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Calculus for the Life Sciences, 2nd Edition

By Raymond N. Greenwell, Nathan P. Ritchey, Margaret L. Lial

Published by Pearson

Published Date: Feb 19, 2014


Calculus for the Life Sciences features interesting, relevant applications that motivate students and highlight the utility of mathematics for the life sciences. This edition also features new ways to engage students with the material, such as Your Turn exercises.

Note: You are purchasing a standalone product; MyMathLab does not come packaged with this content. MyMathLab is not a self-paced technology and should only be purchased when required by an instructor. If you would like to purchase both the physical text and MyMathLab, search for:


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Table of Contents

R. Algebra Reference

R.1 Polynomials

R.2 Factoring

R.3 Rational Expressions

R.4 Equations

R.5 Inequalities

R.6 Exponents

R.7 Radicals


1. Functions

1.1 Lines and Linear Functions

1.2 The Least Squares Line

1.3 Properties of Functions

1.4 Quadratic Functions; Translation and Reflection

1.5 Polynomial and Rational Functions

            Chapter Review

            Extended Application: Using Extrapolation to Predict Life Expectancy

2. Exponential, Logarithmic, and Trigonometric Functions

2.1 Exponential Functions

2.2 Logarithmic Functions

2.3 Applications: Growth and Decay

2.4 Trigonometric Functions

            Chapter Review

            Extended Application: Power Functions

3. The Derivative

3.1 Limits

3.2 Continuity

3.3 Rates of Change

3.4 Definition of the Derivative

3.5 Graphical Differentiation

            Chapter Review

            Extended Application: A Model For Drugs Administered Intravenously

4. Calculating the Derivative

4.1 Techniques for Finding Derivatives

4.2 Derivatives of Products and Quotients

4.3 The Chain Rule

4.4 Derivatives of Exponential Functions

4.5 Derivatives of Logarithmic Functions

4.6 Derivatives of Trigonometric Functions

            Chapter Review

            Extended Application: Managing Renewable Resources

5. Graphs and the Derivative

5.1 Increasing and Decreasing Functions

5.2 Relative Extrema

5.3 Higher Derivatives, Concavity, and the Second Derivative Test

5.4 Curve Sketching

            Chapter Review

            Extended Application: A Drug Concentration Model for Orally Administered Medications


6. Applications of the Derivative

6.1 Absolute Extrema

6.2 Applications of Extrema

6.3 Implicit Differentiation

6.4 Related Rates

6.5 Differentials: Linear Approximation

            Chapter Review

            Extended Application: A Total Cost Model for a Training Program

7. Integration

7.1 Antiderivatives

7.2 Substitution

7.3 Area and the Definite Integral

7.4 The Fundamental Theorem of Calculus

7.5 The Area Between Two Curves

            Chapter Review

            Extended Application: Estimating Depletion Dates for Minerals

8. Further Techniques and Applications of Integration

8.1 Numerical Integration

8.2 Integration by Parts

8.3 Volume and Average Value

8.4 Improper Integrals

            Chapter Review

            Extended Application: Flow Systems


9. Multivariable Calculus

9.1 Functions of Several Variables

9.2 Partial Derivatives

9.3 Maxima and Minima

9.4 Total Differentials and Approximations

9.5 Double Integrals

            Chapter Review

            Extended Application: Optimization for a Predator

10. Matrices

10.1 Solution of Linear Systems

10.2 Addition and Subtraction of Matrices

10.3 Multiplication of Matrices

10.4 Matrix Inverses

10.5 Eigenvalues and Eigenvectors

            Chapter Review

            Extended Application: Contagion

11. Differential Equations

11.1 Solutions of Elementary and Separable Differential Equations

11.2 Linear First-Order Differential Equations

11.3 Euler's Method

11.4 Linear Systems of Differential Equations

11.5 Non-Linear Systems of Differential Equations

11.6 Applications of Differential Equations

            Chapter Review

            Extended Application: Pollution of the Great Lakes

12. Probability

12.1 Sets

12.2 Introduction to Probability

12.3 Conditional Probability; Independent Events; Bayes' Theorem

12.4 Discrete Random Variables; Applications to Decision Making

            Chapter Review

            Extended Application: Medical Diagnosis

13. Probability and Calculus

13.1 Continuous Probability Models

13.2 Expected Value and Variance of Continuous Random Variables.

13.3 Special Probability Density Functions

            Chapter Review

            Extended Application: Exponential Waiting Times


14. Discrete Dynamical Systems

14.1 Sequences

14.2 Equilibrium Points

14.3 Determining Stability

            Chapter Review

            Extended Application: Mathematical Modeling in a Dynamic World


Special Topics (available online)


Sequences and Series

            Geometric Sequences

            Annuities: An Application of Sequences

            Taylor Polynomials

            Infinite Series

            Taylor Series

            Newton’s Method

            L’Hôpital’s Rule


Markov Chains


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Package ISBN-13: 9780133955743

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    Raymond N. Greenwell, Nathan P. Ritchey, Margaret L. Lial

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