Introduction to Applied Mathematics for Environmental ScienceFor many years, first as a student and later as a teacher, I have ob served graduate students in ecology and other environmental sci ences who had been required as undergraduates to take calculus courses. Those courses have often emphasized how to prove theo rems about the beautiful, logical structure of calculus, but have ne glected applications. Most of the time, the students have come out of such courses with little or no appreciation of how to apply calculus in their own work. Based on these observations, I developed a course de signed in part to re-teach calculus as an everyday tool in ecology and other environmental sciences. I emphasized derivations—working with story problems (sometimes quite complex ones)—in that course, and now in this book. The present textbook has developed out of my notes for that course. Its basic purpose is to describe various types of mathemati cal structures and how they can be apphed in environmental science. Thus, linear and non-linear algebraic equations, derivatives and in tegrals, and ordinary and partial differential equations are the basic kinds of structures, or types of mathematical models, discussed. For each, the discussion follows a pattern something like this: 1. An example of the type of structure, as apphed to environmental science, is given. 2. Next, a description of the structure is presented. 3. Usually, this is followed by other examples of how the structure arises in environmental science. 4. The analytic methods of solving and learning from the structure are discussed. |
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Continguts
Introduction | 1 |
12 PreCalculus Math Review | 4 |
13 Trigonometry | 5 |
15 Ratios and Percentages | 7 |
16 Analysis Finding Symbolic Solutions versus Numerical Analysis | 8 |
17 Notes on Significant Digits | 10 |
18 Exercises | 13 |
19 Questions and Answers | 18 |
Numerical Solution of Ordinary Differential Equations | 147 |
72 The RungeKutta Method | 151 |
73 Solving ODEs Numerically with MATLAB | 159 |
74 Exercises | 160 |
75 Questions and Answers | 163 |
SecondOrder ODEs | 166 |
81 Mass Transfer in Cartesian Coordinate Systems | 167 |
82 Generalizations to Other Quantities | 175 |
Derivatives and Differentiation | 19 |
22 Usefulness in Environmental Science | 20 |
23 Taylor Series a Basis for Numerical Analysis | 27 |
24 Numerical Differentiation | 32 |
25 Checking Analytic Derivatives | 36 |
26 Exercises | 37 |
27 Questions and Answers | 46 |
Integration | 52 |
32 Usefulness in Environmental Science | 53 |
33 Analytic Integration | 57 |
34 Numerical Integration | 60 |
35 DifferentiationIntegration Contrasts | 65 |
36 Exercises | 68 |
37 Questions and Answers | 77 |
Ordinary Differential Equations | 82 |
42 Solution of Simple FirstOrder ODEs | 89 |
43 Checking Solutions of ODEs | 94 |
44 Notes on Differential Equations | 98 |
45 Analytic Solution of FirstOrder ODEs | 102 |
46 Table of Solutions of Selected ODEs | 106 |
47 Analytic Solution with MATLAB | 109 |
48 Exercises | 110 |
49 Questions and Answers | 119 |
Further Topics in ODEs | 123 |
52 Integrating Factors for Linear FirstOrder Differential Equations | 126 |
53 Integrals for the integratingfactor method | 131 |
54 Exercises | 132 |
55 Questions and Answers | 135 |
Systems of Ordinary Differential Equations | 137 |
62 Exercises | 141 |
83 Conduction of Heat in a Solid | 176 |
84 Coordinate Systems for Curved Geometry | 178 |
85 Solving SecondOrder ODEs Analytically with MATLAB | 182 |
86 Exercises | 183 |
87 Questions and Answers | 190 |
Linear Algebra | 193 |
92 How Linear Systems Arise | 194 |
An Introduction to Linear Algebra | 197 |
94 Well and 111 Conditioned Linear Systems | 208 |
95 Population modelling with Leslie matrices | 212 |
96 Other Applications for Matrices | 215 |
97 Exercises | 216 |
98 Questions and Answers | 222 |
NonLinear Equations | 229 |
101 Roots of Nonlinear Equations | 230 |
102 Repeated or Multiple Roots | 239 |
103 Exercises | 241 |
104 Questions and Answers | 247 |
Partial Differential Equations 111 Partial Derivatives | 250 |
112 Mass and Heat Transfer | 253 |
113 Schmidts Graphical Method for Solving PDEs | 259 |
114 Atmospheric Diffusion in Three Dimensions | 262 |
115 Exercises | 272 |
116 Questions and Answers | 283 |
PreCalculus Math Review | 285 |
Solutions to OddNumbered Exercises | 292 |
List of Applications | 307 |
310 | |
313 | |
Altres edicions - Mostra-ho tot
Introduction to Applied Mathematics for Environmental Science David F. Parkhurst Previsualització limitada - 2007 |
Introduction to Applied Mathematics for Environmental Science David F. Parkhurst Previsualització no disponible - 2010 |
Frases i termes més freqüents
algebra analytic solution apply approximate assume boundary conditions calculations chain rule Chapter coefficient concentration consider control volume curve defined density determine differential equations diffusion distance dx dx energy balance estimate Euler's method example Exercises Figure first-order ODEs flow function Gaussian elimination gradient heat loss heat transfer initial condition iterations lake linear equations Lotka-Volterra equations Maclaurin series math mathematical MATLAB matrix Newton's method non-linear Note numerical values obtain ordinary differential equations partial differential equations PDEs plot polynomial population problem quadratic relationship represent result root round-off error Runge-Kutta Runge-Kutta method secant method shown in Fig Simpson's rule slope solve specific step stream substitute Suppose surface symbols Taylor series temperature tion tube unit check variables varies yields zero