Description
Cengage College Algebra with Applications for Business and Life Sciences 2012 Edition by Anne V. Hodgkins, Ron Larson
If you have struggled in previous algebra courses (and even if you haven't), COLLEGE ALGEBRA WITH APPLICATIONS FOR BUSINESS AND LIFE SCIENCES, Second Edition, can help you succeed in your college algebra course. The authors provide you with a firm foundation in algebraic concepts, and guide you in applying your understanding to relevant examples and applications you are likely to encounter in college or in your career. If your instructor chooses, you'll also learn how to use graphing technology as a tool for problem solving and for review or retention. Table of contents :- 0. FUNDAMENTAL CONCEPTS OF ALGEBRA.Real Numbers: Order and Absolute Value. The Basic Rules of Algebra. Integer Exponents. Radicals and Rational Exponents. Polynomials and Special Products.Factoring. Fractional Expressions.1. EQUATIONS AND INEQUALITIES.Linear Equations. Mathematical Modeling. Quadratic Equations. The Quadratic Formula. Other Types of Equations. Linear Inequalities. Other Types of Inequalities.2. FUNCTIONS AND GRAPHS.Graphs of Equations. Lines in the Plane. Linear Modeling and Direct Variation. Functions. Graphs of Functions. Transformations of Functions. The Algebra of Functions.3. POLYNOMIAL AND RATIONAL FUNCTIONS. Quadratic Functions and Models. Polynomial Functions of Higher Degree. Polynomial Division. Real Zeros of Polynomial Functions. Complex Numbers. The Fundamental Theorem of Algebra. Rational Functions.4. EXPONENTIAL AND LOGARITHMIC FUNCTIONS.Inverse Functions. Exponential Functions. Logarithmic Functions. Properties of Logarithms. Solving Exponential and Logarithmic Equations. Exponential and Logarithmic Models.5. SYSTEMS OF EQUATIONS AND INEQUALITIES.Solving Linear Systems Using Substitution. Solving Linear Systems Using Elimination. Linear Systems in Three or More Variables. Systems of Inequalities. Linear Programming.6. MATRICES AND DETERMINANTS.Matrices and Linear Systems. Operations with Matrices. The Inverse of a Square Matrix.The Determinant of a Square Matrix. Applications of Matrices and Determinants.7. SEQUENCES, SERIES, AND PROBABILITY.Sequences and Summation Notation. Arithmetic Sequences and Partial Sums. Geometric Sequences and Series. The Binomial Theorem. Counting Principles. Probability.Appendix A: An Introduction to Graphing Utilities. Appendix B: Conic Sections.Conic Sections. Conic Sections and Translations.Appendix C: Further Concepts in Statistics.Data and Linear Modeling. Measures of Central Tendency and Dispersion.