Mathematical Models in Biology 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Mathematical Models in Biology

简体网页||繁体网页
Leah Edelstein-Keshet 作者
Society for Industrial and Applied Mathematics
译者
2005 出版日期
586 页数
USD 54.50 价格
Paperback
丛书系列
9780898715545 图书编码

Mathematical Models in Biology 在线电子书 图书标签: 数学  英文原版  生物科学  生物  数学生物学  教材  Mathematics  MathematicalBiology   


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Mathematical Models in Biology 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Mathematical Models in Biology 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Mathematical Models in Biology 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Preliminary, yet still exciting lead to an advanced modelling seminar in the Ural mountains & Arctic drainage basins.

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Preliminary, yet still exciting lead to an advanced modelling seminar in the Ural mountains & Arctic drainage basins.

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Preliminary, yet still exciting lead to an advanced modelling seminar in the Ural mountains & Arctic drainage basins.

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Preliminary, yet still exciting lead to an advanced modelling seminar in the Ural mountains & Arctic drainage basins.

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Preliminary, yet still exciting lead to an advanced modelling seminar in the Ural mountains & Arctic drainage basins.

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Mathematical Models in Biology is an introductory book for readers interested in biological applications of mathematics and modeling in biology. Connections are made between diverse biological examples linked by common mathematical themes, exploring a variety of discrete and continuous ordinary and partial differential equation models. Although great advances have taken place in many of the topics covered, the simple lessons contained in Mathematical Models in Biology are still important and informative. Shortly after the first publication of Mathematical Models in Biology, the genomics revolution turned Mathematical Biology into a prominent area of interdisciplinary research. In this new millennium, biologists have discovered that mathematics is not only useful, but indispensable! As a result, there has been much resurgent interest in, and a huge expansion of, the fields collectively called mathematical biology. This book serves as a basic introduction to concepts in deterministic biological modeling.

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