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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783030449926 |
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978-3-030-44992-6 |
024 7# - |
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10.1007/978-3-030-44992-6 |
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doi |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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QC174.7-175.36 |
072 #7 - |
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SCI012000 |
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621 |
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245 10 - TITLE STATEMENT |
Title |
Emerging Frontiers in Nonlinear Science |
Statement of responsibility, etc |
edited by Panayotis G. Kevrekidis, Jesús Cuevas-Maraver, Avadh Saxena. |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed. 2020. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XXV, 373 p. 104 illus., 85 illus. in color. |
Other physical details |
online resource. |
505 0# - |
Formatted contents note |
Chapter 1 - Nonlinearity and Biology (Zoi Rapti) -- Chapter 2 - Nonlinearity and Topology (Avadh Saxena, Panayotis G. Kevrekidis, and Jesús Cuevas-Maraver) -- Chapter 3 - Nonlinear Metamaterials (Lei Xu, Mohsen Rahmani, David A. Powell, Dragomir Neshev, Andrey E. Miroshnichenko) -- Chapter 4 - Nonlinearity and discreteness: solitons in lattices (Boris A. Malomed) -- Chapter 5 - Universal relaxation in quantum systems (Kazuya Fujimoto and Masahito Ueda) -- Chapter 6 - Nonlinearity and Networks: A 2020 Vision (Mason A. Porter) -- Chapter 7 - Integrability and Nonlinear Waves (Mark J. Ablowitz) -- Chapter 8 - Nonequilibrium phenomena in nonlinear lattices: from slow relaxation to anomalous transport (Stefano Iubini, Stefano Lepri, Roberto Livi, Antonio Politi, and Paolo Politi) -- Chapter 9 - Nonlinearity, Geometry and Field Theory Solitons (Nicholas S. Manton) -- Chapter 10 - Nonlinear and Novel Phenomena in Non-Hermitian Photonics (Li Ge and Wenjie Wan) -- Chapter 11 - Computational Challenges of Nonlinear Systems (Laurette S. Tuckerman) -- Chapter 12 - Dissipative Systems (Edgar Knobloch) -- Chapter 13 - Synchronization in discrete models (Alexandre Rosas, Daniel Escaff, Katja Lindenberg) -- Chapter 14 - Physics-informed learning machines for partial differential equations: Gaussian processes versus neural network (Guofei Pang and George Em Karniadakis).-Chapter 15- Nonlinear systems for unconventional computing (Kirill P. Kalinin and Natalia G. Berloff). . |
650 #0 - |
Topical term or geographic name as entry element |
Statistical physics. |
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Physics. |
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System theory. |
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Mathematical physics. |
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Systems biology. |
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Biological systems. |
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Topical term or geographic name as entry element |
Quantum computers. |
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Topical term or geographic name as entry element |
Applications of Nonlinear Dynamics and Chaos Theory. |
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Topical term or geographic name as entry element |
Applications of Graph Theory and Complex Networks. |
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Topical term or geographic name as entry element |
Complex Systems. |
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Topical term or geographic name as entry element |
Theoretical, Mathematical and Computational Physics. |
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Topical term or geographic name as entry element |
Systems Biology. |
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Topical term or geographic name as entry element |
Quantum Computing. |
700 1# - |
Personal name |
Kevrekidis, Panayotis G. |
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editor. |
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Personal name |
Cuevas-Maraver, Jesús. |
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editor. |
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Personal name |
Saxena, Avadh. |
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editor. |
710 2# - |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
856 40 - |
Uniform Resource Identifier |
https://doi.org/10.1007/978-3-030-44992-6 |
245 10 - TITLE STATEMENT |
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[electronic resource] / |
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Springer International Publishing : |
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Imprint: Springer, |
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2020. |
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text file |
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490 1# - |
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Nonlinear Systems and Complexity, |
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2196-0003 ; |
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This book explores the impact of nonlinearity on a broad range of areas, including time-honored fields such as biology, geometry, and topology, but also modern ones such as quantum mechanics, networks, metamaterials and artificial intelligence. The concept of nonlinearity is a universal feature in mathematics, physics, chemistry and biology, and is used to characterize systems whose behavior does not amount to a superposition of simple building blocks, but rather features complex and often chaotic patterns and phenomena. Each chapter of the book features a synopsis that not only recaps the recent progress in each field but also charts the challenges that lie ahead. This interdisciplinary book presents contributions from a diverse group of experts from various fields to provide an overview of each field's past, present and future. It will appeal to both beginners and seasoned researchers in nonlinear science, numerous areas of physics (optics, quantum physics, biophysics), and applied mathematics (ODEs, PDEs, dynamical systems, machine learning) as well as engineering. |
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https://scigraph.springernature.com/ontologies/product-market-codes/P33020 |
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https://scigraph.springernature.com/ontologies/product-market-codes/P33010 |
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https://scigraph.springernature.com/ontologies/product-market-codes/M13090 |
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https://scigraph.springernature.com/ontologies/product-market-codes/P19005 |
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https://scigraph.springernature.com/ontologies/product-market-codes/P27050 |
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https://scigraph.springernature.com/ontologies/product-market-codes/M14070 |
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Springer Nature eBook |
776 08 - |
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Printed edition: |
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9783030449919 |
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Printed edition: |
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9783030449933 |
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Nonlinear Systems and Complexity, |
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2196-0003 ; |
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Physics and Astronomy (SpringerNature-11651) |
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Physics and Astronomy (R0) (SpringerNature-43715) |