An Introduction to Mathematical Modeling of Infectious Diseases: Mathematics of Planet Earth, cartea 2
Autor Michael Y. Lien Limba Engleză Hardback – 8 feb 2018
It is primarily written for upper undergraduate and beginning graduate students in mathematical sciences who have an interest in mathematical modeling of infectious diseases. Although written in a rigorous mathematical manner, the style is not unfriendly to non-mathematicians.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 370.01 lei 6-8 săpt. | |
Springer International Publishing – 4 iun 2019 | 370.01 lei 6-8 săpt. | |
Hardback (1) | 269.51 lei 17-24 zile | +25.85 lei 7-13 zile |
Springer International Publishing – 8 feb 2018 | 269.51 lei 17-24 zile | +25.85 lei 7-13 zile |
Din seria Mathematics of Planet Earth
- Preț: 367.20 lei
- Preț: 431.33 lei
- Preț: 378.62 lei
- Preț: 378.62 lei
- Preț: 168.09 lei
- Preț: 369.00 lei
- 24% Preț: 756.20 lei
- Preț: 347.11 lei
- Preț: 348.02 lei
- 18% Preț: 708.39 lei
- 18% Preț: 759.47 lei
- 18% Preț: 921.99 lei
- 15% Preț: 627.62 lei
- 15% Preț: 677.04 lei
- 15% Preț: 623.79 lei
- 18% Preț: 872.05 lei
- 29% Preț: 429.25 lei
Preț: 269.51 lei
Preț vechi: 328.68 lei
-18% Nou
Puncte Express: 404
Preț estimativ în valută:
51.58€ • 54.25$ • 42.96£
51.58€ • 54.25$ • 42.96£
Carte disponibilă
Livrare economică 09-16 decembrie
Livrare express 29 noiembrie-05 decembrie pentru 35.84 lei
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783319721217
ISBN-10: 3319721216
Pagini: 140
Ilustrații: X, 156 p. 50 illus.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.42 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Mathematics of Planet Earth
Locul publicării:Cham, Switzerland
ISBN-10: 3319721216
Pagini: 140
Ilustrații: X, 156 p. 50 illus.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.42 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Mathematics of Planet Earth
Locul publicării:Cham, Switzerland
Cuprins
Important Concepts.- Five Classic Examples.- Basic Tools.- Nonlinear Least Squares.- Special Topics.
Recenzii
“The purpose is to present the proper expertise and techniques for the study of infectious disease either via self‐study or as a semester course. … This is an excellent resource for undergraduates, graduates, public health science students, or anyone interested in mathematical modeling. Although the examples mostly pertain to infectious diseases, the book could be applicable to various fields. I highly recommend this book, especially to the targeted audience.” (Puja Sitwala, Doody's Book Reviews, April, 2018)
“This book is a unique contribution to Springer's Mathematics of Planet Earth series, in which I have indulged myself for the past few weeks. It is suitable for upper undergraduate and beginning graduate students who are interested in mathematical modeling of epidemics.” (Yilun Shang, zbMATH 1396.92003, 2018)
Notă biografică
Michael Y. Li is a Professor of Mathematics at the University of Alberta, Canada. His research includes mathematical theory of differential equations and dynamical systems, mathematical modeling of immune systems, and mathematical modeling in public health sciences.
Textul de pe ultima copertă
This text provides essential modeling skills and methodology for the study of infectious diseases through a one-semester modeling course or directed individual studies. The book includes mathematical descriptions of epidemiological concepts, and uses classic epidemic models to introduce different mathematical methods in model analysis. Matlab codes are also included for numerical implementations.
It is primarily written for upper undergraduate and beginning graduate students in mathematical sciences who have an interest in mathematical modeling of infectious diseases. Although written in a rigorous mathematical manner, the style is not unfriendly to non-mathematicians.
Caracteristici
Uses five classic epidemic models to introduce different mathematical methods in model analysis Provides a chapter on general theory of stability analysis for differential equations Includes Matlab codes for numerical implementation Accessible to non-mathematicians