Calculus For Biology and Medicine, 4th edition
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Overview
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For freshman-level, two-semester or three-semester courses in Calculus for Life Sciences.
This package includes MyLab Math.
Shows students how calculus is used to analyze phenomena in nature – while providing flexibility for instructors to teach at their desired level of rigor
Calculus for Biology and Medicine motivates life and health science majors to learn calculus through relevant and strategically placed applications to their chosen fields. It presents the calculus in such a way that the level of rigor can be adjusted to meet the specific needs of the audience – from a purely applied course to one that matches the rigor of the standard calculus track.
In the 4th Edition, new co-author Marcus Roper (UCLA) partners with author Claudia Neuhauser to preserve these strengths while adding an unprecedented number of real applications and an infusion of modeling and technology.
Reach every student by pairing this text with MyLab Math
MyLab™ Math is the teaching and learning platform that empowers instructors to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab Math personalizes the learning experience and improves results for each student. For the first time, instructors teaching with Calculus for Biology and Medicine can assign text-specific online homework and other resources to students outside of the classroom.
0134845048 / 9780134845043 Calculus for Biology and Medicine plus MyLab Math with Pearson eText — Access Card Package, 4/e
Package consists of:
0134070046 / 9780134070049 Calculus for Biology and Medicine
0134782895 / 9780134782898 MyLab Math with Pearson eText - Standalone Access Card - for Calculus for Biology and Medicine, 4/e
Table of contents
(NOTE: Each chapter concludes with Key Terms and Review Problems.)
See the preface for a comprehensive Table of Contents.
1. Preview and Review
1.1 Precalculus Skills Diagnostic Test
1.2 Preliminaries
1.3 Elementary Functions
1.4 Graphing
2. Discrete-Time Models, Sequences, and Difference Equations
2.1 Exponential Growth and Decay
2.2 Sequences
2.3 Modeling with Recurrence Equations
3. Limits and Continuity
3.1 Limits
3.2 Continuity
3.3 Limits at Infinity
3.4 Trigonometric Limits and the Sandwich Theorem
3.5 Properties of Continuous Functions
3.6 A Formal Definition of Limits (Optional)
4. Differentiation
4.1 Formal Definition of the Derivative
4.2 Properties of the Derivative
4.3 Power Rules and Basic Rules
4.4 The Product and Quotient Rules, and the Derivatives of Rational and Power Functions
4.5 Chain Rule
4.6 Implicit Functions and Implicit Differentiation
4.7 Higher Derivatives
4.8 Derivatives of Trigonometric Functions
4.9 Derivatives of Exponential Functions
4.10 Inverse Functions and Logarithms
4.11 Linear Approximation and Error Propagation
5. Applications of Differentiation
5.1 Extrema and the Mean-Value Theorem
5.2 Monotonicity and Concavity
5.3 Extrema and Inflection Points
5.4 Optimization
5.5 L'Hôpital's Rule
5.6 Graphing and Asymptotes
5.7 Recurrence Equations: Stability (Optional)
5.8 Numerical Methods: The Newton - Raphson Method (Optional)
5.9 Modeling Biological Systems Using Differential Equations (Optional)
5.10 Antiderivatives
6. Integration
6.1 The Definite Integral
6.2 The Fundamental Theorem of Calculus
6.3 Applications of Integration
7. Integration Techniques and Computational Methods
7.1 The Substitution Rule
7.2 Integration by Parts and Practicing Integration
7.3 Rational Functions and Partial Fractions
7.4 Improper Integrals (Optional)
7.5 Numerical Integration
7.6 The Taylor Approximation (optional)
7.7 Tables of Integrals (Optional)
8. Differential Equations
8.1 Solving Separable Differential Equations
8.2 Equilibria and Their Stability
8.3 Differential Equation Models
8.4 Integrating Factors and Two-Compartment Models
9. Linear Algebra and Analytic Geometry
9.1 Linear Systems
9.2 Matrices
9.3 Linear Maps, Eigenvectors, and Eigenvalues
9.4 Demographic Modeling
9.5 Analytic Geometry
10. Multivariable Calculus
10.1 Two or More Independent Variables
10.2 Limits and Continuity (optional)
10.3 Partial Derivatives
10.4 Tangent Planes, Differentiability, and Linearization
10.5 The Chain Rule and Implicit Differentiation (Optional)
10.6 Directional Derivatives and Gradient Vectors (Optional)
10.7 Maximization and Minimization of Functions (Optional)
10.8 Diffusion (Optional)
10.9 Systems of Difference Equations (Optional)
11. Systems of Differential Equations
11.1 Linear Systems: Theory
11.2 Linear Systems: Applications
11.3 Nonlinear Autonomous Systems: Theory
11.4 Nonlinear Systems: Lotka - Volterra Model of Interspecific Interactions
11.5 More Mathematical Models (Optional)
12. Probability and Statistics
12.1 Counting
12.2 What Is Probability?
12.3 Conditional Probability and Independence
12.4 Discrete Random Variables and Discrete Distributions
12.5 Continuous Distributions
12.6 Limit Theorems
12.7 Statistical Tools
Appendix A: Frequently Used Symbols
Appendix B: Table of the Standard Normal Distribution
Answers to Odd-Numbered Problems
References
Photo Credits
Index
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