic, and Algorithms 1. Why can t a Venn diagram be used to prove a statement about sets? 2. Suppose S is a set with n elements. Explain why the power set

More information

Discrete Optimization 2010 Lecture 2 Matroids & Shortest Paths

Discrete Optimization 2010 Lecture 2 Matroids & Shortest Paths Matroids Shortest Paths Discrete Optimization 2010 Lecture 2 Matroids & Shortest Paths Marc Uetz University of Twente m.uetz@utwente.nl Lecture 2: sheet 1 / 25 Marc Uetz Discrete Optimization Matroids

More information

Decision Mathematics D1 Advanced/Advanced Subsidiary. Tuesday 9 June 2015 Morning Time: 1 hour 30 minutes

Decision Mathematics D1 Advanced/Advanced Subsidiary. Tuesday 9 June 2015 Morning Time: 1 hour 30 minutes Paper Reference(s) 6689/01 Edexcel GCE Decision Mathematics D1 Advanced/Advanced Subsidiary Tuesday 9 June 2015 Morning Time: 1 hour 30 minutes Materials required for examination Nil Items included with

More information

Preliminaries. Graphs. E : set of edges (arcs) (Undirected) Graph : (i, j) = (j, i) (edges) V = {1, 2, 3, 4, 5}, E = {(1, 3), (3, 2), (2, 4)}

Preliminaries. Graphs. E : set of edges (arcs) (Undirected) Graph : (i, j) = (j, i) (edges) V = {1, 2, 3, 4, 5}, E = {(1, 3), (3, 2), (2, 4)} Preliminaries Graphs G = (V, E), V : set of vertices E : set of edges (arcs) (Undirected) Graph : (i, j) = (j, i) (edges) 1 2 3 5 4 V = {1, 2, 3, 4, 5}, E = {(1, 3), (3, 2), (2, 4)} 1 Directed Graph (Digraph)

More information

Decision Mathematics D1

Decision Mathematics D1 Pearson Edexcel GCE Decision Mathematics D1 Advanced/Advanced Subsidiary Friday 16 June 2017 Afternoon Time: 1 hour 30 minutes Paper Reference 6689/01 You must have: D1 Answer Book Candidates may use any

More information

Decision Mathematics D1 (6689) Practice paper A mark scheme

Decision Mathematics D1 (6689) Practice paper A mark scheme Decision Mathematics D1 (6689) Practice paper A mark scheme 1. e.g. C 2 = A 5 = E 4 cs C = 2 A = 5 E = 4 M1 F 1 = B 3 = D 6 cs F = 1 B = 3 D = 6 M1 A =1, B = 3, C = 2, D = 6, E = 4, F = 1 (5) (5 marks)

More information

B.C.S.Part I Mathematics (Sem.- I & II) Syllabus to be implemented from June 2013 onwards.

B.C.S.Part I Mathematics (Sem.- I & II) Syllabus to be implemented from June 2013 onwards. B.C.S.Part I Mathematics (Sem.- I & II) Syllabus to be implemented from June 2013 onwards. 1. TITLE: Subject Mathematics 2. YEAR OF IMPLEMENTATION : Revised Syllabus will be implemented from June 2013

More information

Discrete Wiskunde II. Lecture 5: Shortest Paths & Spanning Trees

Discrete Wiskunde II. Lecture 5: Shortest Paths & Spanning Trees , 2009 Lecture 5: Shortest Paths & Spanning Trees University of Twente m.uetz@utwente.nl wwwhome.math.utwente.nl/~uetzm/dw/ Shortest Path Problem "#$%&'%()*%"()$#+,&- Given directed "#$%&'()*+,%+('-*.#/'01234564'.*,'7+"-%/8',&'5"4'84%#3

More information

MATH 433 Applied Algebra Lecture 14: Functions. Relations.

MATH 433 Applied Algebra Lecture 14: Functions. Relations. MATH 433 Applied Algebra Lecture 14: Functions. Relations. Cartesian product Definition. The Cartesian product X Y of two sets X and Y is the set of all ordered pairs (x,y) such that x X and y Y. The Cartesian

More information

Decision Mathematics D1

Decision Mathematics D1 Pearson Edexcel International Advanced Level Decision Mathematics D1 Advanced/Advanced Subsidiary Monday 1 February 2016 Afternoon Time: 1 hour 30 minutes Paper Reference WDM01/01 You must have: D1 Answer

