» » Dynamics of Biological Systems (Chapman & Hall/CRC Mathematical and Computational Biology)
eBook Dynamics of Biological Systems (Chapman & Hall/CRC Mathematical and Computational Biology) download
Engineering
Author: Michael Small
ISBN: 1439853363
Subcategory: Engineering
Pages 284 pages
Publisher Chapman and Hall/CRC; 1 edition (August 25, 2011)
Language English
Category: Engineering
Rating: 4.4
Votes: 286
ePUB size: 1329 kb
FB2 size: 1778 kb
DJVU size: 1290 kb
Other formats: azw doc lrf txt

eBook Dynamics of Biological Systems (Chapman & Hall/CRC Mathematical and Computational Biology) download

by Michael Small


Print Length: 278 pages.

He was previously an associate professor in the Department of Electronic and Information Engineering at HongKong Polytechnic University. Publication Date: August 25, 2011.

Series: Chapman & Hall/CRC Mathematical and Computational Biology (Book 42).

He was previously an associate professor in the Department of Electronic and Information Engineering at Hong Kong Polytechnic University. Series: Chapman & Hall/CRC Mathematical and Computational Biology (Book 42). Hardcover: 284 pages

The History of Mathematics and Its Applications - Продолжительность: 21:18 Zach Star Recommended for you.

The History of Mathematics and Its Applications - Продолжительность: 21:18 Zach Star Recommended for you. 21:18. спасали рибу втопили трактор.

It provides a simple mathematical framework which can be used to understand and even design biological circuits. The textavoids specialist terms. by. Uri Alon (Author).

This challenges the theoretical community to develop innovative methods for better interpreting experimental results. Normal Mode Analysis (NMA) is one such technique. Capable of providing unique insights into the structural and dynamical properties of complex systems, it is now finding a wide range of applications in chemical and biological problems.

Although the spatial dimension of ecosystem dynamics is now widely recognized, the specific mechanisms behind species patterning in space are still poorly understood and the corresponding theoretical framework is underdeveloped. Spanning biological, mathematical, computational, and engineering sciences, computational biofluiddynamics addresses a diverse family of problems involving fluid flow inside and around living organisms, organs, tissue, biological cells, and other biological materials.

The mathematical models and computer simulations offer insight into the dynamics of temporal and spatial biological systems, including cardiac pacemakers, artificial electrical defibrillation, pandemics, pattern formation, flocking behaviour, the interaction of autonomous agents, and hierarchical and structured network topologies. Tools from complex systems and complex networks are also presented for dealing with real phenomenological systems.

For biology, computational techniques have led to enormous strides in our understanding of biological systems .

For biology, computational techniques have led to enormous strides in our understanding of biological systems, but there is still vast territory to cover. Statistical physics especially holds great potential fo. aperback – 2019-10-23 Chapman and Hall/CRC Chapman & Hall/CRC Mathematical and Computational Biology. Computational Hydrodynamics of.

An Introduction to Systems Biology: Design Principles of Biological Circuits builds a solid. Game-Theoretical Models in Biology (Chapman & Hall/CRC Mathematical and Computational Biology). The Evolution of the Genome. 32 MB·19,257 Downloads·New!, detailed, expert-authored discussions of the key areas in genome biology. This includes the evolution. Computational Neuroscience: A Comprehensive Approach (Chapman & Hall/CRC Mathematical. 4 MB·169 Downloads·New!. 1-2-3 Magic: 3-Step Discipline for Calm, Effective, and Happy Parenting.

spectrum of mathematical and computational biology and medicine .

This series aims to capture new developments and summarize what is known over the entire spectrum of mathematical and computational biology and medicine. Ilya Shmulevich and Edward Dougherty cover real-world situations and explain their mathematical modeling in relation to systems biology and systems medicine.

From the spontaneous rapid firing of cortical neurons to the spatial diffusion of disease epidemics, biological systems exhibit rich dynamic behaviour over a vast range of time and space scales. Unifying many of these diverse phenomena, Dynamics of Biological Systems provides the computational and mathematical platform from which to understand the underlying processes of the phenomena.

Through an extensive tour of various biological systems, the text introduces computational methods for simulating spatial diffusion processes in excitable media, such as the human heart, as well as mathematical tools for dealing with systems of nonlinear ordinary and partial differential equations, such as neuronal activation and disease diffusion. The mathematical models and computer simulations offer insight into the dynamics of temporal and spatial biological systems, including cardiac pacemakers, artificial electrical defibrillation, pandemics, pattern formation, flocking behaviour, the interaction of autonomous agents, and hierarchical and structured network topologies. Tools from complex systems and complex networks are also presented for dealing with real phenomenological systems.

With exercises and projects in each chapter, this classroom-tested text shows students how to apply a variety of mathematical and computational techniques to model and analyze the temporal and spatial phenomena of biological systems. MATLAB® implementations of algorithms and case studies are available on the author’s website.