Complexity and Evolution of Dissipative Systems : An Analytical Approach
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| Title: | Complexity and Evolution of Dissipative Systems : An Analytical Approach |
|---|---|
| Description: | This book focuses on the dynamic complexity of neural, genetic networks, and reaction diffusion systems. The author shows that all robust attractors can be realized in dynamics of such systems. In particular, a positive solution of the Ruelle-Takens hypothesis for on chaos existence for large class of reaction-diffusion systems is given. The book considers viability problems for such systems - viability under extreme random perturbations - and discusses an interesting hypothesis of M. Gromov and A. Carbone on biological evolution. There appears a connection with the Kolmogorov complexity theory. As applications, transcription-factors-microRNA networks are considered, patterning in biology, a new approach to estimate the computational power of neural and genetic networks, social and economical networks, and a connection with the hard combinatorial problems. |
| Authors: | Sergey Vakulenko |
| Resource Type: | eBook. |
| Subjects: | Diffusion, Chaotic behavior in systems, System theory, Mathematical models, Energy dissipation, Mathematical physics, Attractors (Mathematics), Biophysics |
| Categories: | MATHEMATICS / Applied, MATHEMATICS / Differential Equations / General, MATHEMATICS / Discrete Mathematics, MATHEMATICS / Combinatorics, SCIENCE / Life Sciences / Biophysics, SCIENCE / Life Sciences / Molecular Biology, SCIENCE / Mechanics / Fluids |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
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| Header | DbId: nlebk DbLabel: eBook Collection (EBSCOhost) An: 674369 RelevancyScore: 1051 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 1050.81640625 |
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| Items | – Name: Title Label: Title Group: Ti Data: Complexity and Evolution of Dissipative Systems : An Analytical Approach – Name: Abstract Label: Description Group: Ab Data: This book focuses on the dynamic complexity of neural, genetic networks, and reaction diffusion systems. The author shows that all robust attractors can be realized in dynamics of such systems. In particular, a positive solution of the Ruelle-Takens hypothesis for on chaos existence for large class of reaction-diffusion systems is given. The book considers viability problems for such systems - viability under extreme random perturbations - and discusses an interesting hypothesis of M. Gromov and A. Carbone on biological evolution. There appears a connection with the Kolmogorov complexity theory. As applications, transcription-factors-microRNA networks are considered, patterning in biology, a new approach to estimate the computational power of neural and genetic networks, social and economical networks, and a connection with the hard combinatorial problems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sergey+Vakulenko%22">Sergey Vakulenko</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Diffusion%22">Diffusion</searchLink><br /><searchLink fieldCode="DE" term="%22Chaotic+behavior+in+systems%22">Chaotic behavior in systems</searchLink><br /><searchLink fieldCode="DE" term="%22System+theory%22">System theory</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+dissipation%22">Energy dissipation</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+physics%22">Mathematical physics</searchLink><br /><searchLink fieldCode="DE" term="%22Attractors+%28Mathematics%29%22">Attractors (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Biophysics%22">Biophysics</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22MATHEMATICS+%2F+Applied%22">MATHEMATICS / Applied</searchLink><br /><searchLink fieldCode="ZK" term="%22MATHEMATICS+%2F+Differential+Equations+%2F+General%22">MATHEMATICS / Differential Equations / General</searchLink><br /><searchLink fieldCode="ZK" term="%22MATHEMATICS+%2F+Discrete+Mathematics%22">MATHEMATICS / Discrete Mathematics</searchLink><br /><searchLink fieldCode="ZK" term="%22MATHEMATICS+%2F+Combinatorics%22">MATHEMATICS / Combinatorics</searchLink><br /><searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Life+Sciences+%2F+Biophysics%22">SCIENCE / Life Sciences / Biophysics</searchLink><br /><searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Life+Sciences+%2F+Molecular+Biology%22">SCIENCE / Life Sciences / Molecular Biology</searchLink><br /><searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Mechanics+%2F+Fluids%22">SCIENCE / Mechanics / Fluids</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 003 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Diffusion Type: general – SubjectFull: Chaotic behavior in systems Type: general – SubjectFull: System theory Type: general – SubjectFull: Mathematical models Type: general – SubjectFull: Energy dissipation Type: general – SubjectFull: Mathematical physics Type: general – SubjectFull: Attractors (Mathematics) Type: general – SubjectFull: Biophysics Type: general Titles: – TitleFull: Complexity and Evolution of Dissipative Systems : An Analytical Approach Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sergey Vakulenko – PersonEntity: Name: NameFull: Sergey Vakulenko IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2013 – D: 21 M: 03 Type: profile Y: 2014 Identifiers: – Type: isbn-print Value: 9783110266481 – Type: isbn-electronic Value: 9783110268287 Numbering: – Type: volume Value: 00004 Titles: – TitleFull: Complexity and Evolution of Dissipative Systems : An Analytical Approach Type: main |
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