Compartmental Modeling with Networks

Gilbert G Walter, Martha Contreras (Autoren)

Buch | Hardcover

250 Seiten

1999 | 1999 ed.
Birkhauser Boston Inc (Verlag)
978-0-8176-4019-4 (ISBN)

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The subject of mathematical modeling has expanded considerably in the past twenty years. This is in part due to the appearance of the text by Kemeny and Snell, "Mathematical Models in the Social Sciences," as well as the one by Maki and Thompson, "Mathematical Models and Applica tions. " Courses in the subject became a widespread if not standard part of the undergraduate mathematics curriculum. These courses included var ious mathematical topics such as Markov chains, differential equations, linear programming, optimization, and probability. However, if our own experience is any guide, they failed to teach mathematical modeling; that is, few students who completed the course were able to carry out the mod eling paradigm in all but the simplest cases. They could be taught to solve differential equations or find the equilibrium distribution of a regular Markov chain, but could not, in general, make the transition from "real world" statements to their mathematical formulation. The reason is that this process is very difficult, much more difficult than doing the mathemat ical analysis. After all, that is exactly what engineers spend a great deal of time learning to do. But they concentrate on very specific problems and rely on previous formulations of similar problems. It is unreasonable to expect students to learn to convert a large variety of real-world problems to mathematical statements, but this is what these courses require.

1 Introduction and Simple Examples.- 2 Digraphs and Graphs: Definitions and Examples.- 3 A Little Simple Graph Theory.- 4 Orientation of Graphs and Related Properties.- 5 Tournaments.- 6 Planar Graphs.- 7 Graphs and Matrices.- 8 Introduction to Markov Chains.- 9 Classification of Markov Chains.- 10 Regular Markov Chains.- 11 Absorbing Markov Chains.- 12 From Markov Chains to Compartmental Models.- 13 Introduction to Compartmental Models.- 14 Models for the Spread of Epidemics.- 15 Three Traditional Examples as Compartmental Models.- 16 Ecosystem Models.- 17 Fisheries Models.- 18 Drug Kinetics.- 19 Basic Properties of Linear Models.- 20 Structure and Dynamical Properties.- 21 Identifiability of a Compartmental System.- 22 Parameter Estimation.- 23 Complexity and Stability.- A Mathematical Prerequisites.- A.1 Matrix Operations.- A.2 Finding Eigenvalues and Eigenvectors.- A.3 Systems of Differential Equations.- A.4 Matrices with Maple.

Reihe/Serie	Modeling and Simulation in Science, Engineering and Technology
Zusatzinfo	XVIII, 250 p.
Verlagsort	Secaucus
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
Themenwelt	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
ISBN-10	0-8176-4019-3 / 0817640193
ISBN-13	978-0-8176-4019-4 / 9780817640194
Zustand	Neuware