More information

IS 709/809: Computational Methods in IS Research Fall Exam Review

IS 709/809: Computational Methods in IS Research Fall Exam Review IS 709/809: Computational Methods in IS Research Fall 2017 Exam Review Nirmalya Roy Department of Information Systems University of Maryland Baltimore County www.umbc.edu Exam When: Tuesday (11/28) 7:10pm

More information

CS325: Analysis of Algorithms, Fall Final Exam

CS325: Analysis of Algorithms, Fall Final Exam CS: Analysis of Algorithms, Fall 0 Final Exam I don t know policy: you may write I don t know and nothing else to answer a question and receive percent of the total points for that problem whereas a completely

More information

Curriculum Area: Mathematics A Level - 2 year course (AQA) Year: 12. Aspire Learn Achieve

Curriculum Area: Mathematics A Level - 2 year course (AQA) Year: 12. Aspire Learn Achieve Topics Core 1 - Algebra Core 1 - Coordinate Geometry Core 1 - Differentiation Core 1 - Integration Year Curriculum - Use and manipulate surds - Quadratic functions and their graphs - The discriminant of

More information

Decision Mathematics Module D1

Decision Mathematics Module D1 GCE Examinations Decision Mathematics Module D1 Advanced Subsidiary / Advanced Level Paper B Time: 1 hour 30 minutes Instructions and Information Candidates may use any calculator except those with a facility

More information

Discrete Mathematics & Mathematical Reasoning Course Overview

Discrete Mathematics & Mathematical Reasoning Course Overview Discrete Mathematics & Mathematical Reasoning Course Overview Colin Stirling Informatics Colin Stirling (Informatics) Discrete Mathematics Today 1 / 19 Teaching staff Lecturers: Colin Stirling, first half

More information

Equivalence relations

Equivalence relations Equivalence relations R A A is an equivalence relation if R is 1. reflexive (a, a) R 2. symmetric, and (a, b) R (b, a) R 3. transitive. (a, b), (b, c) R (a, c) R Example: Let S be a relation on people

More information

(1) Which of the following are propositions? If it is a proposition, determine its truth value: A propositional function, but not a proposition.

(1) Which of the following are propositions? If it is a proposition, determine its truth value: A propositional function, but not a proposition. Math 231 Exam Practice Problem Solutions WARNING: This is not a sample test. Problems on the exams may or may not be similar to these problems. These problems are just intended to focus your study of the

More information

min 4x 1 5x 2 + 3x 3 s.t. x 1 + 2x 2 + x 3 = 10 x 1 x 2 6 x 1 + 3x 2 + x 3 14

min 4x 1 5x 2 + 3x 3 s.t. x 1 + 2x 2 + x 3 = 10 x 1 x 2 6 x 1 + 3x 2 + x 3 14 The exam is three hours long and consists of 4 exercises. The exam is graded on a scale 0-25 points, and the points assigned to each question are indicated in parenthesis within the text. If necessary,

More information

NATIONAL UNIVERSITY OF SINGAPORE CS3230 DESIGN AND ANALYSIS OF ALGORITHMS SEMESTER II: Time Allowed 2 Hours

NATIONAL UNIVERSITY OF SINGAPORE CS3230 DESIGN AND ANALYSIS OF ALGORITHMS SEMESTER II: Time Allowed 2 Hours NATIONAL UNIVERSITY OF SINGAPORE CS3230 DESIGN AND ANALYSIS OF ALGORITHMS SEMESTER II: 2017 2018 Time Allowed 2 Hours INSTRUCTIONS TO STUDENTS 1. This assessment consists of Eight (8) questions and comprises

More information

CS684 Graph Algorithms

CS684 Graph Algorithms CS684 Graph Algorithms Administration and Mathematical Background Instructor: Fei Li lifei@cs.gmu.edu with subject: CS684 Office hours: Engineering Building, Room 5326, Monday 5:00pm - 7:00pm or by appointments

More information

Decision Mathematics D1

Decision Mathematics D1 Pearson Edexcel International Advanced Level Decision Mathematics D1 Advanced/Advanced Subsidiary Friday 17 June 016 Afternoon Time: 1 hour 30 minutes Paper Reference WDM01/01 You must have: D1 Answer

More information

Practice Second Midterm Exam I

Practice Second Midterm Exam I CS103 Handout 33 Fall 2018 November 2, 2018 Practice Second Midterm Exam I This exam is closed-book and closed-computer. You may have a double-sided, 8.5 11 sheet of notes with you when you take this exam.

