Name: Mathematical Methods for Analysis of a Complex Disease (en Inglés)
SKU: 67464969
Price: 54.90 USD
Availability: InStock
Author: Frank C. Hoppensteadt

portada Mathematical Methods for Analysis of a Complex Disease (en Inglés)

Mathematical Methods for Analysis of a Complex Disease (en Inglés)

Formato

Libro Físico

Editorial

American Mathematical Society

Autor

Frank C. Hoppensteadt

Colección

Courant Lecture Notes

Año

2011

Idioma

Inglés

N° páginas

149

Encuadernación

Tapa Blanda

ISBN13

9780821872864

Mathematical Methods for Analysis of a Complex Disease (en Inglés)

Frank C. Hoppensteadt (Autor) · American Mathematical Society · Tapa Blanda

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Reseña del libro "Mathematical Methods for Analysis of a Complex Disease (en Inglés)"

Provides background in mathematical and computational methods to enable the reader to better understand complex systems in biology, medicine, and the life sciences. It introduces concepts in mathematics to study population phenomena with the goal of describing complicated aspects of a disease, such as malaria, involving several species.

Complex diseases involve most aspects of population biology, including genetics, demographics, epidemiology, and ecology. Mathematical methods, including differential, difference, and integral equations, numerical analysis, and random processes, have been used effectively in all of these areas. The aim of this book is to provide sufficient background in such mathematical and computational methods to enable the reader to better understand complex systems in biology, medicine, and the life sciences. It introduces concepts in mathematics to study population phenomena with the goal of describing complicated aspects of a disease, such as malaria, involving several species. The book is based on a graduate course in computational biology and applied mathematics taught at the Courant Institute of Mathematical Sciences in fall 2010. The mathematical level is kept to essentially advanced undergraduate mathematics, and the results in the book are intended to provide readers with tools for performing more in-depth analysis of population phenomena.