书目信息 |
| 书名： | Nonlinear dynamics, chaos, and complexity | |
| 作者： | Dimitri Volchenkov, ed. | |
| 分册号： | ||
| 分册名： | 出版地： |
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| 出版社： | ||
| 出版时间： | ||
| 页数： | viii, 198 pages : | |
| 开本： | 25 cm. | |
| 丛书名： | ||
| 中图分类号： | ||
| 科图分类号： | ||
| 其他分类号： | H31:O194 | |
| 主题词： | ||
| 电子资源： | ||
| 000 | 02959nam 2200325 a 4500 | |
| 001 | E2140365796 | |
| 003 | CAL | |
| 005 | 20211109111319.26 | |
| 008 | 210820s2021 cc a b 001 0 eng d | |
| 020 | @a9787040559118 :@cCNY 119.00. | |
| 035 | @aCAL 022021074504 | |
| 040 | @aTJU@beng@erda@cTJU@dTJU@dPUL | |
| 093 | @aO194@25 | |
| 093 | @aH31:O194 | |
| 099 | @dH31:O194@e1 | |
| 245 | 00 | @aNonlinear dynamics, chaos, and complexity :@bin memory of Valentin Afraimovich = 非线性动力系统、混沌及复杂性 : 纪念Valentin Afraimovich教授 / @cDimitri Volchenkov, ed. |
| 246 | 31 | @a非线性动力系统、混沌及复杂性 :@b纪念Valentin Afraimovich教授 |
| 264 | 1 | @a北京 :@bHigher Education Press,@c2021. |
| 300 | @aviii, 198 pages :@billustrations ;@c25 cm. | |
| 336 | @atext@btxt@2rdacontent | |
| 337 | @aunmediated@bn@2rdamedia | |
| 338 | @avolume@bnc@2rdacarrier | |
| 490 | 0 | @aNonlinear physical science =@a非线性物理科学 ;@vv. 49 |
| 504 | @aIncludes bibliographical references. | |
| 505 | 0 | @aProfessor Valentin Afraimovich -- The need for more integration between machine learning and neuroscience. Quasiperiodic Route to Transient Chaos in Vibroimpact System -- Modeling Ensembles of Nonlinear Dynamic Systems in Ultrawideb and Active Wireless Direct Chaotic Networks -- Verification of Biomedical Processes with Anomalous Diffusion, Transport and Interaction of Species -- Chaos-based communication using isochronal synchronization: considerations about the synchronization manifold |
| 520 | @aThis book demonstrates how mathematical methods and techniques can be used in synergy and create a new way of looking at complex systems. It becomes clear nowadays that the standard (graph-based) network approach, in which observable events and transportation hubs are represented by nodes and relations between them are represented by edges, fails to describe the important properties of complex systems, capture the dependence between their scales, and anticipate their future developments. Therefore, authors in this book discuss the new generalized theories capable to describe a complex nexus of dependences in multi-level complex systems and to effectively engineer their important functions. The collection of works devoted to the memory of Professor Valentin Afraimovich introduces new concepts, methods, and applications in nonlinear dynamical systems covering physical problems and mathematical modelling relevant to molecular biology, genetics, neurosciences, artificial intelligence as well as classic problems in physics, machine learning, brain and urban dynamics. The book can be read by mathematicians, physicists, complex systems scientists, IT specialists, civil engineers, data scientists, urban planners, and even musicians (with some mathematical background) | |
| 650 | 0 | @aDifferentiable dynamical systems. |
| 650 | 0 | @a英语 |
| 700 | 1 | @aAfrai?movich, V. S.@q(Valentin Senderovich),@ehonouree. |
| 700 | 1 | @aVolchenkov, Dimitri,@eeditor. |
| Nonlinear dynamics, chaos, and complexity : : in memory of Valentin Afraimovich = 非线性动力系统、混沌及复杂性 : 纪念Valentin Afraimovich教授 / / Dimitri Volchenkov, ed. |
| viii, 198 pages : : illustrations ; ; 25 cm.- (Nonlinear physical science = 非线性物理科学 ; v. 49) |
| Includes bibliographical references.-Professor Valentin Afraimovich -- The need for more integration between machine learning and neuroscience. Quasiperiodic Route to Transient Chaos in Vibroimpact System -- Modeling Ensembles of Nonlinear Dynamic Systems in Ultrawideb and Active Wireless Direct Chaotic Networks -- Verification of Biomedical Processes with Anomalous Diffusion, Transport and Interaction of Species -- Chaos-based communication using isochronal synchronization: considerations about the synchronization manifold.-This book demonstrates how mathematical methods and techniques can be used in synergy and create a new way of looking at complex systems. It becomes clear nowadays that the standard (graph-based) network approach, in which observable events and transportation hubs are represented by nodes and relations between them are represented by edges, fails to describe the important properties of complex systems, capture the dependence between their scales, and anticipate their future developments. Therefore, authors in this book discuss the new generalized theories capable to describe a complex nexus of dependences in multi-level complex systems and to effectively engineer their important functions. The collection of works devoted to the memory of Professor Valentin Afraimovich introduces new concepts, methods, and applications in nonlinear dynamical systems covering physical problems and mathematical modelling relevant to molecular biology, genetics, neurosciences, artificial intelligence as well as classic problems in physics, machine learning, brain and urban dynamics. The book can be read by mathematicians, physicists, complex systems scientists, IT specialists, civil engineers, data scientists, urban planners, and even musicians (with some mathematical background) |
| ISBN 9787040559118 :CNY 119.00. |
| This book demonstrates how mathematical methods and techniques can be used in synergy and create a new way of looking at complex systems. It becomes clear nowadays that the standard (graph-based) network approach, in which observable events and transportation hubs are represented by nodes and relations between them are represented by edges, fails to describe the important properties of complex systems, capture the dependence between their scales, and anticipate their future developments. Therefore, authors in this book discuss the new generalized theories capable to describe a complex nexus of dependences in multi-level complex systems and to effectively engineer their important functions. The collection of works devoted to the memory of Professor Valentin Afraimovich introduces new concepts, methods, and applications in nonlinear dynamical systems covering physical problems and mathematical modelling relevant to molecular biology, genetics, neurosciences, artificial intelligence as well as classic problems in physics, machine learning, brain and urban dynamics. The book can be read by mathematicians, physicists, complex systems scientists, IT specialists, civil engineers, data scientists, urban planners, and even musicians (with some mathematical background) |
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正题名：Nonlinear dynamics, chaos, and complexity
索取号：H31:O194/1
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