1 Review of Basic Ideas 1

2 Systems of Linear Equations 13

3 Matrix Algebra: Introduction 27

4 Matrix Algebra: Applications 41

5 Functions 49

6 Optimization: Single Variable Calculus 57

7 Optimization: Applications 69

8 Optimization: Two or More Variables 85

9 Optimization: Lagrange Functions 101

10 Probability: Introduction 121

11 Probability: Discrete Distributions 131

12 Probability: Related Topics 143

13 Graphing for Linear Optimization 159

14 Series 181

본문/내용

Solutions Manual for Mathematics for Management Science: A Bridging Course
c D.M. Tulett

November 25, 2004

c November 25, 2004 D.M. Tulett

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Preface
This manual contains the solutions for the problems at the ends of the chapters in the textbook. This solutions manual should only be used as a last resort ? either you had no idea how to solve a problem, or you obtained a ?nal answer which does not agree with the one given in the textbook. In either case, you should have spent a considerable time thinking about and/or doing the problem before you look here. There may be errors in this manual, or there may be better ways of explaining the solution to a particular problem. Comments or suggestions should be sent to the author by email at dtulett@mun.ca

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c November 25, 2004 D.M. Tulett

Contents
1 2 3 4 5 6 7 8 9 Review of Basic Ideas Systems of Linear Equations Matrix Algebra: Introduction Matrix Algebra: Applications Functions Optimization: Single Variable Calculus …(생략)

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