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 #  AuthorTitleAccn#YearItem Type Claims
1 Sukumar, N Navigating Molecular Networks I13290 2024 eBook  
2 Saha, Asit Proceedings of the 2nd International Conference on Nonlinear Dynamics and Applications (ICNDA 2024), Volume 3 I13252 2024 eBook  
3 Gros, Claudius Complex and Adaptive Dynamical Systems I13034 2024 eBook  
4 Datseris, George Nonlinear Dynamics I12383 2022 Book  
5 Banerjee, Santo Nonlinear Dynamics and Applications I12233 2022 Book  
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TitleNavigating Molecular Networks
Author(s)Sukumar, N
PublicationCham, 1. Imprint: Springer 2. Springer Nature Switzerland, 2024.
DescriptionXVIII, 114 p. 41 illus., 26 illus. in color : online resource
Abstract NoteThis book delves into the foundational principles governing the treatment of molecular networks and "chemical space"???the comprehensive domain encompassing all physically achievable molecules???from the perspectives of vector space, graph theory, and data science. It explores similarity kernels, network measures, spectral graph theory, and random matrix theory, weaving intriguing connections between these diverse subjects. Notably, it emphasizes the visualization of molecular networks. The exploration continues by delving into contemporary generative deep learning models, increasingly pivotal in the pursuit of new materials possessing specific properties, showcasing some of the most compelling advancements in this field. Concluding with a discussion on the meanings of discovery, creativity, and the role of artificial intelligence (AI) therein. Its primary audience comprises senior undergraduate and graduate students specializing in physics, chemistry, and materials science. Additionally, it caters to those interested in the potential transformation of material discovery through computational, network, AI, and machine learning (ML) methodologies
ISBN,Price9783031762901
Keyword(s)1. Biomolecules 2. BIOPHYSICS 3. EBOOK 4. EBOOK - SPRINGER 5. GRAPH THEORY 6. MACHINE LEARNING 7. MOLECULAR BIOPHYSICS 8. Soft condensed matter 9. Soft Materials 10. STATISTICAL PHYSICS 11. Stochastic Networks 12. STOCHASTIC PROCESSES
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I13290     On Shelf    

2.     
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TitleProceedings of the 2nd International Conference on Nonlinear Dynamics and Applications (ICNDA 2024), Volume 3 : Dynamical Models, Communications and Networks
Author(s)Saha, Asit;Banerjee, Santo
PublicationCham, 1. Imprint: Springer 2. Springer Nature Switzerland, 2024.
DescriptionXVIII, 705 p. 307 illus., 265 illus. in color : online resource
Abstract NoteThis book covers the latest advancements and applications of nonlinear dynamics in various fields of science and engineering, presenting a curated selection of peer-reviewed contributions at the 2nd International Conference on Nonlinear Dynamics and Applications (ICNDA 2024) at Sikkim Manipal Institute of Technology (SMIT). Organized by the Department of Mathematics, SMIT, SMU, this international conference provides a platform for scientists, researchers, and inventors to share their findings and exchange ideas in the ever-evolving field of nonlinear dynamics. This book comprises three volumes. Volume 3 focuses on graphs, networks, and communications. It covers topics such as optimization in control and neural systems; machine learning for signal analysis and classification; graph theory applications in science and engineering; analysis of wavelets and transforms in signal processing; and semiconductor devices and nanomaterials
ISBN,Price9783031691461
Keyword(s)1. Communications Engineering, Networks 2. COMPLEX SYSTEMS 3. EBOOK 4. EBOOK - SPRINGER 5. GRAPH THEORY 6. QUANTUM COMMUNICATION 7. Quantum Communications and Cryptography 8. Stochastic Networks 9. STOCHASTIC PROCESSES 10. SYSTEM THEORY 11. TELECOMMUNICATION
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I13252     On Shelf    

