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Modeling the Dynamics of Life : Calculus and Probability for Life Scientists by Frederick R. Adler (2012, Hardcover, Revised edition)

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Product Information

Understand the role of mathematics in biology with MODELING THE DYNAMICS OF LIFE: CALCULUS AND PROBABILITY FOR LIFE SCIENTISTS, Third Edition! Designed to demonstrate the importance of mathematics in breakthroughs in epidemiology, genetics, statistics, physiology, and other biological areas, this mathematics text provides you with the tools you need to succeed. Modeling problems, review problems, and over 100 graphing calculator or computer exercises help you visualize and conceptualize key concepts.

Product Identifiers

Publisher
Brooks/Cole
ISBN-10
0840064187
ISBN-13
9780840064189
eBay Product ID (ePID)
109119150

Product Key Features

Author
Frederick R. Adler
Publication Name
Modeling the Dynamics of Life : Calculus and Probability for Life Scientists
Format
Hardcover
Language
English
Features
Revised
Publication Year
2012
Type
Textbook
Number of Pages
960 Pages

Dimensions

Item Length
11in
Item Height
1.6in
Item Width
8.8in
Item Weight
77 Oz

Additional Product Features

Lc Classification Number
Qa303.2.A35 2013
Edition Description
Revised Edition
Edition Number
3
Table of Content
1. Introduction to Discrete-Time Dynamical Systems. 1.1 Biology and Dynamics. 1.2 Variables. Parameters. and Functions in Biology. 1.3 The Units and Dimensions of Measurements and Functions. 1.4 Linear Functions and Their Graphs. 1.5 Discrete-Time Dynamical Systems. 1.6 Analysis of Discrete-Time Dynamical Systems. 1.7 Expressing Solutions with Exponential Functions. 1.8 Oscillations and Trigonometry. 1.9 A Model of Gas Exchange in the Lung. 1.10 An Example of Nonlinear Dynamics. 1.11 An Excitable Systems I: The Heart. 2. Limits and Derivatives. 2.1 Introduction to Derivatives. 2.2 Limits. 2.3 Continuity. 2.4 Computing Derivatives: Linear and Quadratic Functions. 2.5 Derivatives of Sums. Powers. and Polynomials. 2.6 Derivatives of Products and Quotients. 2.7 The Second Derivative. Curvature. and Acceleration. 2.8 Derivatives of Exponential and Logarithmic Functions. 2.9 The Chain Rule. 2.10 Derivatives of Trigonometric Functions. 3. Applications of Derivatives and Dynamical Systems. 3.1 Stability and the Derivative. 3.2 More Complicated Dynamics. 3.3 Maximization. 3.4 Reasoning About Functions. 3.5 Limits at Infinity. 3.6 Leading Behavior and L'Hopital's Rule. 3.7 Approximating Functions with Lines and Polynomials. 3.8 Newton's Method. 3.9 Panting and Deep Breathing. 4. Differential Equations. Integrals. and Their Applications. 4.1 Differential Equations. 4.2 Solving Pure-Time Differential Equations. 4.3 Integration of Special Functions. Integration by Substitution. by Parts. and by Partial Fractions. 4.4 Integrals and Sums. 4.5 Definite and Indefinite Integrals. 4.6 Applications of Integrals. 4.7 Improper Integrals. 5. Analysis of Autonomous Differential Equations. 5.1 Basic Differential Equations. 5.2 Equilibria and Display of Autonomous Differential Equations. 5.3 Stable and Unstable Equilibria. 5.4 Solving Autonomous Differential Equations. 5.5 Two Dimensional Differential Equations. 5.6 The Phase Plane. 5.7 Solutions in the Phase Plane. 5.8 The Dynamics of a Neuron. 6. Probability Theory and Descriptive Statistics. 6.1 Introduction to Probabilistic Models. 6.2 Stochastic Models of Diffusion and Genetics. 6.3 Probability Theory. 6.4 Conditional Probability. 6.5 Independence and Markov Chains. 6.6 Displaying Probabilities. 6.7 Random Variables. 6.8 Descriptive Statistics. 6.9 Descriptive Statistics for Spread. 7. Probability Models. 7.1 Joint Distributions. 7.2 Covariance and Correlation. 7.3 Sums and Products of Random Variables. 7.4 The Binomial Distribution. 7.5 Applications of the Binomial Distribution. 7.6 Waiting Times: Geometric and Exponential Distributions. 7.7 The Poisson Distribution. 7.8 The Normal Distribution. 7.9 Applying the Normal Approximation. 8. Introduction to Statistical Reasoning. 8.1 Statistics: Estimating Parameters. 8.2 Confidence Limits. 8.3 Estimating the Mean. 8.4 Hypothesis Testing. 8.5 Hypothesis Testing: Normal Theory. 8.6 Comparing Experiments: Normal Theory. 8.7 Analysis of Contingency Tables and Goodness of Fit. 8.8 Hypothesis Testing with the Method of Support. 8.9 Regression.
Copyright Date
2013
Target Audience
College Audience
Topic
Probability & Statistics / General, Life Sciences / General, General, Algebra / Elementary, Calculus
Lccn
2011-942000
Dewey Decimal
515
Dewey Edition
23
Illustrated
Yes
Genre
Science, Mathematics

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Modeling the Dynamics of Life : Calculus and Probability for Life Scientists by Frederick R. Adler (2012, Hardcover, Revised edition)

About this product

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All listings for this product

item 1 Modeling the Dynamics of Life: Calculus and Probability for Life Scientists

item 2 Modeling the Dynamics of Life: Calculus and Probability for Life Scientists, Adl

item 3 MODELING THE DYNAMICS OF LIFE: CALCULUS AND PROBABILITY By Frederick R. Adler VG

item 4 Modeling the Dynamics of Life: Calculus and Probability for Life Scientists

item 5 MODELING THE DYNAMICS OF LIFE: CALCULUS AND PROBABILITY By Frederick R. Adler

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