College Algebra and Calculus
An Applied Approach, International Edition
2nd Edition
Published on 1. January 2012
Book
Paperback/Softback
1136 pages
978-1-133-10518-3 (ISBN)
Description
COLLEGE ALGEBRA AND CALCULUS: AN APPLIED APPROACH, 2E, International Edition provides a comprehensive resource for college algebra and applied calculus courses. The mathematical concepts and applications are consistently presented in the same tone and pedagogy to promote confidence and a smooth transition from one course to the next. The consolidation of content for two courses in a single text saves instructors time in their course-and saves students the cost of an extra textbook.
Reviews / Votes
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. LIMITS AND DERIVATIVES. Limits. Continuity. The Derivative and the Slope of a Graph. Some Rules for Differentiation. Rates of Change: Velocity and Marginals. The Product and Quotient Rules. The Chain Rule. 8. APPLICATIONS OF THE DERIVATIVE. Higher-Order Derivatives. Implicit Differentiation. Related Rates. Increasing and Decreasing Functions. Extrema and the First-Derivative Test. Concavity and the Second-Derivative Test. 9. FURTHER APPLICATIONS OF THE DERIVATIVE. Optimization Problems. Business and Economics Applications. Asymptotes. Curve Sketching: A Summary. Differentials and Marginal Analysis. 10. DERIVATIVES OF EXPONENTIAL AND LOGARITHMIC FUNCTIONS. Exponential Functions. Natural Exponential Functions. Derivatives of Exponential Functions. Logarithmic Functions. Derivatives of Logarithmic Functions. Exponential Growth and Decay. 11. INTEGRATION AND ITS APPLICATIONS. Antiderivatives and Indefinite Integrals. Integration by Substitution and The General Power Rule. Exponential and Logarithmic Integrals. Area and the Fundamental Theorem of Calculus. The Area of a Region Bounded by Two Graphs. The Definite Integral as the Limit of a Sum. 12. TECHNIQUES OF INTEGRATION. Integration by Parts and Present Value. Integration Tables. Numerical Integration. Improper Integrals. 13. FUNCTIONS OF SEVERAL VARIABLES. The Three-Dimensional Coordinate System. Surfaces in Space. Functions of Several Variables. Partial Derivatives. Extrema of Functions of Two Variables. Lagrange Multipliers. Least Squares Regression Analysis. Double Integrals and Area in the Plane. Applications of Double Integrals. 14. TRIGONOMETRIC FUNCTIONS. Radian Measure of Angles. The Trigonometric Functions. Graphs of Trigonometric Functions. Derivatives of Trigonometric Functions. Integrals of Trigonometric Functions. 15. SERIES AND TAYLOR POLYNOMIALS. Sequences and Summation Notation. Arithmetic Sequences and Partial Sums. Geometric Sequences and Series. Series and Convergence. p-Series and the Ratio Test. Power Series and Taylor's Theorem. Taylor Polynomials. Newton's Method. 16. PROBABILITY. Counting Principles. Probability. Discrete and Continuous Random Variables. Expected Value and Variance. Mathematical Induction. The Binomial Theorem. 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. Appendix D: Precalculus Review. The Real Number Line and Order. Absolute Value and Distance on the Real Number Line. Exponents and Radicals. Factoring Polynomials. Fractions and Rationalization. Appendix E: Alternate Introduction to the Fundamental Theorem of Calculus. Appendix F: Differential Equations. Solutions of Differential Equations. Separation of Variables. First-Order Linear Differential Equations. Applications of Differential Equations. Appendix G: Formulas. Differentiation and Integration Formulas. Formulas from Business and Finance. Appendix H: Properties and Measurement. Review of Algebra, Geometry, and Trigonometry. Units of Measurements. Appendix I: Graphing Utility Programs. Appendix J: Mathematical Induction. Supplements:More details
Edition
2nd edition
Language
English
Place of publication
CA
United States
Publishing group
Cengage Learning, Inc
Target group
College/higher education
Dimensions
Height: 30 mm
Width: 215 mm
Thickness: 279 mm
Weight
1996 gr
ISBN-13
978-1-133-10518-3 (9781133105183)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Book
11/2008
Brooks/Cole
€156.24
Article not available at the moment
Persons
Dr. Ron Larson is a professor of mathematics at the Pennsylvania State University, where he has taught since 1970. He is considered the pioneer of using multimedia to enhance the learning of mathematics, having authored more than 30 software titles since 1990. Dr. Larson has also authored numerous acclaimed textbooks, including the best-selling calculus series coauthored with Dr. Bruce Edwards and published by Cengage. Dr. Larson received the 2017 William Holmes McGuffey Longevity Award for PRECALCULUS and for CALCULUS. He also received the 2018 Text and Academic Authors Association TEXTY Award for CALCULUS: EARLY TRANSCENDENTAL FUNCTIONS. In addition, Dr. Larson received the 1996 Text and Academic Authors Association TEXTY Award for INTERACTIVE CALCULUS -- a complete text on CD-ROM that was the first mainstream college textbook to be offered on the internet. Anne Hodgkins received her Ed.D. in higher education from Texas A&M University at Commerce in 1990. She has taught at the secondary, community college and university levels. She currently teaches at Phoenix College in Phoenix, Arizona. She especially enjoys teaching intermediate and college algebra as well as calculus. Her interests include math education and research in mathematics teaching strategies.
