9781420066418-1420066412-Dynamical Systems for Biological Modeling: An Introduction (Advances in Applied Mathematics)

Dynamical Systems for Biological Modeling: An Introduction (Advances in Applied Mathematics)

ISBN-13: 9781420066418
ISBN-10: 1420066412
Edition: 1
Author: Fred Brauer, Christopher Kribs
Publication date: 2015
Publisher: Chapman and Hall/CRC
Format: Hardcover 492 pages
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Book details

ISBN-13: 9781420066418
ISBN-10: 1420066412
Edition: 1
Author: Fred Brauer, Christopher Kribs
Publication date: 2015
Publisher: Chapman and Hall/CRC
Format: Hardcover 492 pages

Summary

Dynamical Systems for Biological Modeling: An Introduction (Advances in Applied Mathematics) (ISBN-13: 9781420066418 and ISBN-10: 1420066412), written by authors Fred Brauer, Christopher Kribs, was published by Chapman and Hall/CRC in 2015. With an overall rating of 4.5 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent Dynamical Systems for Biological Modeling: An Introduction (Advances in Applied Mathematics) (Hardcover, Used) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

Dynamical Systems for Biological Modeling: An Introduction prepares both biology and mathematics students with the understanding and techniques necessary to undertake basic modeling of biological systems. It achieves this through the development and analysis of dynamical systems.

The approach emphasizes qualitative ideas rather than explicit computations. Some technical details are necessary, but a qualitative approach emphasizing ideas is essential for understanding. The modeling approach helps students focus on essentials rather than extensive mathematical details, which is helpful for students whose primary interests are in sciences other than mathematics need or want.

The book discusses a variety of biological modeling topics, including population biology, epidemiology, immunology, intraspecies competition, harvesting, predator-prey systems, structured populations, and more.

The authors also include examples of problems with solutions and some exercises which follow the examples quite closely. In addition, problems are included which go beyond the examples, both in mathematical analysis and in the development of mathematical models for biological problems, in order to encourage deeper understanding and an eagerness to use mathematics in learning about biology.

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