Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/1852
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dc.contributor.authorAranson, Igor S. ;en_US
dc.contributor.authorPikovsky, Arkady. ;en_US
dc.contributor.authorRulkov, Nikolai F. ;en_US
dc.contributor.authorTeeSimring, L. Sh. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:33:22Z-
dc.date.available2020-05-17T08:33:22Z-
dc.date.issued2017en_US
dc.identifier.isbn9783319536736 ;en_US
dc.identifier.isbn9783319536729 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1852-
dc.descriptionPrinted edition: ; 9783319536729. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis book focuses on recent progress in complexity research based on the fundamental nonlinear dynamical and statistical theory of oscillations, waves, chaos, and structures far from equilibrium. Celebrating seminal contributions to the field by Prof. M. I. Rabinovich of the University of California at San Diego, this volume brings together perspectives on both the fundamental aspects of complexity studies, as well as in applications in different fields ranging from granular patterns to understanding of the cognitive brain and mind dynamics. The slate of world-class authors review recent achievements that together present a broad and coherent coverage of modern research in complexity greater than the sum of its parts. Presents the most up-to-date developments in the studies of complexity Combines basic and applied aspects Links background nonlinear theory of oscillations and waves with modern approaches Allows readers to recognize general dynamical principles across the applications fields. ;en_US
dc.description.statementofresponsibilityedited by Igor S. Aranson, Arkady Pikovsky, Nikolai F. Rulkov, Lev S. Tsimring.en_US
dc.description.tableofcontentsPart I: Chaos and Dynamics -- 1. Weak Transient Chaos -- 2. Lorenz type attractor in electronic parametric generator and its transformation outside the parametric resonance -- 3. Time Rescaling of Lyapunov Exponents -- 4. Unraveling the Chaos-land and its organization in the Rabinovich System -- 5. Anomalous transport in steady plane viscous flows: simple models -- Part II: Synchronization and Networks -- 6. Coherence-incoherence transition and properties of dierent types of chimeras in a network of nonlocally coupled chaotic maps -- 7. Regular and Chaotic Transition to Synchrony in a Star Configuration of Phase Oscillators -- 8. LotkaeeVolterra like Dynamics in Phase Oscillator Networks -- 9. Intrinsic Stability, Time Delays and Transformations of Dynamical Networks -- 10. Discovering, Constructing, and Analyzing Synchronous Clusters of Oscillators in a Complex Network using Symmetries -- 11. When repulsive inhibition promotes synchrony of bursting neurons: Help from the enemy -- Part III: Brain -- 12. The variational principles of cognition -- 13. Olfactory computation in insects -- 14. Respiratory Neural Network: Activity and Connectivity -- 15. Dynamics of odor-evoked activity patterns in the olfactory system -- 16. Dynamics of Intermittent Synchronization of Neural Activity -- Part IV: Waves -- 17. Vortices termination in the cardiac muscle -- 18. KDV soliton gas: interactions and turbulence -- 19. Multi-lump structures in the KadomtseveePetviashvili equation. ;en_US
dc.format.extentXIX, 329 p. 123 illus., 81 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesNonlinear Systems and Complexity, ; 2195-9994 ; ; 20. ;en_US
dc.relation.ispartofseriesNonlinear Systems and Complexity, ; 2195-9994 ; ; 20. ;en_US
dc.relation.haspart9783319536736.pdfen_US
dc.subjectEngineeringen_US
dc.subjectPattern recognition. ;en_US
dc.subjectSystem theory. ;en_US
dc.subjectComplexity, Computational. ;en_US
dc.subjectEngineeringen_US
dc.subjectComplexity. ;en_US
dc.subjectPattern Recognition. ;en_US
dc.subjectApplications of Nonlinear Dynamics and Chaos Theory. ;en_US
dc.subjectComplex Systems. ;en_US
dc.titleAdvances in Dynamics, Patterns, Cognitionen_US
dc.title.alternativeChallenges in Complexity /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
dc.classification.lcQA76.9.M35 ;en_US
dc.classification.dc620 ; 23 ;en_US
Appears in Collections:مهندسی فناوری اطلاعات

