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by Margaret L. Lial, Raymond N. Greenwell and Nathan P. Ritchey

Edition: 7TH 02Copyright: 2002

Publisher: Addison-Wesley Longman, Inc.

Published: 2002

International: No

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**Lial, Margaret L. : American River College**

Ritchey, Nathan P. : Youngstown State University

Greenwell, Raymond N. : Hofstra University

R. Algebra Reference.

R.1 Polynomials.

R.2 Factoring.

R.3 Rational Expressions.

R.4 Equations.

R.5 Inequalities.

R.6 Exponents.

R.7 Radicals.

1. Linear Functions.

1.1 Slopes and Equations of Lines.

1.2 Linear Functions and Applications.

1.3 The Least Squares Line.

2. Systems of Linear Equations and Matrices.

2.1 Solution of Linear Systems by the Echelon Method.

2.2 Solution of Linear Systems by the Gauss-Jordan Method.

2.3 Addition and Subtraction of Matrices.

2.4 Multiplication of Matrices.

2.5 Matrix Inverses.

2.6 Input-Output Models.

3. Linear Programming: The Graphical Method.

3.1 Graphing Linear Inequalities.

3.2 Solving Linear Programming Problems Graphically.

3.3 Applications of Linear Programming.

4. Linear Programming: The Simplex Method.

4.1 Slack Variables and the Pivot.

4.2 Maximization Problems.

4.3 Minimization Problems; Duality.

4.4 Nonstandard Problems.

5. Mathematics of Finance.

5.1 Simple and Compound Interest.

5.2 Future Value of an Annuity.

5.3 Present Value of an Annuity; Amortization.

6. Logic.

6.1 Statements and Quantifiers.

6.2 Truth Tables and Equivalent Statements.

6.3 The Conditional and Circuits.

6.4 More on the Conditional.

6.5 Analyzing Arguments with Euler Diagrams.

6.6 Analyzing Arguments with Truth Tables.

7. Sets and Probability.

7.1 Sets.

7.2 Applications of Venn Diagrams.

7.3 Introduction to Probability.

7.4 Basic Concepts of Probability.

7.5 Conditional Probability; Independent Events.

7.6 Bayes' Theorem.

8. Counting Principles; Further Probability Topics.

8.1 The Multiplication Principle; Permutations.

8.2 Combinations.

8.3 Probability Applications of Counting Principles.

8.4 Binomial Probability.

8.5 Probability Distributions; Expected Value.

9. Statistics.

9.1 Frequency Distributions; Measures of Central Tendency.

9.2 Measures of Variation.

9.3 The Normal Distribution.

9.4 Normal Approximation to the Binomial Distribution.

10. Markov Chains.

10.1 Basic Principles of Markov Chains.

10.2 Regular Markov Chains.

10.3 Absorbing Markov Chains.

11. Game Theory.

11.1 Strictly Determined Games.

11.2 Mixed Strategies.

11.3 Game Theory and Linear Programming.

Tables.

Table 1: Area Under a Normal Curve.

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Author Bio

**Lial, Margaret L. : American River College**

Ritchey, Nathan P. : Youngstown State University

Greenwell, Raymond N. : Hofstra University

Table of Contents

R. Algebra Reference.

R.1 Polynomials.

R.2 Factoring.

R.3 Rational Expressions.

R.4 Equations.

R.5 Inequalities.

R.6 Exponents.

R.7 Radicals.

