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| Normal 0 false false false? | |
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| Preface | |
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| Index of Applications | |
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| Linear Equations and Straight Lines | |
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| Coordinate Systems and Graphs | |
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| Linear Inequalities | |
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| The Intersection Point of a Pair of Lines | |
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| The Slope of a Straight Line | |
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| The Method of Least Squares | |
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| Break-even Analysis | |
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| Matrices | |
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| Solving Systems of Linear Equations, I | |
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| Solving Systems of Linear Equations, II | |
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| Arithmetic Operations on Matrices | |
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| The Inverse of a Matrix | |
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| The Gauss-Jordan Method for Calculating Inverses | |
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| Input-Output Analysis | |
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| Population Dynamics | |
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| Linear Programming, A Geometric Approach | |
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| A Linear Programming Problem | |
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| Linear Programming, I | |
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| Linear Programming, II | |
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| Shadow Prices | |
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| The Simplex Method | |
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| Slack Variables and the Simplex Tableau | |
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| The Simplex Method, I: Maximum Problems | |
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| The Simplex Method, II: Minimum Problems | |
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| Sensitivity Analysis and Matrix Formulations of Linear Programming Problems | |
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| Duality | |
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| Shadow Prices | |
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| Sets and Counting | |
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| Sets | |
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| A Fundamental Principle of Counting | |
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| Venn Diagrams and Counting | |
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| The Multiplication Principle | |
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| Permutations and Combinations | |
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| Further Counting Problems | |
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| The Binomial Theorem | |
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| Multinomial Coefficients and Partitions | |
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| Pascal's Triangle | |
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| Probability | |
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| Introduction | |
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| Experiments, Outcomes, Samples and Events | |
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| Assignment of Probabilities | |
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| Calculating Probabilities of Events | |
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| Conditional Probability and Independence | |
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| Tree Diagrams | |
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| Bayes' Theorem | |
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| Simulation | |
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| Two Paradoxes | |
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| Probability and Statistics | |
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| Representation of Data | |
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| Frequency and Probability Distributions | |
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| Binomial Trials | |
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| The Mean | |
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| The Variance and Standard Deviation | |
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| The Normal Distribution | |
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| Normal Approximation to the Binomial Distribution | |
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| An Unexpected Expected Value | |
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| Markov Processes | |