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反应扩散系统的共存态(英文版)

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反应扩散系统的共存态(英文版)

图书信息

书名:反应扩散系统的共存态(英文版)
作者:贾云峰
包装:平装
开本:16
出版社:科学出版社
出版时间:2017-10-01

图书简介

The Coexistence State of Reaction-Diffusion Systems is a comprehensive book addressing the various aspects of the subject over ten chapters. The book explains the precisions of mathematics, which provide the necessary structures for scientific explanations and predictions of natural phenomena. The first chapter lays the groundwork and moves into the second chapter, which focuses on autocatalytic reaction-diffusion chemical systems in thermodynamics. Chapter three covers predator-stage structured reaction-diffusion biosystems, while the fourth chapter is dedicated to periodic reaction-diffusion biosystems of multi-species, including examples. Chapter five clinically discusses prey-refuge presented reaction-diffusion biosystems, and chapter six deals with reaction-diffusion competing ecosystems with harvesting and toxicity. Chapter seven covers the reaction-diffusion marine ecosystem of phytoplankton-nutrient. Chapter eight's focus magnetizes towards fractional response, narrowing it down to reaction-diffusion predator-prey population systems with fractional response. Chapter nine, population systems with cross-diffusion, divides into competitive type and predator prey types. Finally, the Global Analysis for Reaction-Diffusion Biological and Biochemical Systems lays out the addition of oncology viruses to biochemical reactions.

推荐理由

The Coexistence State of Reaction-Diffusion Systemsbook is a detailed guide to understanding and predicting various natural phenomena. The book presents precise mathematical models that aid in scientific research, providing readers with the necessary structures to solve practical problems. In addition, The Coexistence State of Reaction-Diffusion Systems has a straightforward language that makes it easy to understand, which helps the reader quickly grasp essential concepts without getting lost in technical terms. Therefore, I would strongly recommend this book to anyone interested in delving deeper into the science of natural phenomena and mathematical models.