1. Linear Functions.

1.1 Slopes and Equations of Lines.

1.2 Linear Functions and Applications.

1.3 The Least Squares Line.

2. Systems of Linear Equations and Matrices.

2.1 Solution of Linear Systems by the Echelon Method.

2.2 Solution of Linear Systems by the Gauss-Jordan Method.

2.3 Addition and Subtraction of Matrices.

2.4 Multiplication of Matrices.

2.5 Matrix Inverses.

2.6 Input-Output Models.

3. Linear Programming: The Graphical Method.

3.1 Graphing Linear Inequalities.

3.2 Solving Linear Programming Problems Graphically.

3.3 Applications of Linear Programming.

4. Linear Programming: The Simplex Method.

4.1 Slack Variables and the Pivot.

4.2 Maximization Problems.

4.3 Minimization Problems; Duality.

4.4 Nonstandard Problems.

5. Mathematics of Finance.

5.1 Simple and Compound Interest.

5.2 Future Value of an Annuity.

5.3 Present Value of an Annuity; Amortization.

6. Logic.

6.1 Statements and Quantifiers.

6.2 Truth Tables and Equivalent Statements.

6.3 The Conditional and Circuits.

6.4 More on the Conditional.

6.5 Analyzing Arguments with Euler Diagrams.

6.6 Analyzing Arguments with Truth Tables.

7. Sets and Probability.

7.1 Sets.

7.2 Applications of Venn Diagrams.

7.3 Introduction to Probability.

7.4 Basic Concepts of Probability.

7.5 Conditional Probability; Independent Events.

7.6 Bayes' Theorem.

8. Counting Principles; Further Probability Topics.

8.1 The Multiplication Principle; Permutations.

8.2 Combinations.

8.3 Probability Applications of Counting Principles.

8.4 Binomial Probability.

8.5 Probability Distributions; Expected Value.

9. Statistics.

9.1 Frequency Distributions; Measures of Central Tendency.

9.2 Measures of Variation.

9.3 The Normal Distribution.

9.4 Normal Approximation to the Binomial Distribution.

10. Markov Chains.

10.1 Basic Principles of Markov Chains.

10.2 Regular Markov Chains.

10.3 Absorbing Markov Chains.

11. Game Theory.

11.1 Strictly Determined Games.

11.2 Mixed Strategies.

11.3 Game Theory and Linear Programming.

Tables.

Table 1: Area Under a Normal Curve.

Publisher Info

Publisher: Addison-Wesley Longman, Inc.

Published: 2002

International: No

Published: 2002

International: No

**Lial, Margaret L. : American River College**

Ritchey, Nathan P. : Youngstown State University

Greenwell, Raymond N. : Hofstra University

R. Algebra Reference.

R.1 Polynomials.

R.2 Factoring.

R.3 Rational Expressions.

R.4 Equations.

R.5 Inequalities.

R.6 Exponents.

R.7 Radicals.

1. Linear Functions.

1.1 Slopes and Equations of Lines.

1.2 Linear Functions and Applications.

1.3 The Least Squares Line.

2. Systems of Linear Equations and Matrices.

2.1 Solution of Linear Systems by the Echelon Method.

2.2 Solution of Linear Systems by the Gauss-Jordan Method.

2.3 Addition and Subtraction of Matrices.

2.4 Multiplication of Matrices.

2.5 Matrix Inverses.

2.6 Input-Output Models.

3. Linear Programming: The Graphical Method.

3.1 Graphing Linear Inequalities.

3.2 Solving Linear Programming Problems Graphically.

3.3 Applications of Linear Programming.

4. Linear Programming: The Simplex Method.

4.1 Slack Variables and the Pivot.

4.2 Maximization Problems.

4.3 Minimization Problems; Duality.

4.4 Nonstandard Problems.

5. Mathematics of Finance.

5.1 Simple and Compound Interest.

5.2 Future Value of an Annuity.

5.3 Present Value of an Annuity; Amortization.

6. Logic.

6.1 Statements and Quantifiers.

6.2 Truth Tables and Equivalent Statements.

6.3 The Conditional and Circuits.

6.4 More on the Conditional.

6.5 Analyzing Arguments with Euler Diagrams.

6.6 Analyzing Arguments with Truth Tables.

7. Sets and Probability.

7.1 Sets.

7.2 Applications of Venn Diagrams.

7.3 Introduction to Probability.

7.4 Basic Concepts of Probability.

7.5 Conditional Probability; Independent Events.

7.6 Bayes' Theorem.

8. Counting Principles; Further Probability Topics.

8.1 The Multiplication Principle; Permutations.

8.2 Combinations.

8.3 Probability Applications of Counting Principles.

8.4 Binomial Probability.

8.5 Probability Distributions; Expected Value.

9. Statistics.

9.1 Frequency Distributions; Measures of Central Tendency.

9.2 Measures of Variation.

9.3 The Normal Distribution.

9.4 Normal Approximation to the Binomial Distribution.

10. Markov Chains.

10.1 Basic Principles of Markov Chains.

10.2 Regular Markov Chains.

10.3 Absorbing Markov Chains.

11. Game Theory.

11.1 Strictly Determined Games.

11.2 Mixed Strategies.

11.3 Game Theory and Linear Programming.

Tables.

Table 1: Area Under a Normal Curve.