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eBook Dynamic Models in Biology ePub

by John Guckenheimer,Stephen P. Ellner

eBook Dynamic Models in Biology ePub
Author: John Guckenheimer,Stephen P. Ellner
Language: English
ISBN: 0691125899
ISBN13: 978-0691125893
Publisher: Princeton University Press; 1 edition (April 16, 2006)
Pages: 352
Category: Science & Mathematics
Subcategory: Other
Rating: 4.8
Votes: 982
Formats: rtf mobi mbr lit
ePub file: 1625 kb
Fb2 file: 1906 kb

Dynamic Models in Biology stands apart from existing textbooks in mathematical biology largely because of its interdisciplinary approach and its hands-on, project-oriented case studies and computer laboratories. In an effort to explore biology in more detail, the authors bravely chose a style that differs from the classical biomath texts. whose focus is more on formal mathematics. -Lewi Stone, BioScience.

Dynamic Models in Biology stands apart from existing textbooks in mathematical biology largely because of its . This book is written with the reality of biology students and their apprehension about mathematics in mind.

Dynamic Models in Biology stands apart from existing textbooks in mathematical biology largely because of its interdisciplinary approach and its hands-on, project-oriented case studies and computer laboratories. The applications of mathematical models to real biological problems are not contrived, as they are in a number of other texts.

In Dynamic Models in Biology, the first text on dynamic models specifically written for undergraduate students in the biological sciences, ecologist Stephen Ellner and mathematician John Guckenheimer teach students how to understand, build, and use dynamic models in biology. Developed from a course taught by Ellner and Guckenheimer at Cornell University, the book is organized around biological applications, with mathematics and computing developed through case studies at the molecular, cellular, and population levels.

Электронная книга "Dynamic Models in Biology", Stephen P. Ellner, John Guckenheimer. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Dynamic Models in Biology" для чтения в офлайн-режиме.

Dynamic Models in Biology. Stephen P. Ellner and John Guckenheimer. tudents from both biology and mathematics can gain much from this book. Dynamic Models in Biology would be appropriate for use in a semester or two-quarter course; however, with judicious selection of topics, it can be used in a quarter. My students included undergraduates in biology with knowledge only of calculus, undergraduates in mathematics, and graduate students and academic staff in biology, all enrolled on a ten-week course. Overall, Dynamic Models in Biology fills an important niche in the biological modeling canon.

Автор: Ellner, Stephen P. Guckenheimer, John Название: Dynamic models in. .Описание: This introductory textbook on mathematical biology focuses on discrete models across a variety of biological subdisciplines.

Описание: This introductory textbook on mathematical biology focuses on discrete models across a variety of biological subdisciplines.

by John Guckenheimer, Stephen P. Ellner. Published by: Princeton University Press. The authors cover both simple analytic models-the sort usually found in mathematical biology texts-and the complex computational models now used by both biologists and mathematicians.

For the model, five threshold parameters are defined, which determine the dynamical behaviors of the model. We prove that, if R01≤1, then the disease-free equilibrium is globally asymptotically stable and the disease eventually disappears; if R01 ;1, R02 ≤1 and R03 ≤1, then the immune-free equilibrium is globally.

Источник: BioScience. Mar2007, Vol. 57 Issue 3, p290-292. 3p. Предметы: DYNAMIC Models in Biology (Book), ELLNER, Stephen . GUCKENHEIMER, John, BIOLOGY, NONFICTION. Читать онлайн PDF-полный текст. Добавить в избранное. Добавлено в списки: Book.

From controlling disease outbreaks to predicting heart attacks, dynamic models are increasingly crucial for understanding biological processes. Many universities are starting undergraduate programs in computational biology to introduce students to this rapidly growing field. In Dynamic Models in Biology, the first text on dynamic models specifically written for undergraduate students in the biological sciences, ecologist Stephen Ellner and mathematician John Guckenheimer teach students how to understand, build, and use dynamic models in biology.

Developed from a course taught by Ellner and Guckenheimer at Cornell University, the book is organized around biological applications, with mathematics and computing developed through case studies at the molecular, cellular, and population levels. The authors cover both simple analytic models--the sort usually found in mathematical biology texts--and the complex computational models now used by both biologists and mathematicians.

Linked to a Web site with computer-lab materials and exercises, Dynamic Models in Biology is a major new introduction to dynamic models for students in the biological sciences, mathematics, and engineering.

Hiclerlsi
This book is excellent at describing the utility of models for ecologists. It describes the theory and application. Unlike many others, it also describes the limitations. It is written in such as way that it is useful for novices to experienced statisticians.
Wrathshaper
Although I found most of the chapters were not relevant to what I am doing, chapters 1;2;8;9 were right on the money. Really helped me in my PhD research.
Wanenai
The book is in good shape and it came on time. No pages ripped, no highlights, very nice.
Ffel
This is an excellent book for students or faculty interested in learning more about the current state of the art in modeling of biological systems. The authors make a great effort to keep the mathematical sophistication at a level that students (or faculty) who primarily have a biological background will still be able to follow in some detail. They are also able to suggest some of the exciting current areas of research and new areas for the future. All in all, well worth reading if you are interested in the topic of modeling of biological systems.
ALAN
This book is a gem! It a book where biology cases give context to a lot of mathematical concepts. Written in an easy to understand language. I highly recommend it to students at all levels.
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