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Full metadata record
DC FieldValueLanguage
dc.contributor.authorAranson, Igor S. ;en_US
dc.contributor.authorPikovsky, Arkady. ;en_US
dc.contributor.authorRulkov, Nikolai F. ;en_US
dc.contributor.authorTeeSimring, L. Sh. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:33:22Z-
dc.date.available2020-05-17T08:33:22Z-
dc.date.issued2017en_US
dc.identifier.isbn9783319536736 ;en_US
dc.identifier.isbn9783319536729 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1852-
dc.descriptionPrinted edition: ; 9783319536729. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis book focuses on recent progress in complexity research based on the fundamental nonlinear dynamical and statistical theory of oscillations, waves, chaos, and structures far from equilibrium. Celebrating seminal contributions to the field by Prof. M. I. Rabinovich of the University of California at San Diego, this volume brings together perspectives on both the fundamental aspects of complexity studies, as well as in applications in different fields ranging from granular patterns to understanding of the cognitive brain and mind dynamics. The slate of world-class authors review recent achievements that together present a broad and coherent coverage of modern research in complexity greater than the sum of its parts. Presents the most up-to-date developments in the studies of complexity Combines basic and applied aspects Links background nonlinear theory of oscillations and waves with modern approaches Allows readers to recognize general dynamical principles across the applications fields. ;en_US
dc.description.statementofresponsibilityedited by Igor S. Aranson, Arkady Pikovsky, Nikolai F. Rulkov, Lev S. Tsimring.en_US
dc.description.tableofcontentsPart I: Chaos and Dynamics -- 1. Weak Transient Chaos -- 2. Lorenz type attractor in electronic parametric generator and its transformation outside the parametric resonance -- 3. Time Rescaling of Lyapunov Exponents -- 4. Unraveling the Chaos-land and its organization in the Rabinovich System -- 5. Anomalous transport in steady plane viscous flows: simple models -- Part II: Synchronization and Networks -- 6. Coherence-incoherence transition and properties of dierent types of chimeras in a network of nonlocally coupled chaotic maps -- 7. Regular and Chaotic Transition to Synchrony in a Star Configuration of Phase Oscillators -- 8. LotkaeeVolterra like Dynamics in Phase Oscillator Networks -- 9. Intrinsic Stability, Time Delays and Transformations of Dynamical Networks -- 10. Discovering, Constructing, and Analyzing Synchronous Clusters of Oscillators in a Complex Network using Symmetries -- 11. When repulsive inhibition promotes synchrony of bursting neurons: Help from the enemy -- Part III: Brain -- 12. The variational principles of cognition -- 13. Olfactory computation in insects -- 14. Respiratory Neural Network: Activity and Connectivity -- 15. Dynamics of odor-evoked activity patterns in the olfactory system -- 16. Dynamics of Intermittent Synchronization of Neural Activity -- Part IV: Waves -- 17. Vortices termination in the cardiac muscle -- 18. KDV soliton gas: interactions and turbulence -- 19. Multi-lump structures in the KadomtseveePetviashvili equation. ;en_US
dc.format.extentXIX, 329 p. 123 illus., 81 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesNonlinear Systems and Complexity, ; 2195-9994 ; ; 20. ;en_US
dc.relation.ispartofseriesNonlinear Systems and Complexity, ; 2195-9994 ; ; 20. ;en_US
dc.relation.haspart9783319536736.pdfen_US
dc.subjectEngineeringen_US
dc.subjectPattern recognition. ;en_US
dc.subjectSystem theory. ;en_US
dc.subjectComplexity, Computational. ;en_US
dc.subjectEngineeringen_US
dc.subjectComplexity. ;en_US
dc.subjectPattern Recognition. ;en_US
dc.subjectApplications of Nonlinear Dynamics and Chaos Theory. ;en_US
dc.subjectComplex Systems. ;en_US
dc.titleAdvances in Dynamics, Patterns, Cognitionen_US
dc.title.alternativeChallenges in Complexity /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
dc.classification.lcQA76.9.M35 ;en_US
dc.classification.dc620 ; 23 ;en_US
Appears in Collections:مهندسی فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319536736.pdf12.12 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAranson, Igor S. ;en_US
