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Mathematical methods in modern compl...
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Volchenkov, Dimitri.
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Mathematical methods in modern complexity science
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Mathematical methods in modern complexity science/ edited by Dimitri Volchenkov, J. A. Tenreiro Machado.
其他作者:
Volchenkov, Dimitri.
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
x, 197 p. :ill., digital ;24 cm.
內容註:
Preface -- Shannon Information Analysis of the Chromosome Code. -- An Unfair Coin of the Standard & Poor's 500 -- Relativistic chaotic scattering -- Artificial Intelligence for Studying Perception of Ambiguous Images and Decision-Marking Processes in the Human BrainMultistability Coexistence of Memristive Chaotic System, and the Application in Image Decryption -- Extreme Events and Emergency Scales -- Evolution of Systems with Power-Law Memory: Do We Have to Die? -- Probability Entanglement and Destructive Interference in Biased Coin Tossing -- On the solvability of some systems of integro-differential equations with drift. -- Solvability in The Sense of Sequences For Some Non Fredholm Operators With The Bi-Laplacian -- The Preservation of Nonnegativity of Solutions of A Parabolic System With The Bi-Laplacian -- Inverse problems for some systems of parabolic equations with coefficient depending on time.
Contained By:
Springer Nature eBook
標題:
System theory - Mathematical models. -
電子資源:
https://doi.org/10.1007/978-3-030-79412-5
ISBN:
9783030794125
Mathematical methods in modern complexity science
Mathematical methods in modern complexity science
[electronic resource] /edited by Dimitri Volchenkov, J. A. Tenreiro Machado. - Cham :Springer International Publishing :2022. - x, 197 p. :ill., digital ;24 cm. - Nonlinear systems and complexity,v. 332196-0003 ;. - Nonlinear systems and complexity ;v. 33..
Preface -- Shannon Information Analysis of the Chromosome Code. -- An Unfair Coin of the Standard & Poor's 500 -- Relativistic chaotic scattering -- Artificial Intelligence for Studying Perception of Ambiguous Images and Decision-Marking Processes in the Human BrainMultistability Coexistence of Memristive Chaotic System, and the Application in Image Decryption -- Extreme Events and Emergency Scales -- Evolution of Systems with Power-Law Memory: Do We Have to Die? -- Probability Entanglement and Destructive Interference in Biased Coin Tossing -- On the solvability of some systems of integro-differential equations with drift. -- Solvability in The Sense of Sequences For Some Non Fredholm Operators With The Bi-Laplacian -- The Preservation of Nonnegativity of Solutions of A Parabolic System With The Bi-Laplacian -- Inverse problems for some systems of parabolic equations with coefficient depending on time.
This book presents recent developments in nonlinear and complex systems. It provides recent theoretic developments and new techniques based on a nonlinear dynamical systems approach that can be used to model and understand complex behavior in nonlinear dynamical systems. It covers information theory, relativistic chaotic dynamics, data analysis, relativistic chaotic dynamics, solvability issues in integro-differential equations, and inverse problems for parabolic differential equations, synchronization and chaotic transient. Presents new concepts for understanding and modeling complex systems.
ISBN: 9783030794125
Standard No.: 10.1007/978-3-030-79412-5doiSubjects--Topical Terms:
587842
System theory
--Mathematical models.
LC Class. No.: Q295 / .M37 2022
Dewey Class. No.: 003.3
Mathematical methods in modern complexity science
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This book presents recent developments in nonlinear and complex systems. It provides recent theoretic developments and new techniques based on a nonlinear dynamical systems approach that can be used to model and understand complex behavior in nonlinear dynamical systems. It covers information theory, relativistic chaotic dynamics, data analysis, relativistic chaotic dynamics, solvability issues in integro-differential equations, and inverse problems for parabolic differential equations, synchronization and chaotic transient. Presents new concepts for understanding and modeling complex systems.
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