Understanding Complex Biological Systems with Mathematics is popular PDF and ePub book, written by Ami Radunskaya in 2018-10-24, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Understanding Complex Biological Systems with Mathematics can be Read Online from any device for your convenience.
Understanding Complex Biological Systems with Mathematics Book PDF Summary
This volume examines a variety of biological and medical problems using mathematical models to understand complex system dynamics. Featured topics include autism spectrum disorder, ectoparasites and allogrooming, argasid ticks dynamics, super-fast nematocyst firing, cancer-immune population dynamics, and the spread of disease through populations. Applications are investigated with mathematical models using a variety of techniques in ordinary and partial differential equations, difference equations, Markov-chain models, Monte-Carlo simulations, network theory, image analysis, and immersed boundary method. Each article offers a thorough explanation of the methodologies used and numerous tables and color illustrations to explain key results. This volume is suitable for graduate students and researchers interested in current applications of mathematical models in the biosciences. The research featured in this volume began among newly-formed collaborative groups at the 2017 Women Advancing Mathematical Biology Workshop that took place at the Mathematical Biosciences Institute in Columbus, Ohio. The groups spent one intensive week working at MBI and continued their collaborations after the workshop, resulting in the work presented in this volume.
Detail Book of Understanding Complex Biological Systems with Mathematics PDF
- Author : Ami Radunskaya
- Release : 24 October 2018
- Publisher : Springer
- ISBN : 9783319980836
- Genre : Mathematics
- Total Page : 207 pages
- Language : English
- PDF File Size : 20,9 Mb
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