Calculus with Applications for the Life Sciences / Edition 1

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Product Details

  • ISBN-13: 9780201745825
  • Publisher: Pearson
  • Publication date: 10/14/2002
  • Series: Calculus for Life Sciences Series
  • Edition description: Older Edition
  • Edition number: 1
  • Pages: 880
  • Sales rank: 482,631
  • Product dimensions: 8.00 (w) x 10.10 (h) x 1.50 (d)

Table of Contents

R. Algebra Reference.

Polynomials.

Factoring.

Rational Expressions.

Equations.

Inequalities.

Exponents.

Radicals.

1. Functions.

Lines and Linear Functions.

The Least Squares Line.

Properties of Functions.

Quadratic Functions; Translation and Reflection.

Polynomial and Rational Functions.

2. Exponential, Logarithmic, and Trigonometric Functions.

Exponential Functions.

Logarithmic Functions.

Applications: Growth and Decay.

Trigonometric Functions.

3. The Derivative.

Limits.

Continuity.

Rates of Change.

Definition of the Derivative.

Graphical Differentiation.

4. Calculating the Derivative.

Techniques for Finding Derivatives.

Derivatives of Products and Quotients.

The Chain Rule.

Derivatives of Exponential Functions.

Derivatives of Logarithmic Functions.

Derivatives of Trigonometric Functions.

5. Graphs and the Derivative.

Increasing and Decreasing Functions.

Relative Extrema.

Higher Derivatives, Concavity, and the Second Derivative Test.

Curve Sketching.

6. Applications of the Derivative.

Absolute Extrema.

Applications of Extrema.

Implicit Differentiation.

Related Rates.

Differentials: Linear Approximation.

7. Integration.

Antiderivatives.

Substitution.

Area and the Definite Integral.

The Fundamental Theorem of Calculus.

Integrals of Trigonometric Functions.

The Area Between Two Curves.

8. Further Techniques and Applications of Integration.

Numerical Integration.

Integration by Parts.

Volume and Average Value.

Improper Integrals.

9. Multivariable Calculus.

Functions of Several Variables.

Partial Derivatives.

Maxima and Minima.

Total Differentials and Approximations.

Double Integrals.

10. Linear Algebra.

Solution of Linear Systems.

Addition and Subtraction of Matrices.

Multiplication of Matrices.

Matrix Inverses.

Eigenvalues and Eigenvectors.

11. Differential Equations.

Solutions of Elementary and Separable Differential Equations.

Linear First-Order Differential Equations.

Euler's Method.

Linear Systems of Differential Equations.

Nonlinear Systems of Differential Equations.

Applications of Differential Equations.

12. Probability.

Sets.

Introduction to Probability.

Conditional Probability; Independent Events; Bayes' Theorem.

Discrete Random Variables; Applications to Decision Making.

13. Probability and Calculus.

Continuous Probability Models.

Expected Value and Variance of Continuous Random Variables.

Special Probability Density Functions.

Read More Show Less

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Sort by: Showing 1 Customer Reviews
  • Anonymous

    Posted February 11, 2005

    interesting problems

    If you are majoring in the life sciences, then the authors have striven to teach calculus in a manner that will interest and motivate you. Here, life sciences encompasses both the biological sciences and various social sciences like finance and economics. The authors customise the course via numerous examples and problems in each chapter. To be sure, in the text, outside the examples, it is a straightforward explanation of the important ideas in caculus, like finding derivates and solving differential equations. Which is as it should be. The maths is independent of the applications, after all. But much of the value of the book to you is in those examples and problems. There is a fascinating plethora of problems. I will only cite a few: Modelling a foot and mouth disease epidemic. Alcohol concentration in a person's blood as a function of time. Rate of pollution entering a lake. The Gini coefficient of income inequality in a country. The book shows that the uses of calculus in the life sciences are myriad and worthy of your understanding nad appreciation.

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