Complexity and Evolution of Dissipative Systems : An Analytical Approach.

By: Vakulenko, SergeyContributor(s): Antoniouk, Alexandra V | Melnik, Roderick V. NicolasMaterial type: TextTextSeries: De Gruyter Series in Mathematics and Life Sciences SerPublisher: Berlin/Boston : De Gruyter, Inc., 2013Copyright date: ©2014Description: 1 online resource (294 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9783110268287Subject(s): Attractors (Mathematics) | Biophysics | Chaotic behavior in systems | Energy dissipation | Mathematical physicsGenre/Form: Electronic books.Additional physical formats: Print version:: Complexity and Evolution of Dissipative Systems : An Analytical ApproachDDC classification: 003 LOC classification: QC20.V24 2014ebOnline resources: Click to View
Contents:
Intro -- Preface -- Contents -- 1. Introduction -- 2. Complex dynamics in neural and genetic networks -- 3. Complex patterns and attractors for reaction-diffusion systems -- 4. Random perturbations, evolution and complexity -- Bibliography -- Index.
Summary: The De Gruyter Series in Mathematics and Life Sciences is devoted to the publication of monographs in the field. They cover topics and methods in fields of current interest that use mathematical approaches to understand and explain, model and influence phenomena in all areas of life sciences. This includes, among others, theory and application of biological mathematical modeling, complex systems biology, bioinformatics, computational biomodeling stochastic modeling, biostatistics, computational evolutionary biology, comparative genomics, or structural bioinformatics. Also, new types of mathematical problems that arise from biological knowledge shall be covered.
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Intro -- Preface -- Contents -- 1. Introduction -- 2. Complex dynamics in neural and genetic networks -- 3. Complex patterns and attractors for reaction-diffusion systems -- 4. Random perturbations, evolution and complexity -- Bibliography -- Index.

The De Gruyter Series in Mathematics and Life Sciences is devoted to the publication of monographs in the field. They cover topics and methods in fields of current interest that use mathematical approaches to understand and explain, model and influence phenomena in all areas of life sciences. This includes, among others, theory and application of biological mathematical modeling, complex systems biology, bioinformatics, computational biomodeling stochastic modeling, biostatistics, computational evolutionary biology, comparative genomics, or structural bioinformatics. Also, new types of mathematical problems that arise from biological knowledge shall be covered.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2018. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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