Content
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. LIMITS AND DERIVATIVES.
Limits. Continuity. The Derivative and the Slope of a Graph. Some Rules for Differentiation. Rates of Change: Velocity and Marginals. The Product and Quotient Rules. The Chain Rule.
8. APPLICATIONS OF THE DERIVATIVE.
Higher-Order Derivatives. Implicit Differentiation. Related Rates. Increasing and Decreasing Functions. Extrema and the First-Derivative Test. Concavity and the Second-Derivative Test.
9. FURTHER APPLICATIONS OF THE DERIVATIVE.
Optimization Problems. Business and Economics Applications. Asymptotes. Curve Sketching: A Summary. Differentials and Marginal Analysis.
10. DERIVATIVES OF EXPONENTIAL AND LOGARITHMIC FUNCTIONS.
Exponential Functions. Natural Exponential Functions. Derivatives of Exponential Functions. Logarithmic Functions. Derivatives of Logarithmic Functions. Exponential Growth and Decay.
11. INTEGRATION AND ITS APPLICATIONS.
Antiderivatives and Indefinite Integrals. Integration by Substitution and The General Power Rule. Exponential and Logarithmic Integrals. Area and the Fundamental Theorem of Calculus. The Area of a Region Bounded by Two Graphs. The Definite Integral as the Limit of a Sum.
12. TECHNIQUES OF INTEGRATION.
Integration by Parts and Present Value. Integration Tables. Numerical Integration. Improper Integrals.
13. FUNCTIONS OF SEVERAL VARIABLES.
The Three-Dimensional Coordinate System. Surfaces in Space. Functions of Several Variables. Partial Derivatives. Extrema of Functions of Two Variables. Lagrange Multipliers. Least Squares Regression Analysis. Double Integrals and Area in the Plane. Applications of Double Integrals.
14. TRIGONOMETRIC FUNCTIONS.
Radian Measure of Angles. The Trigonometric Functions. Graphs of Trigonometric Functions. Derivatives of Trigonometric Functions. Integrals of Trigonometric Functions.
ONLINE.
15. SERIES AND TAYLOR POLYNOMIALS.
Sequences and Summation Notation. Arithmetic Sequences and Partial Sums. Geometric Sequences and Series. Series and Convergence. p-Series and the Ratio Test. Power Series and Taylor's Theorem. Taylor Polynomials. Newton's Method.
16. PROBABILITY.
Counting Principles. Probability. Discrete and Continuous Random Variables. Expected Value and Variance. Mathematical Induction. The Binomial Theorem.
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.
Appendix D: Precalculus Rev
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. LIMITS AND DERIVATIVES.
Limits. Continuity. The Derivative and the Slope of a Graph. Some Rules for Differentiation. Rates of Change: Velocity and Marginals. The Product and Quotient Rules. The Chain Rule.
8. APPLICATIONS OF THE DERIVATIVE.
Higher-Order Derivatives. Implicit Differentiation. Related Rates. Increasing and Decreasing Functions. Extrema and the First-Derivative Test. Concavity and the Second-Derivative Test.
9. FURTHER APPLICATIONS OF THE DERIVATIVE.
Optimization Problems. Business and Economics Applications. Asymptotes. Curve Sketching: A Summary. Differentials and Marginal Analysis.
10. DERIVATIVES OF EXPONENTIAL AND LOGARITHMIC FUNCTIONS.
Exponential Functions. Natural Exponential Functions. Derivatives of Exponential Functions. Logarithmic Functions. Derivatives of Logarithmic Functions. Exponential Growth and Decay.
11. INTEGRATION AND ITS APPLICATIONS.
Antiderivatives and Indefinite Integrals. Integration by Substitution and The General Power Rule. Exponential and Logarithmic Integrals. Area and the Fundamental Theorem of Calculus. The Area of a Region Bounded by Two Graphs. The Definite Integral as the Limit of a Sum.
12. TECHNIQUES OF INTEGRATION.
Integration by Parts and Present Value. Integration Tables. Numerical Integration. Improper Integrals.
13. FUNCTIONS OF SEVERAL VARIABLES.
The Three-Dimensional Coordinate System. Surfaces in Space. Functions of Several Variables. Partial Derivatives. Extrema of Functions of Two Variables. Lagrange Multipliers. Least Squares Regression Analysis. Double Integrals and Area in the Plane. Applications of Double Integrals.
14. TRIGONOMETRIC FUNCTIONS.
Radian Measure of Angles. The Trigonometric Functions. Graphs of Trigonometric Functions. Derivatives of Trigonometric Functions. Integrals of Trigonometric Functions.
ONLINE.
15. SERIES AND TAYLOR POLYNOMIALS.
Sequences and Summation Notation. Arithmetic Sequences and Partial Sums. Geometric Sequences and Series. Series and Convergence. p-Series and the Ratio Test. Power Series and Taylor's Theorem. Taylor Polynomials. Newton's Method.
16. PROBABILITY.
Counting Principles. Probability. Discrete and Continuous Random Variables. Expected Value and Variance. Mathematical Induction. The Binomial Theorem.
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.
Appendix D: Precalculus Rev