dc.contributor.authorPikovsky, Arkady. ;en_US
dc.contributor.authorRulkov, Nikolai F. ;en_US
dc.contributor.authorTeeSimring, L. Sh. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:33:22Z-
dc.date.available2020-05-17T08:33:22Z-
dc.date.issued2017en_US
dc.identifier.isbn9783319536736 ;en_US
dc.identifier.isbn9783319536729 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1852-
dc.descriptionPrinted edition: ; 9783319536729. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis book focuses on recent progress in complexity research based on the fundamental nonlinear dynamical and statistical theory of oscillations, waves, chaos, and structures far from equilibrium. Celebrating seminal contributions to the field by Prof. M. I. Rabinovich of the University of California at San Diego, this volume brings together perspectives on both the fundamental aspects of complexity studies, as well as in applications in different fields ranging from granular patterns to understanding of the cognitive brain and mind dynamics. The slate of world-class authors review recent achievements that together present a broad and coherent coverage of modern research in complexity greater than the sum of its parts. Presents the most up-to-date developments in the studies of complexity Combines basic and applied aspects Links background nonlinear theory of oscillations and waves with modern approaches Allows readers to recognize general dynamical principles across the applications fields. ;en_US
dc.description.statementofresponsibilityedited by Igor S. Aranson, Arkady Pikovsky, Nikolai F. Rulkov, Lev S. Tsimring.en_US
dc.description.tableofcontentsPart I: Chaos and Dynamics -- 1. Weak Transient Chaos -- 2. Lorenz type attractor in electronic parametric generator and its transformation outside the parametric resonance -- 3. Time Rescaling of Lyapunov Exponents -- 4. Unraveling the Chaos-land and its organization in the Rabinovich System -- 5. Anomalous transport in steady plane viscous flows: simple models -- Part II: Synchronization and Networks -- 6. Coherence-incoherence transition and properties of dierent types of chimeras in a network of nonlocally coupled chaotic maps -- 7. Regular and Chaotic Transition to Synchrony in a Star Configuration of Phase Oscillators -- 8. LotkaeeVolterra like Dynamics in Phase Oscillator Networks -- 9. Intrinsic Stability, Time Delays and Transformations of Dynamical Networks -- 10. Discovering, Constructing, and Analyzing Synchronous Clusters of Oscillators in a Complex Network using Symmetries -- 11. When repulsive inhibition promotes synchrony of bursting neurons: Help from the enemy -- Part III: Brain -- 12. The variational principles of cognition -- 13. Olfactory computation in insects -- 14. Respiratory Neural Network: Activity and Connectivity -- 15. Dynamics of odor-evoked activity patterns in the olfactory system -- 16. Dynamics of Intermittent Synchronization of Neural Activity -- Part IV: Waves -- 17. Vortices termination in the cardiac muscle -- 18. KDV soliton gas: interactions and turbulence -- 19. Multi-lump structures in the KadomtseveePetviashvili equation. ;en_US
dc.format.extentXIX, 329 p. 123 illus., 81 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesNonlinear Systems and Complexity, ; 2195-9994 ; ; 20. ;en_US
dc.relation.ispartofseriesNonlinear Systems and Complexity, ; 2195-9994 ; ; 20. ;en_US
dc.relation.haspart9783319536736.pdfen_US
dc.subjectEngineeringen_US
dc.subjectPattern recognition. ;en_US
dc.subjectSystem theory. ;en_US
dc.subjectComplexity, Computational. ;en_US
dc.subjectEngineeringen_US
dc.subjectComplexity. ;en_US
dc.subjectPattern Recognition. ;en_US
dc.subjectApplications of Nonlinear Dynamics and Chaos Theory. ;en_US
dc.subjectComplex Systems. ;en_US
dc.titleAdvances in Dynamics, Patterns, Cognitionen_US
dc.title.alternativeChallenges in Complexity /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
dc.classification.lcQA76.9.M35 ;en_US
dc.classification.dc620 ; 23 ;en_US
Appears in Collections:مهندسی فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319536736.pdf12.12 MBAdobe PDFThumbnail
Preview File