'These authors have created a book to really help students visualize mathematics for better comprehension. By creating algebraic visual side-by-sides to solve various problems in the examples, the authors show students the relationship of the algebraic solution with the visual, often graphical, solution. In addition, the authors have added a variety of new tools to help students better use the book for maximum effectiveness to not only pass the course, but truly understand the material.'

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Judy Beecher has an undergraduate degree in mathematics from Indiana University and a graduate degree in mathematics from Purdue University. She has taught at both the high school and college levels with many years of developmental math and precalculus teaching experience at Indiana University - Purdue University Indianapolis. In addition to her career in textbook publishing, she spends time traveling, enjoying her grandchildren, and promoting charity projects for a children's camp.

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Judy Penna received her undergraduate degree in mathematics from Kansas State University and her graduate degree in mathematics from the University of Illinois. Since then, she has taught at Indiana University - Purdue University Indianapolis and at Butler University, and continues to focus on writing quality textbooks for undergraduate mathematics students. In her free time she likes to travel, read, knit and spend time with her children.

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Marvin Bittinger For over thirty-eight years, Professor Marvin L. Bittinger has been teaching math at the university level. Since 1968, he has been employed  at Indiana University - Purdue University Indianapolis, and is now professor emeritus of mathematics education. Professor Bittinger has authored over 190 publications on topics ranging from basic mathematics to algebra and trigonometry to applied calculus. He received his BA in mathematics from Manchester College and his PhD in mathematics education from Purdue University. Special honors include Distinguished Visiting Professor at the United States Air Force Academy and his election to the Manchester College Board of Trustees from 1992 to 1999. His hobbies include hiking in Utah, baseball, golf, and bowling. Professor Bittinger has also had the privilege of speaking at many mathematics conventions, most recently giving a lecture entitled \"Baseball and Mathematics.\" In addition, he also has an interest in philosophy and theology, in particular, apologetics. Professor Bittinger currently lives in Carmel, Indiana with his wife Elaine. He has two grown and married sons, Lowell and Chris, and four granddaughters.'

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Chapter R  Basic Concepts of Algebra

R.1  The Real-Number System

R.2  Integer Exponents, Scientific Notation, and Order of Operations

R.3  Addition, Subtraction, and Multiplication of Polynomials

R.4  Factoring

R.5  Rational Expressions

R.6  Radical Notation and Rational Exponents

R.7  The Basics of Equation Solving

 

Chapter 1  Graphs, Functions, and Models

1.1  Introduction to Graphing

1.2  Functions and Graphs

1.3  Linear Functions, Slope, and Applications

1.4  Equations of Lines and Modeling

1.5  More on Functions

1.6  The Algebra of Functions

1.7  Symmetry and Transformations

 

Chapter 2  Functions, Equations, and Inequalities

2.1  Linear Equations, Functions, and Models

2.2  The Complex Numbers

2.3  Quadratic Equations, Functions, and Models

2.4  Analyzing Graphs of Quadratic Functions

2.5  More Equation Solving

2.6  Solving Linear Inequalities

 

Chapter 3  Polynomial And Rational Functions

3.1  Polynomial Functions and Models

3.2  Graphing Polynomial Functions

3.3  Polynomial Division; The Remainder and Factor Theorems

3.4  Theorems about Zeros of Polynomial Functions

3.5  Rational Functions

3.6  Polynomial and Rational Inequalities

3.7  Variation and Applications

 

Chapter 4  Exponential and Logarithmic Functions

4.1  Inverse Functions

4.2  Exponential Functions and Graphs

4.3  Logarithmic Functions and Graphs

4.4  Properties of Logarithmic Functions

4.5  Solving Exponential and Logarithmic Equations

4.6  Applications and Models:  Growth and Decay, and Compound Interest

 

Chapter 5  Systems of Equations and Matrices

5.1  Systems of Equations in Two Variables

5.2  Systems of Equations in Three Variables

5.3  Matrices and Systems of Equations

5.4  Matrix Operations

5.5  Inverses of Matrices

5.6  Determinants and Cramer's Rule

5.7  Systems of Inequalities and Linear Programming

5.8  Partial Fractions

 

Chapter 6  Conic Sections

6.1  The Parabola

6.2  The Circle and the Ellipse

6.3  The Hyperbola

6.4  Nonlinear Systems of Equations and Inequalties

 

Chapter 7  Sequences, Series, and Combinatorics

7.1  Sequences and Series

7.2  Arithmetic Sequences and Series

7.3  Geometric Sequences and Series

7.4  Mathematical Induction

7.5  Combinatorics:  Permutations

7.6  Combinatorics:  Combinations

7.7  The Binomial Theorem

7.8  Probability

 

Appendix:  Basic Concepts from Geometry\n

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