Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/1852
Title: Advances in Dynamics, Patterns, Cognition
Other Titles: Challenges in Complexity /
Authors: Aranson, Igor S. ;;Pikovsky, Arkady. ;;Rulkov, Nikolai F. ;;TeeSimring, L. Sh. ;
subject: Engineering;Pattern recognition. ;;System theory. ;;Complexity, Computational. ;;Engineering;Complexity. ;;Pattern Recognition. ;;Applications of Nonlinear Dynamics and Chaos Theory. ;;Complex Systems. ;
Year: 2017
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Nonlinear Systems and Complexity, ; 2195-9994 ; ; 20. ;
Nonlinear Systems and Complexity, ; 2195-9994 ; ; 20. ;
Abstract: This 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. ;
Description: Printed edition: ; 9783319536729. ;


SpringerLink (Online service) ;

URI: http://localhost/handle/Hannan/1852
ISBN: 9783319536736 ;
9783319536729 (print) ;
More Information: XIX, 329 p. 123 illus., 81 illus. in color. ; online resource. ;
Appears in Collections:مهندسی فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319536736.pdf12.12 MBAdobe PDFThumbnail
Preview File
Title: Advances in Dynamics, Patterns, Cognition
Other Titles: Challenges in Complexity /
Authors: Aranson, Igor S. ;;Pikovsky, Arkady. ;;Rulkov, Nikolai F. ;;TeeSimring, L. Sh. ;
subject: Engineering;Pattern recognition. ;;System theory. ;;Complexity, Computational. ;;Engineering;Complexity. ;;Pattern Recognition. ;;Applications of Nonlinear Dynamics and Chaos Theory. ;;Complex Systems. ;
Year: 2017
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Nonlinear Systems and Complexity, ; 2195-9994 ; ; 20. ;
Nonlinear Systems and Complexity, ; 2195-9994 ; ; 20. ;
Abstract: This 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. ;
Description: Printed edition: ; 9783319536729. ;


SpringerLink (Online service) ;

URI: http://localhost/handle/Hannan/1852
ISBN: 9783319536736 ;
9783319536729 (print) ;
More Information: XIX, 329 p. 123 illus., 81 illus. in color. ; online resource. ;
Appears in Collections:مهندسی فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319536736.pdf12.12 MBAdobe PDFThumbnail
Preview File
Title: Advances in Dynamics, Patterns, Cognition
Other Titles: Challenges in Complexity /
Authors: Aranson, Igor S. ;;Pikovsky, Arkady. ;;Rulkov, Nikolai F. ;;TeeSimring, L. Sh. ;
subject: Engineering;Pattern recognition. ;;System theory. ;;Complexity, Computational. ;;Engineering;Complexity. ;;Pattern Recognition. ;;Applications of Nonlinear Dynamics and Chaos Theory. ;;Complex Systems. ;
Year: 2017
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Nonlinear Systems and Complexity, ; 2195-9994 ; ; 20. ;
Nonlinear Systems and Complexity, ; 2195-9994 ; ; 20. ;
Abstract: This 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. ;
Description: Printed edition: ; 9783319536729. ;


SpringerLink (Online service) ;

URI: http://localhost/handle/Hannan/1852
ISBN: 9783319536736 ;
9783319536729 (print) ;
More Information: XIX, 329 p. 123 illus., 81 illus. in color. ; online resource. ;
Appears in Collections:مهندسی فناوری اطلاعات

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