More information

Language-Processing Problems. Roland Backhouse DIMACS, 8th July, 2003

Language-Processing Problems. Roland Backhouse DIMACS, 8th July, 2003 1 Language-Processing Problems Roland Backhouse DIMACS, 8th July, 2003 Introduction 2 Factors and the factor matrix were introduced by Conway (1971). He used them very effectively in, for example, constructing

More information

Introduction to Kleene Algebras

Introduction to Kleene Algebras Introduction to Kleene Algebras Riccardo Pucella Basic Notions Seminar December 1, 2005 Introduction to Kleene Algebras p.1 Idempotent Semirings An idempotent semiring is a structure S = (S, +,, 1, 0)

More information

Solving fixed-point equations over semirings

Solving fixed-point equations over semirings Solving fixed-point equations over semirings Javier Esparza Technische Universität München Joint work with Michael Luttenberger and Maximilian Schlund Fixed-point equations We study systems of equations

More information

Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science Algorithms For Inference Fall 2014

Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science Algorithms For Inference Fall 2014 Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.438 Algorithms For Inference Fall 2014 Problem Set 3 Issued: Thursday, September 25, 2014 Due: Thursday,

More information

Exam in Discrete Mathematics

Exam in Discrete Mathematics Exam in Discrete Mathematics First Year at The TEK-NAT Faculty June 10th, 2016, 9.00-13.00 This exam consists of 11 numbered pages with 16 problems. All the problems are multiple choice problems. The answers

More information

Reexam in Discrete Mathematics

Reexam in Discrete Mathematics Reexam in Discrete Mathematics First Year at the Faculty of Engineering and Science and the Technical Faculty of IT and Design August 15th, 2017, 9.00-13.00 This exam consists of 11 numbered pages with

More information

Decision Mathematics D1 Advanced/Advanced Subsidiary. Tuesday 13 January 2009 Morning Time: 1 hour 30 minutes

Decision Mathematics D1 Advanced/Advanced Subsidiary. Tuesday 13 January 2009 Morning Time: 1 hour 30 minutes Paper Reference(s) 6689/01 Edexcel GCE Decision Mathematics D1 Advanced/Advanced Subsidiary Tuesday 13 January 2009 Morning Time: 1 hour 30 minutes Materials required for examination Nil Items included

More information

FINAL EXAM PRACTICE PROBLEMS CMSC 451 (Spring 2016)

FINAL EXAM PRACTICE PROBLEMS CMSC 451 (Spring 2016) FINAL EXAM PRACTICE PROBLEMS CMSC 451 (Spring 2016) The final exam will be on Thursday, May 12, from 8:00 10:00 am, at our regular class location (CSI 2117). It will be closed-book and closed-notes, except

More information

CS781 Lecture 3 January 27, 2011

CS781 Lecture 3 January 27, 2011 CS781 Lecture 3 January 7, 011 Greedy Algorithms Topics: Interval Scheduling and Partitioning Dijkstra s Shortest Path Algorithm Minimum Spanning Trees Single-Link k-clustering Interval Scheduling Interval

More information

Overview. 1 Lecture 1: Introduction. 2 Lecture 2: Message Sequence Charts. Joost-Pieter Katoen Theoretical Foundations of the UML 1/32

Overview. 1 Lecture 1: Introduction. 2 Lecture 2: Message Sequence Charts. Joost-Pieter Katoen Theoretical Foundations of the UML 1/32 Overview 1 Lecture 1: Introduction 2 Lecture 2: Message Sequence Charts Joost-Pieter Katoen Theoretical Foundations of the UML 1/32 Theoretical Foundations of the UML Lecture 1: Introduction Joost-Pieter

More information

Languages. Languages. An Example Grammar. Grammars. Suppose we have an alphabet V. Then we can write:

Languages. Languages. An Example Grammar. Grammars. Suppose we have an alphabet V. Then we can write: Languages A language is a set (usually infinite) of strings, also known as sentences Each string consists of a sequence of symbols taken from some alphabet An alphabet, V, is a finite set of symbols, e.g.

More information

UNIVERSITY OF YORK. MSc Examinations 2004 MATHEMATICS Networks. Time Allowed: 3 hours.

