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ISBN13: 978-0070293762

ISBN10: 0070293767

Edition: 2ND 95

Copyright: 1995

Publisher: McGraw-Hill Publishing Company

Published: 1995

International: No

ISBN10: 0070293767

Edition: 2ND 95

Copyright: 1995

Publisher: McGraw-Hill Publishing Company

Published: 1995

International: No

Applied Finite Mathematics is designed for use in a one-term course in finite mathematics primarily taken by students majoring in business,economics,technological sciences,and the life and social sciences. This new edition is an extensive revision based on numerous user and reviewer suggestions. However,it still retains the straightforward style,intuitive approach,and applications orientation of the previous edition. The flexible organization and rich selection of topics make the book easy to adapt to a wide variety of syllabi. The text is applications-oriented. Each new concept is applied to myriad practical situations. The techniques and strategies needed to solve applied problems are stressed. The applications are drawn from a number of disciplines and are identified for reference. A new full-color design makes the book more visually appealing and benefits students who think geometrically rather than linearly.

**CHAPTER 1: Preliminaries.**

The Real Numbers.

Exponents, Roots, and Radicals.

Polynomials, Factoring Polynomials, and Rational Expressions.

Chapter Summary and Review Problems.

**CHAPTER 2: Equations, Inequalities, and Functions.**

Linear Equations and Inequalities in One Variable.

Quadratic Equations in One Variable.

Cartesian Coordinates: Lines in the Plane.

Functions.

Chapter Summary and Review Problems.

**CHAPTER 3: Matrices and Systems of Linear Equations.**

Review: Linear Systems of Two Equations in Two Variables.

Systems of Linear Equations: Gaussian Elimination.

Matrices and Matrix Algebra.

Matrix Inversion.

The Leontief Input-Output Model and Other Matrix Applications.

Chapter Summary and Review Problems.

**CHAPTER 4: Linear Programming.**

Systems of Linear Inequalities in Two Variables.

Geometric Linear Programming.

The Simplex Algorithm: Preliminaries.

The Simplex Algorithm: Standard Maximum Case.

The Simplex Algorithm: Nonstandard Cases.

Laurence D. Hoffman and Gerald L. Bradley

ISBN13: 978-0070293762ISBN10: 0070293767

Edition: 2ND 95

Copyright: 1995

Publisher: McGraw-Hill Publishing Company

Published: 1995

International: No

Applied Finite Mathematics is designed for use in a one-term course in finite mathematics primarily taken by students majoring in business,economics,technological sciences,and the life and social sciences. This new edition is an extensive revision based on numerous user and reviewer suggestions. However,it still retains the straightforward style,intuitive approach,and applications orientation of the previous edition. The flexible organization and rich selection of topics make the book easy to adapt to a wide variety of syllabi. The text is applications-oriented. Each new concept is applied to myriad practical situations. The techniques and strategies needed to solve applied problems are stressed. The applications are drawn from a number of disciplines and are identified for reference. A new full-color design makes the book more visually appealing and benefits students who think geometrically rather than linearly.

Table of Contents

**CHAPTER 1: Preliminaries.**

The Real Numbers.

Exponents, Roots, and Radicals.

Polynomials, Factoring Polynomials, and Rational Expressions.

Chapter Summary and Review Problems.

**CHAPTER 2: Equations, Inequalities, and Functions.**

Linear Equations and Inequalities in One Variable.

Quadratic Equations in One Variable.

Cartesian Coordinates: Lines in the Plane.

Functions.

Chapter Summary and Review Problems.

**CHAPTER 3: Matrices and Systems of Linear Equations.**

Review: Linear Systems of Two Equations in Two Variables.

Systems of Linear Equations: Gaussian Elimination.

Matrices and Matrix Algebra.

Matrix Inversion.

The Leontief Input-Output Model and Other Matrix Applications.

Chapter Summary and Review Problems.

**CHAPTER 4: Linear Programming.**

Systems of Linear Inequalities in Two Variables.

Geometric Linear Programming.

The Simplex Algorithm: Preliminaries.

The Simplex Algorithm: Standard Maximum Case.

The Simplex Algorithm: Nonstandard Cases.