Essentials of college algebra
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Bibliographic Information
Essentials of college algebra
Pearson Addison-Wesley, c2008
Alternate ed
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Description and Table of Contents
Description
Essentials of College Algebra , Updated Edition, 1/e, has been specifically designed to provide a more compact and less expensive alternative to better meet the needs of colleges whose algebra courses do not include the more advanced topics. The authors have focused the content of this book on helping students master the basic functions in college algebra and their graphs, while including a strong review of intermediate algebra at the beginning of the text and an introduction to systems and matrices at the end.
Table of Contents
- R. Review of Basic Concepts. Real Numbers and Their Properties.Order and Absolute Value.Polynomials.Factoring Polynomials.Rational Expressions.Rational Exponents.Radical Expressions. 1. Equations and Inequalities. Linear Equations.Applications and Modeling with Linear Equations.Complex Numbers.Quadratic Equations.Applications and Modeling with Quadratic Equations.Other Types of Equations.Inequalities.Absolute Value Equations and Inequalities. 2. Graphs and Functions. Graphs of Equations.Functions.Linear Functions.Equations of Lines
- Curve Fitting.Graphs of Basic Functions.Graphing Techniques.Function Operations and Composition. 3. Polynomial and Rational Functions. Quadratic Functions and Models.Synthetic Division.Zeros of Polynomial Functions.Polynomial Functions: Graphs, Applications, and Models.Rational Functions: Graphs, Applications, and Models.Variation. 4. Exponential and Logarithmic Functions. Inverse Functions.Exponential Functions.Logarithmic Functions.Evaluating Logarithms and the Change-of-Base Theorem.Exponential and Logarithmic Equations.Applications and Models of Exponential Growth and Decay.5. Systems and Matrices Systems of Linear Equations. Matrix Solutions of Linear Systems. Determinant Solution of Linear Systems. Partial Fractions. Nonlinear Systems of Equations. Systems of Inequalities and Linear Programming. Properties of Matrices. Matrix Inverses.
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