UNIVERSITY OF YORK. MSc Examinations 2004 MATHEMATICS Networks. Time Allowed: 3 hours. UNIVERSITY OF YORK MSc Examinations 2004 MATHEMATICS Networks Time Allowed: 3 hours. Answer 4 questions. Standard calculators will be provided but should be unnecessary. 1 Turn over 2 continued on next

More information

Binary Relations Part Two

Binary Relations Part Two Binary Relations Part Two Outline for Today Recap from Last Time Where are we, again? A Fundamental Theorem What do equivalence relations do? Strict Orders Representing prerequisites. Hasse Diagrams Drawing

More information

Chapter 9: Relations Relations

Chapter 9: Relations Relations Chapter 9: Relations 9.1 - Relations Definition 1 (Relation). Let A and B be sets. A binary relation from A to B is a subset R A B, i.e., R is a set of ordered pairs where the first element from each pair

More information

Problem set 1. (c) Is the Ford-Fulkerson algorithm guaranteed to produce an acyclic maximum flow?

Problem set 1. (c) Is the Ford-Fulkerson algorithm guaranteed to produce an acyclic maximum flow? CS261, Winter 2017. Instructor: Ashish Goel. Problem set 1 Electronic submission to Gradescope due 11:59pm Thursday 2/2. Form a group of 2-3 students that is, submit one homework with all of your names.

More information

Discrete Structures, Final Exam

Discrete Structures, Final Exam Discrete Structures, Final Exam Monday, May 11, 2009 SOLUTIONS 1. (40 pts) Short answer. Put your answer in the box. No partial credit. [ ] 0 1 (a) If A = and B = 1 0 [ ] 0 0 1. 0 1 1 [ 0 1 1 0 0 1 ],

More information

Relations. We have seen several types of abstract, mathematical objects, including propositions, predicates, sets, and ordered pairs and tuples.

Relations. We have seen several types of abstract, mathematical objects, including propositions, predicates, sets, and ordered pairs and tuples. Relations We have seen several types of abstract, mathematical objects, including propositions, predicates, sets, and ordered pairs and tuples. Relations use ordered tuples to represent relationships among

More information

(c) Give a proof of or a counterexample to the following statement: (3n 2)= n(3n 1) 2

(c) Give a proof of or a counterexample to the following statement: (3n 2)= n(3n 1) 2 Question 1 (a) Suppose A is the set of distinct letters in the word elephant, B is the set of distinct letters in the word sycophant, C is the set of distinct letters in the word fantastic, and D is the

More information

CMPS 6610 Fall 2018 Shortest Paths Carola Wenk

CMPS 6610 Fall 2018 Shortest Paths Carola Wenk CMPS 6610 Fall 018 Shortest Paths Carola Wenk Slides courtesy of Charles Leiserson with changes and additions by Carola Wenk Paths in graphs Consider a digraph G = (V, E) with an edge-weight function w

More information

Discrete Optimization 2010 Lecture 3 Maximum Flows

Discrete Optimization 2010 Lecture 3 Maximum Flows Remainder: Shortest Paths Maximum Flows Discrete Optimization 2010 Lecture 3 Maximum Flows Marc Uetz University of Twente m.uetz@utwente.nl Lecture 3: sheet 1 / 29 Marc Uetz Discrete Optimization Outline

More information

Worksheet on Relations

Worksheet on Relations Worksheet on Relations Recall the properties that relations can have: Definition. Let R be a relation on the set A. R is reflexive if for all a A we have ara. R is irreflexive or antireflexive if for all

More information

Relations, Functions, and Sequences

Relations, Functions, and Sequences MCS-236: Graph Theory Handout #A3 San Skulrattanakulchai Gustavus Adolphus College Sep 13, 2010 Relations, Functions, and Sequences Relations An ordered pair can be constructed from any two mathematical

More information

STUDY GUIDE FOR THE WRECKONING. 1. Combinatorics. (1) How many (positive integer) divisors does 2940 have? What about 3150?

STUDY GUIDE FOR THE WRECKONING. 1. Combinatorics. (1) How many (positive integer) divisors does 2940 have? What about 3150? STUDY GUIDE FOR THE WRECKONING. Combinatorics Go over combinatorics examples in the text. Review all the combinatorics problems from homework. Do at least a couple of extra problems given below. () How

More information

MAS210 Graph Theory Exercises 5 Solutions (1) v 5 (1)

MAS210 Graph Theory Exercises 5 Solutions (1) v 5 (1) MAS210 Graph Theor Exercises 5 Solutions Q1 Consider the following directed network N. x 3 (3) v 1 2 (2) v 2 5 (2) 2(2) 1 (0) 3 (0) 2 (0) 3 (0) 3 2 (2) 2(0) v v 5 1 v 6 The numbers in brackets define an

More information

COMP 182 Algorithmic Thinking. Relations. Luay Nakhleh Computer Science Rice University

