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| Titel: | Mathematical methods in modern complexity science |
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| Mitwirkende: | Volchenkov, Dimitri [HerausgeberIn]  |
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| | Machado, José António Tenreiro [HerausgeberIn] |
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| Verf.angabe: | Dimitri Volchenkov, J. A. Tenreiro Machado (editors) |
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| Verlagsort: | Cham |
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| Verlag: | Springer |
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| E-Jahr: | 2022 |
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| Jahr: | [2022] |
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| Umfang: | 1 Online-Ressource (x, 197 Seiten) |
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| Illustrationen: | Illustrationen, Diagramme |
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| Gesamttitel/Reihe: | Nonlinear systems and complexity ; volume 33 |
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| | Springer eBook Collection |
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| ISBN: | 978-3-030-79412-5 |
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| Abstract: | 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. |
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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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| DOI: | doi:10.1007/978-3-030-79412-5 |
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| URL: | Resolving-System: https://doi.org/10.1007/978-3-030-79412-5 |
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| | DOI: https://doi.org/10.1007/978-3-030-79412-5 |
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| Schlagwörter: | (s)Komplexes System / (s)Nichtlineares System / (s)Mathematische Methode |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Bibliogr. Hinweis: | Erscheint auch als : Druck-Ausgabe |
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| | Erscheint auch als : Druck-Ausgabe |
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| | Erscheint auch als : Druck-Ausgabe |
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| | Erscheint auch als : Druck-Ausgabe: Mathematical methods in modern complexity science. - Cham, Switzerland : Springer Nature, 2022. - x, 197 Seiten |
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| K10plus-PPN: | 1796266477 |
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| Verknüpfungen: | → Übergeordnete Aufnahme |
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| Lokale URL UB: |  Zum Volltext |
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Mathematical methods in modern complexity science / Volchenkov, Dimitri [HerausgeberIn]; [2022] (Online-Ressource)
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