Mathematical Modelling TechniquesCourier Corporation, 1 gen 1994 - 269 pagine "Engaging, elegantly written." — Applied Mathematical Modelling |
Sommario
What is a model? | |
12 Relations between models with respect to origins | 5 |
13 Relations between models with respect to purpose and conditions | 16 |
14 How should a model he judged? | 20 |
The different types of model | 25 |
22 Finite models | 27 |
23 Fuzzy subsets | 30 |
24 Statistical models | 32 |
How should a model be evaluated? | 102 |
52 Extensions of models | 110 |
53 Observable quantities | 116 |
54 Comparison of models and prototypes and of models among themselves | 117 |
Longitudinal diffusion in a packed bed | 120 |
The coated tube chromatograph and Taylor diffusion | 129 |
The stirred tank reactor | 143 |
References | 156 |
26 Stochastic models | 34 |
How to formulate a model | 37 |
32 Constitutive relations | 42 |
33 Discrete and continuous models | 45 |
How should a model he manipulated into its most responsive form? | 52 |
42 Natural languages and notations | 56 |
43 Rendering the variables and parameters dimensionless | 58 |
44 Reducing the number of equations and simplifying them | 67 |
45 Getting partial insights into the form of the solution | 75 |
Subject index | 174 |
Name index | 178 |
184 | |
THE JAIL OF SHAPE | 194 |
THE MERE NOTION OF A MODEL | 210 |
Ut Simulacrum Poesis | 222 |
MANNERS MAKYTH MODELLERS | 240 |
HOW TO GET THE MOST OUT OF AN EQUATION WITHOUT REALLY TRYING | 250 |