COMP 182 Algorithmic Thinking. Relations. Luay Nakhleh Computer Science Rice University COMP 182 Algorithmic Thinking Relations Luay Nakhleh Computer Science Rice University Chapter 9, Section 1-6 Reading Material When we defined the Sorting Problem, we stated that to sort the list, the elements

More information

Decision Mathematics D1 Advanced/Advanced Subsidiary. Friday 17 May 2013 Morning Time: 1 hour 30 minutes

Decision Mathematics D1 Advanced/Advanced Subsidiary. Friday 17 May 2013 Morning Time: 1 hour 30 minutes Paper Reference(s) 6689/01 Edexcel GCE Decision Mathematics D1 Advanced/Advanced Subsidiary Friday 17 May 2013 Morning Time: 1 hour 30 minutes Materials required for examination Nil Items included with

More information

Massachusetts Institute of Technology 6.042J/18.062J, Fall 02: Mathematics for Computer Science Professor Albert Meyer and Dr.

Massachusetts Institute of Technology 6.042J/18.062J, Fall 02: Mathematics for Computer Science Professor Albert Meyer and Dr. Massachusetts Institute of Technology 6.042J/18.062J, Fall 02: Mathematics for Computer Science Professor Albert Meyer and Dr. Radhika Nagpal Quiz 1 Appendix Appendix Contents 1 Induction 2 2 Relations

More information

Combinatorial Optimization

Combinatorial Optimization Combinatorial Optimization Problem set 8: solutions 1. Fix constants a R and b > 1. For n N, let f(n) = n a and g(n) = b n. Prove that f(n) = o ( g(n) ). Solution. First we observe that g(n) 0 for all

More information

(P ) Minimize 4x 1 + 6x 2 + 5x 3 s.t. 2x 1 3x 3 3 3x 2 2x 3 6

(P ) Minimize 4x 1 + 6x 2 + 5x 3 s.t. 2x 1 3x 3 3 3x 2 2x 3 6 The exam is three hours long and consists of 4 exercises. The exam is graded on a scale 0-25 points, and the points assigned to each question are indicated in parenthesis within the text. Problem 1 Consider

More information

Section Summary. Relations and Functions Properties of Relations. Combining Relations

Section Summary. Relations and Functions Properties of Relations. Combining Relations Chapter 9 Chapter Summary Relations and Their Properties n-ary Relations and Their Applications (not currently included in overheads) Representing Relations Closures of Relations (not currently included

More information

Relation of Pure Minimum Cost Flow Model to Linear Programming

Relation of Pure Minimum Cost Flow Model to Linear Programming Appendix A Page 1 Relation of Pure Minimum Cost Flow Model to Linear Programming The Network Model The network pure minimum cost flow model has m nodes. The external flows given by the vector b with m

More information

CHAPTER THREE: RELATIONS AND FUNCTIONS

CHAPTER THREE: RELATIONS AND FUNCTIONS CHAPTER THREE: RELATIONS AND FUNCTIONS 1 Relations Intuitively, a relation is the sort of thing that either does or does not hold between certain things, e.g. the love relation holds between Kim and Sandy

More information

Algorithms and Data Structures (COMP 251) Midterm Solutions

Algorithms and Data Structures (COMP 251) Midterm Solutions Algorithms and Data Structures COMP 251) Midterm Solutions March 11, 2012 1. Stable Matching Problem a) Describe the input for the stable matching problem. Input: n men and n women. For each man, there

More information

Lecture 7: Shortest Paths in Graphs with Negative Arc Lengths. Reading: AM&O Chapter 5

Lecture 7: Shortest Paths in Graphs with Negative Arc Lengths. Reading: AM&O Chapter 5 Lecture 7: Shortest Paths in Graphs with Negative Arc Lengths Reading: AM&O Chapter Label Correcting Methods Assume the network G is allowed to have negative arc lengths but no directed negativelyweighted

More information

Shortest paths: label setting

Shortest paths: label setting : label setting CE 377K February 19, 2015 REVIEW HW 2 posted, due in 2 weeks Review Basic search algorithm Prim s algorithm Review Algorithm (Assumes that the network is connected.) 1 Arbitrarily choose

More information

Maximum Flow Problem (Ford and Fulkerson, 1956)

Maximum Flow Problem (Ford and Fulkerson, 1956) Maximum Flow Problem (Ford and Fulkerson, 196) In this problem we find the maximum flow possible in a directed connected network with arc capacities. There is unlimited quantity available in the given

