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Chemical Kinetics, Stochastic Processes, and Irreversible Thermodynamics by Moisés Santillán

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Chemical Kinetics, Stochastic Processes, and Irreversible Thermodynamics

2014th Edition

Moisés Santillán, Moises Santillan

Springer/Sci-Tech/Trade · Print & ebook · July 17, 2014

Reading lane: Mathematics

This book brings theories in nonlinear dynamics, stochastic processes, irreversible thermodynamics, physical chemistry and biochemistry together in an introductory but formal and comprehensive manner.

At a Glance

Who It's For

Good for readers who enjoy MathematicsGood for readers who enjoy Mathematics and Probability & Statistics / General.

Book Details

Authors
Moisés Santillán, Moises Santillan
Publisher
Springer/Sci-Tech/Trade
Published
July 17, 2014
Format
Print & ebook
Theme
Mathematics · Probability & Statistics / General
Reading lane
Mathematics

Affinity

Publisher Categories

  • Mathematics

  • Probability & Statistics / General

  • Clinical Medicine

About This Book

This book brings theories in nonlinear dynamics, stochastic processes, irreversible thermodynamics, physical chemistry and biochemistry together in an introductory but formal and comprehensive manner. Coupled with examples, the theories are developed stepwise, starting with the simplest concepts and building upon them into a more general framework. Furthermore, each new mathematical derivation is immediately applied to one or more biological systems. The last chapters focus...

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This book brings theories in nonlinear dynamics, stochastic processes, irreversible thermodynamics, physical chemistry and biochemistry together in an introductory but formal and comprehensive manner. Coupled with examples, the theories are developed stepwise, starting with the simplest concepts and building upon them into a more general framework. Furthermore, each new mathematical derivation is immediately applied to one or more biological systems. The last chapters focus on applying mathematical and physical techniques to study systems such as: gene regulatory networks and molecular motors. The target audience of this book are mainly final year undergraduate and graduate students with a solid mathematical background (physicists, mathematicians and engineers), as well as with basic notions of biochemistry and cellular biology. This book can also be useful to students with a biological background who are interested in mathematical modeling and have a working knowledge of calculus, differential equations and a basic understanding of probability theory.

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