3.     
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TitleComplex and Adaptive Dynamical Systems : A Comprehensive Introduction
Author(s)Gros, Claudius
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2024.
DescriptionXV, 461 p. 167 illus., 145 illus. in color : online resource
Abstract NoteThis textbook offers a comprehensive introduction to the concepts underpinning our modern understanding of complex and emergent behavior. Mathematical methods necessary for the discussion are introduced and explained on the run. All derivations are presented step-by-step. This new fifth edition has been fully revised and includes a new chapter, a range of new sections, figures and exercises. The Solution chapter has been reorganized for clarity. The core aspects of modern complex system sciences are presented in the first chapters, covering the foundations of network- and dynamical system theory, with a particular focus on scale-free networks and tipping phenomena. The notion of deterministic chaos is treated together with bifurcation theory and the intricacies of time delays. Modern information theoretical principles are discussed in further chapters, together with the notion of self-organized criticality, synchronization phenomena, and a game-theoretical treatment of the tragedy of the commons. The dynamical systems view of modern machine learning is presented in a new chapter. Chapters include exercises and suggestions for further reading. The textbook is suitable for graduate and advanced undergraduate students. The prerequisites are the basic mathematical tools of courses in natural sciences, computer science or engineering
ISBN,Price9783031550768
Keyword(s)1. Applied Dynamical Systems 2. COMPLEX SYSTEMS 3. DYNAMICAL SYSTEMS 4. DYNAMICS 5. EBOOK 6. EBOOK - SPRINGER 7. GRAPH THEORY 8. Mathematical Models of Cognitive Processes and Neural Networks 9. Neural networks (Computer science)?? 10. NONLINEAR THEORIES 11. Stochastic Networks 12. STOCHASTIC PROCESSES 13. SYSTEM THEORY
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I13034     On Shelf    

4.     
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TitleNonlinear Dynamics : A Concise Introduction Interlaced with Code
Author(s)Datseris, George;Parlitz, Ulrich
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2022.
DescriptionXV, 236 p. 116 illus., 103 illus. in color : online resource
Abstract NoteThis concise and up-to-date textbook provides an accessible introduction to the core concepts of nonlinear dynamics as well as its existing and potential applications. The book is aimed at students and researchers in all the diverse fields in which nonlinear phenomena are important. Since most tasks in nonlinear dynamics cannot be treated analytically, skills in using numerical simulations are crucial for analyzing these phenomena. The text therefore addresses in detail appropriate computational methods as well as identifying the pitfalls of numerical simulations. It includes numerous executable code snippets referring to open source Julia software packages. Each chapter includes a selection of exercises with which students can test and deepen their skills
ISBN,Price9783030910327
Keyword(s)1. Climate Sciences 2. CLIMATOLOGY 3. COMPLEX SYSTEMS 4. DYNAMICAL SYSTEMS 5. EBOOK 6. EBOOK - SPRINGER 7. Stochastic Networks 8. STOCHASTIC PROCESSES 9. SYSTEM THEORY 10. TIME SERIES ANALYSIS 11. TIME-SERIES ANALYSIS
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5.    
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TitleNonlinear Dynamics and Applications : Proceedings of the ICNDA 2022
Author(s)Banerjee, Santo;Saha, Asit
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2022.
DescriptionXXXI, 1474 p. 608 illus., 551 illus. in color : online resource
Abstract NoteThis book covers recent trends and applications of nonlinear dynamics in various branches of society, science, and engineering. The selected peer-reviewed contributions were presented at the International Conference on Nonlinear Dynamics and Applications (ICNDA 2022) at Sikkim Manipal Institute of Technology (SMIT) and cover a broad swath of topics ranging from chaos theory and fractals to quantum systems and the dynamics of the COVID-19 pandemic. Organized by the SMIT Department of Mathematics, this international conference offers an interdisciplinary stage for scientists, researchers, and inventors to present and discuss the latest innovations and trends in all possible areas of nonlinear dynamics
ISBN,Price9783030997922
Keyword(s)1. BIOINFORMATICS 2. COMPLEX SYSTEMS 3. Computational and Systems Biology 4. DYNAMICAL SYSTEMS 5. EBOOK 6. EBOOK - SPRINGER 7. MACHINE LEARNING 8. PLASMA WAVES 9. Stochastic Networks 10. STOCHASTIC PROCESSES 11. SYSTEM THEORY 12. Waves, instabilities and nonlinear plasma dynamics
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I12233     On Shelf    

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