More information

directed weighted graphs as flow networks the Ford-Fulkerson algorithm termination and running time

directed weighted graphs as flow networks the Ford-Fulkerson algorithm termination and running time Network Flow 1 The Maximum-Flow Problem directed weighted graphs as flow networks the Ford-Fulkerson algorithm termination and running time 2 Maximum Flows and Minimum Cuts flows and cuts max flow equals

More information

Discrete Mathematics (CS503)

Discrete Mathematics (CS503) Discrete Mathematics (CS503) Module I Suggested Questions Day 1, 2 1. Translate the following statement into propositional logic using the propositions provided: You can upgrade your operating system only

More information

ACM-ICPC South Western European Regional SWERC 2008

ACM-ICPC South Western European Regional SWERC 2008 ACM-ICPC South Western European Regional SWERC 2008 FAU Contest Team icpc@i2.informatik.uni-erlangen.de Friedrich-Alexander Universität Erlangen-Nürnberg November, 23 2008 FAU Contest Team ACM-ICPC South

More information

25. Minimum Spanning Trees

25. Minimum Spanning Trees 695 25. Minimum Spanning Trees Motivation, Greedy, Algorithm Kruskal, General Rules, ADT Union-Find, Algorithm Jarnik, Prim, Dijkstra, Fibonacci Heaps [Ottman/Widmayer, Kap. 9.6, 6.2, 6.1, Cormen et al,

More information

25. Minimum Spanning Trees

25. Minimum Spanning Trees Problem Given: Undirected, weighted, connected graph G = (V, E, c). 5. Minimum Spanning Trees Motivation, Greedy, Algorithm Kruskal, General Rules, ADT Union-Find, Algorithm Jarnik, Prim, Dijkstra, Fibonacci

More information

UNIVERSITY OF PUNE, PUNE BOARD OF STUDIES IN MATHEMATICS SYLLABUS. F.Y.BSc (Computer Science) Paper-I Discrete Mathematics First Term

UNIVERSITY OF PUNE, PUNE BOARD OF STUDIES IN MATHEMATICS SYLLABUS. F.Y.BSc (Computer Science) Paper-I Discrete Mathematics First Term UNIVERSITY OF PUNE, PUNE 411007. BOARD OF STUDIES IN MATHEMATICS SYLLABUS F.Y.BSc (Computer Science) Paper-I Discrete Mathematics First Term 1) Finite Induction (4 lectures) 1.1) First principle of induction.

More information

Algorithm Design Strategies V

Algorithm Design Strategies V Algorithm Design Strategies V Joaquim Madeira Version 0.0 October 2016 U. Aveiro, October 2016 1 Overview The 0-1 Knapsack Problem Revisited The Fractional Knapsack Problem Greedy Algorithms Example Coin

More information

Reading 11 : Relations and Functions

Reading 11 : Relations and Functions CS/Math 240: Introduction to Discrete Mathematics Fall 2015 Reading 11 : Relations and Functions Instructor: Beck Hasti and Gautam Prakriya In reading 3, we described a correspondence between predicates

More information

Course. INF421, Lecture 6 Trees. The minimal knowledge. Lecture summary

Course. INF421, Lecture 6 Trees. The minimal knowledge. Lecture summary Course INF42, Lecture 6 Trees Leo Liberti LIX, École Polytechnique, France Objective: to teach you some data structures and associated algorithms Evaluation: TP noté en salle info le 6 septembre, Contrôle

More information

LHS Algebra Pre-Test

LHS Algebra Pre-Test Your Name Teacher Block Grade (please circle): 9 10 11 12 Course level (please circle): Honors Level 1 Instructions LHS Algebra Pre-Test The purpose of this test is to see whether you know Algebra 1 well

More information

XMA2C011, Annual Examination 2012: Worked Solutions

XMA2C011, Annual Examination 2012: Worked Solutions XMA2C011, Annual Examination 2012: Worked Solutions David R. Wilkins 1. (a) Let A, B and C be sets. Prove that A (B \ C) = (A B) \ (A C). We show that every element of A (B \ C) is an element of (A B)

More information

Contents Lecture 4. Greedy graph algorithms Dijkstra s algorithm Prim s algorithm Kruskal s algorithm Union-find data structure with path compression

Contents Lecture 4. Greedy graph algorithms Dijkstra s algorithm Prim s algorithm Kruskal s algorithm Union-find data structure with path compression Contents Lecture 4 Greedy graph algorithms Dijkstra s algorithm Prim s algorithm Kruskal s algorithm Union-find data structure with path compression Jonas Skeppstedt (jonasskeppstedt.net) Lecture 4 2018

More information

CS375 Midterm Exam Solution Set (Fall 2017)

CS375 Midterm Exam Solution Set (Fall 2017) CS375 Midterm Exam Solution Set (Fall 2017) Closed book & closed notes October 17, 2017 Name sample 1. (10 points) (a) Put in the following blank the number of strings of length 5 over A={a, b, c} that

More information

Greedy Algorithms My T. UF

Greedy Algorithms My T. UF Introduction to Algorithms Greedy Algorithms @ UF Overview A greedy algorithm always makes the choice that looks best at the moment Make a locally optimal choice in hope of getting a globally optimal solution

More information

MTH 132 Exam 2 November 21st, Without fully opening the exam, check that you have pages 1 through 11.

