20% | Problem Sets | 20% | Project/Paper | 20% | Quizzes | 15% | Discussions | 5% | Sally’s grades are as follows: | Points possible | Sally's grade | Quiz 1 | 9 | 7 | Quiz 2 | 13 | 13 | Problem Set 1 | 75 | 68 | Quiz 3 | 12 | 11 | Quiz 4 | 8 | 8 | Problem set 2 | 88 | 85 | Midterm | 100 | 97 | Directions: ***Do not be tempted to “cheat” and do this by hand- the point of this exercise is to practice Excel*** 1. Copy and paste both tables into Excel. 2. Use the
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1. DIVISIBIUTY & PRIMES In Action Problems Solutions 11 21 23 2. ODDS & EVENS In Action Problems Solutions 27. 33 35 3. POSITIVES & NEGATIVES In Action Problems Solutions 37 43 45 4. CONSECUTIVE INTEGERS InAction Problems Solutions 47 5S 57 5. EXPONENTS In Action Problems Solutions 61 71 73 PART I: GENERAL TABLE OF CONTENTS 6. ROOTS IrfActiort,;Problems So1utioQS 75 83 85 7. PEMDAS In Action Problems .Solutions 87 91 93 8. STRATEGIES
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Informatics Centre Ministry of Communications and Information Technology Calcutta, India Keywords Abstract Spatial decision making is characterized by problems associated with multiple and conflicting alternatives relating to geographical features and their attributes. As such, the search for the best possible alternative from a large set of such alternatives can be a daunting task. The aim of integrating GIS with Multi-Criteria Decision Making (MCDM) is to develop a well-defined process that
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.1 Problem Description ..................................................................................................................................................1 Wireframe diagram ...................................................................................................................................................2 Pseudocode for button's click event .........................................................................................................................2 Flowchart
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. . . . . . Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 Counting Lists, Permutations, and Subsets. . . . . . . . . . . . . . . . . . . . . . Using the Sum and Product Principles . . . . . . . . . . . . . . . . . . . . . . . . Lists and functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . The Bijection Principle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . k-element permutations of a set . . . . . .
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com 1 UNIT - I Lesson 1 - Set theory and Set Operations Contents: 1.1 Aims and Objectives 1.2 Sets and elements 1.3 Further set concepts 1.4 Venn Diagrams 1.5 Operations on Sets 1.6 Set Intersection 1.7 Let – us Sum Up 1.8 Lesson – End Activities 1.9 References 1.1 Aims and Objectives This Lesson introduces some basic concepts in Set Theory, describing sets, elements, Venn diagrams and the union and intersection of sets. 1.2 Sets and elements Sets of objects, numbers, departments
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A Semester Course in Finite Mathematics for Business and Economics Marcel B. Finan c All Rights Reserved August 10, 2012 1 Contents Preface 4 Mathematics of Finance 1. Simple Interest . . . . . . . . . . . . . . . . . . . . . . . 2. Discrete and Continuous Compound Interest . . . . . . 3. Ordinay Annuity, Future Value and Sinking Fund . . . 4. Present Value of an Ordinay Annuity and Amortization . . . . Matrices and Systems of Linear Equations 5. Solving Linear Systems
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Week 3 homework Exercise 7.1, problem 10a The total number of pairs we can either include or not is 4^2-4=16. Any reflexive relation is a subset of this set of 12 elements; we know there are 2^12 such subsets. Problem 10b The number of decisions we can make for any symmetric relation is 4+ (16-4)/2=4+6=10. The number of possible symmetric relations is 210. Exercise 7.2, Problem 15a a) Draw the digraph G1 (V1, E1) where V1 {a, b, c, d, e, f } and E1 {(a, b), (a, d), (b, c), (b, e), (d, b)
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CPS 230 DESIGN AND ANALYSIS OF ALGORITHMS Fall 2008 Instructor: Herbert Edelsbrunner Teaching Assistant: Zhiqiang Gu CPS 230 Fall Semester of 2008 Table of Contents 1 I 2 3 4 5 Introduction D ESIGN T ECHNIQUES Divide-and-Conquer Prune-and-Search Dynamic Programming Greedy Algorithms First Homework Assignment S EARCHING 3 4 5 8 11 14 17 18 19 22 26 29 33 34 35 38 41 44 IV 13 14 15 16 G RAPH A LGORITHMS Graph Search Shortest Paths Minimum Spanning Trees Union-Find Fourth
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solution achieves an overhang asymptotic to 2 ln n. This solution is widely believed to be optimal. We show, however, that it is exponentially far from optimality by constructing simple n-block stacks that achieve an overhang of cn1/3 , for some constant c > 0. The problem of stacking a set of objects, such as bricks, books, or cards, on a tabletop to maximize the overhang is an attractive problem with a long history. J. G. Coffin [2] posed the problem in the “Problems and Solutions” section of this Monthly
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