Calculus for the Life Sciences, Books a la Carte + MyLab Math with Pearson eText / Edition 2

Calculus for the Life Sciences, Books a la Carte + MyLab Math with Pearson eText / Edition 2

ISBN-10:
0321964543
ISBN-13:
9780321964540
Pub. Date:
02/21/2014
Publisher:
Pearson Education
Calculus for the Life Sciences, Books a la Carte + MyLab Math with Pearson eText / Edition 2

Calculus for the Life Sciences, Books a la Carte + MyLab Math with Pearson eText / Edition 2

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Overview

This edition features the same content as the traditional text in a convenient, three-hole-punched, loose-leaf version. Books a la Carte also offer a great value–this format costs significantly less than a new textbook. Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products.

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.


Product Details

ISBN-13: 9780321964540
Publisher: Pearson Education
Publication date: 02/21/2014
Edition description: 2nd ed.
Pages: 9998
Product dimensions: 8.40(w) x 10.90(h) x 1.20(d)

About the Author

Raymond N. Greenwell earned a B.A. in Mathematics and Physics from the University of San Diego, and an M.S. in Statistics, an M.S. in Applied Mathematics, and a Ph.D. in Applied Mathematics from Michigan State University, where he earned the graduate student teaching award in 1979. After teaching at Albion College in Michigan for four years, he moved to Hofstra University in 1983, where he currently is Professor of Mathematics.

Raymond has published articles on fluid mechanics, mathematical biology, genetic algorithms, combinatorics, statistics, and undergraduate mathematics education. He is a member of MAA, AMS, SIAM, NCTM, and AMATYC. He has served as governor of the Metropolitan New York Section of the MAA, as well as webmaster and liaison coordinator, and he received a distinguished service award from the Section in 2003. He is an outdoor enthusiast and leads trips in the Sierra Club’s Inner City Outings program.

Nathan P. Ritchey earned a B.A. in Mathematics with a minor in Music from Mansfield University of Pennsylvania. He earned a M.S. in Applied Mathematics and a Ph.D. in Mathematics from Carnegie Mellon University. He is currently the Dean of the College of Science and Health Professions at Edinboro University. He has published articles in economics, honors education, medicine, mathematics, operations research, and student recruitment. Nate is a Consultant/Evaluator for the North Central Association's Higher Learning Commission and regularly participates in program evaluations.

In recognition of his numerous activities, Nate has received the Distinguished Professor Award for University Service, the Youngstown Vindicator's "People Who Make a Difference Award," the Watson Merit Award for Department Chairs, the Spirit in Education Award from the SunTex corporation, and the Provost's Merit Award for significant contributions to the Honors Program. A father of four children, Nate enthusiastically coaches soccer and softball. He also loves music, playing several instruments, and is a tenor in the Shenango Valley Chorale. More information about Nate Ritchey can be found at: http://www.as.ysu.edu/~nate/.

Marge Lial (late) was always interested in math; it was her favorite subject in the first grade! Marge's intense desire to educate both her students and herself has inspired the writing of numerous best-selling textbooks. Marge, who received bachelor's and master's degrees from California State University at Sacramento, was affiliated with American River College. An avid reader and traveler, her travel experiences often find their way into her books as applications, exercise sets, and feature sets. Her interest in archeology lead to trips to various digs and ruin sites, producing some fascinating problems for her textbooks involving such topics as the building of Mayan pyramids and the acoustics of ancient ball courts in the Yucatan.

Table of Contents

  1. 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 Eigenvectorsx
    • 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
  • 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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