MTH 132 Exam 2 November 21st, Without fully opening the exam, check that you have pages 1 through 11. Name: Section: Recitation/Instructor: INSTRUCTIONS Fill in your name, etc. on this first page. Without fully opening the exam, check that you have pages 1 through 11. Show all your work on the standard

More information

Lecture 4.3: Closures and Equivalence Relations

Lecture 4.3: Closures and Equivalence Relations Lecture 4.3: Closures and CS 250, Discrete Structures, Fall 2015 Nitesh Saxena Adopted from previous lectures by Cinda Heeren Course Admin Mid-Term 2 Exam Solution will be posted soon Should have the results

More information

PLC Papers Created For:

PLC Papers Created For: PLC Papers Created For: Quadratics intervention Deduce quadratic roots algebraically 1 Grade 6 Objective: Deduce roots algebraically. Question 1. Factorise and solve the equation x 2 8x + 15 = 0 Question

More information

Even More on Dynamic Programming

Even More on Dynamic Programming Algorithms & Models of Computation CS/ECE 374, Fall 2017 Even More on Dynamic Programming Lecture 15 Thursday, October 19, 2017 Sariel Har-Peled (UIUC) CS374 1 Fall 2017 1 / 26 Part I Longest Common Subsequence

More information

Undirected Graphs. V = { 1, 2, 3, 4, 5, 6, 7, 8 } E = { 1-2, 1-3, 2-3, 2-4, 2-5, 3-5, 3-7, 3-8, 4-5, 5-6 } n = 8 m = 11

Undirected Graphs. V = { 1, 2, 3, 4, 5, 6, 7, 8 } E = { 1-2, 1-3, 2-3, 2-4, 2-5, 3-5, 3-7, 3-8, 4-5, 5-6 } n = 8 m = 11 Undirected Graphs Undirected graph. G = (V, E) V = nodes. E = edges between pairs of nodes. Captures pairwise relationship between objects. Graph size parameters: n = V, m = E. V = {, 2, 3,,,, 7, 8 } E

More information

MATH 363: Discrete Mathematics

MATH 363: Discrete Mathematics MATH 363: Discrete Mathematics Learning Objectives by topic The levels of learning for this class are classified as follows. 1. Basic Knowledge: To recall and memorize - Assess by direct questions. The

More information

Functional Analysis Exercise Class

Functional Analysis Exercise Class Functional Analysis Exercise Class Wee November 30 Dec 4: Deadline to hand in the homewor: your exercise class on wee December 7 11 Exercises with solutions Recall that every normed space X can be isometrically

More information

p 3 p 2 p 4 q 2 q 7 q 1 q 3 q 6 q 5

p 3 p 2 p 4 q 2 q 7 q 1 q 3 q 6 q 5 Discrete Fréchet distance Consider Professor Bille going for a walk with his personal dog. The professor follows a path of points p 1,..., p n and the dog follows a path of points q 1,..., q m. We assume

More information

Outline Inverse of a Relation Properties of Relations. Relations. Alice E. Fischer. April, 2018

Outline Inverse of a Relation Properties of Relations. Relations. Alice E. Fischer. April, 2018 Relations Alice E. Fischer April, 2018 1 Inverse of a Relation 2 Properties of Relations The Inverse of a Relation Let R be a relation from A to B. Define the inverse relation, R 1 from B to A as follows.

More information

Exam 2. Is g one-to-one? Is g onto? Why? Solution: g is not one-to-one, since for c A, g(b) = g(c) = c. g is not onto, since a / g(a).

