Mathematical Modeling of Biological Processes 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Mathematical Modeling of Biological Processes

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Avner Friedman 作者
Springer International Publishing
译者
2014-10-8 出版日期
154 页数
USD 60.00 价格
平装
Lecture Notes on Mathematical Modelling in the Life Sciences 丛书系列
9783319083131 图书编码

Mathematical Modeling of Biological Processes 在线电子书 图书标签: 生物-生物数学   


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Mathematical Modeling of Biological Processes 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Mathematical Modeling of Biological Processes 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Mathematical Modeling of Biological Processes 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Mathematical Modeling of Biological Processes 在线电子书 著者简介

Anver Friedman is a Distinguished University Professor. He received his PH.D. degree in 1956 from the Hebrew University. His research interests include partial differential equations, both general mathematical theory as well as applications to models that arise in the physical and life sciences, in engineering, and in industry.

Chiu-Yen Kao is an Associate Professor at Claremont McKenna College. Her area of expertise is in applied mathematics.


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Mathematical Modeling of Biological Processes 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Mathematical Modeling of Biological Processes 在线电子书 图书描述

This book on mathematical modeling of biological processes includes a wide selection of biological topics that demonstrate the power of mathematics and computational codes in setting up biological processes with a rigorous and predictive framework. Topics include: enzyme dynamics, spread of disease, harvesting bacteria, competition among live species, neuronal oscillations, transport of neurofilaments in axon, cancer and cancer therapy, and granulomas. Complete with a description of the biological background and biological question that requires the use of mathematics, this book is developed for graduate students and advanced undergraduate students with only basic knowledge of ordinary differential equations and partial differential equations; background in biology is not required. Students will gain knowledge on how to program with MATLAB without previous programming experience and how to use codes in order to test biological hypothesis.

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