Modeling Differential Equations in Biology
(Sprache: Englisch)
Drawing on a very successful one-semester course at Harvard, this text teaches students in the life sciences how to use differential equations. It is enriched with illustrative examples from real papers. Necessary ideas from mathematics are introduced as...
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Klappentext zu „Modeling Differential Equations in Biology “
Drawing on a very successful one-semester course at Harvard, this text teaches students in the life sciences how to use differential equations. It is enriched with illustrative examples from real papers. Necessary ideas from mathematics are introduced as and when needed, and in the context of applications.
Inhaltsverzeichnis zu „Modeling Differential Equations in Biology “
1. Introduction; 2. Exponential growth with appendix on Taylor's theorem; 3. Introduction to differential equations; 4. Stability in a one component system; 5. Systems of first order differential equations; 6. Phase plane analysis; 7. Introduction to vectors; 8. Equilibrium in two component, linear systems; 9. Stability in non-linear systems; 10. Non-linear stability again; 11. Matrix notation; 12. Remarks about Australian predators; 13. Introduction to advection; 14. Diffusion equations; 15. Two key properties of the advection and diffusion equations; 16. The no trawling zone; 17. Separation of variables; 18. The diffusion equation and pattern formation; 19. Stability criteria; 20. Summary of advection and diffusion; 21. Traveling waves; 22. Traveling wave velocities; 23. Periodic solutions; 24. Fast and slow; 25. Estimating elapsed time; 26. Switches; 27. Testing for periodicity; 28. Causes of chaos; Extra exercises and solutions; Index.
Bibliographische Angaben
- Autor: Clifford Henry Taubes
- 526 Seiten, Maße: 17,8 x 25,4 cm, Kartoniert (TB), Englisch
- Verlag: Cambridge University Press
- ISBN-10: 0521708435
- ISBN-13: 9780521708432
- Erscheinungsdatum: 21.07.2014
Sprache:
Englisch
Rezension zu „Modeling Differential Equations in Biology “
'Graduates of this course will be prepared to discuss the setup and structure of the underlying model, and to engage with the type of predictions that it can make. That's an admirable accomplishment for a book at this level! Moreover, equipping undergraduates with such a toolkit can open truly exciting doors for thinking about biology, a theme that runs throughout this text.' SIAM Review
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