Exam 2. Is g one-to-one? Is g onto? Why? Solution: g is not one-to-one, since for c A, g(b) = g(c) = c. g is not onto, since a / g(a). Discrete Structures: Exam 2 Solutions to Sample Questions, 1. Let A = B = {a, b, c}. Consider the relation g = {(a, b), (b, c), (c, c)}. Is g one-to-one? Is g onto? Why? Solution: g is not one-to-one,

More information

ACO Comprehensive Exam March 20 and 21, Computability, Complexity and Algorithms

ACO Comprehensive Exam March 20 and 21, Computability, Complexity and Algorithms 1. Computability, Complexity and Algorithms Part a: You are given a graph G = (V,E) with edge weights w(e) > 0 for e E. You are also given a minimum cost spanning tree (MST) T. For one particular edge

More information

Relations Graphical View

Relations Graphical View Introduction Relations Computer Science & Engineering 235: Discrete Mathematics Christopher M. Bourke cbourke@cse.unl.edu Recall that a relation between elements of two sets is a subset of their Cartesian

More information

CSE 311: Foundations of Computing I Autumn 2014 Practice Final: Section X. Closed book, closed notes, no cell phones, no calculators.

CSE 311: Foundations of Computing I Autumn 2014 Practice Final: Section X. Closed book, closed notes, no cell phones, no calculators. CSE 311: Foundations of Computing I Autumn 014 Practice Final: Section X YY ZZ Name: UW ID: Instructions: Closed book, closed notes, no cell phones, no calculators. You have 110 minutes to complete the

More information

MTH 132 Solutions to Exam 2 November 21st, Without fully opening the exam, check that you have pages 1 through 11.

MTH 132 Solutions to Exam 2 November 21st, Without fully opening the exam, check that you have pages 1 through 11. Name: Section: Recitation/Instructor: INSTRUCTIONS Fill in your name, etc. on this first page. Without fully opening the exam, check that you have pages through. Show all your work on the standard response

More information

Greedy. Outline CS141. Stefano Lonardi, UCR 1. Activity selection Fractional knapsack Huffman encoding Later:

Greedy. Outline CS141. Stefano Lonardi, UCR 1. Activity selection Fractional knapsack Huffman encoding Later: October 5, 017 Greedy Chapters 5 of Dasgupta et al. 1 Activity selection Fractional knapsack Huffman encoding Later: Outline Dijkstra (single source shortest path) Prim and Kruskal (minimum spanning tree)

More information

PLC Papers Created For:

PLC Papers Created For: PLC Papers Created For: Daniel Inequalities Inequalities on number lines 1 Grade 4 Objective: Represent the solution of a linear inequality on a number line. Question 1 Draw diagrams to represent these

More information

Decision Mathematics D1

Decision Mathematics D1 Pearson Edexcel GCE Decision Mathematics D1 Advanced/Advanced Subsidiary Friday 17 June 2016 Afternoon Time: 1 hour 30 minutes Paper Reference 6689/01 You must have: D1 Answer Book Candidates may use any

More information

CS250, Fall 2010, Midterm 2, Tuesday November 9, 8am.

CS250, Fall 2010, Midterm 2, Tuesday November 9, 8am. CS250, Fall 2010, Midterm 2, Tuesday November 9, 8am. This is an individual, closed-book (and notes, cell phone,...) exam. You have 75 minutes. Write CS250 in the Subject and #1 in the Test No. fields

More information

IS 2610: Data Structures

IS 2610: Data Structures IS 2610: Data Structures Graph April 12, 2004 Graph Weighted graph call it networks Shortest path between nodes s and t in a network Directed simple path from s to t with the property that no other such

More information

Question Paper Code :

Question Paper Code : www.vidyarthiplus.com Reg. No. : B.E./B.Tech. DEGREE EXAMINATION, NOVEMBER/DECEMBER 2011. Time : Three hours Fourth Semester Computer Science and Engineering CS 2251 DESIGN AND ANALYSIS OF ALGORITHMS (Regulation

More information

Relations. Relations of Sets N-ary Relations Relational Databases Binary Relation Properties Equivalence Relations. Reading (Epp s textbook)

Relations. Relations of Sets N-ary Relations Relational Databases Binary Relation Properties Equivalence Relations. Reading (Epp s textbook) Relations Relations of Sets N-ary Relations Relational Databases Binary Relation Properties Equivalence Relations Reading (Epp s textbook) 8.-8.3. Cartesian Products The symbol (a, b) denotes the ordered

More information

MA 524 Final Fall 2015 Solutions

MA 524 Final Fall 2015 Solutions MA 54 Final Fall 05 Solutions Name: Question Points Score 0 0 3 5 4 0 5 5 6 5 7 0 8 5 Total: 60 MA 54 Solutions Final, Page of 8. Let L be a finite lattice. (a) (5 points) Show that p ( (p r)) (p ) (p

More information