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 #  AuthorTitleAccn#YearItem Type Claims
1 Schmidt, Wolfram Numerical Python in Astronomy and Astrophysics I11649 2021 eBook  
2 Javarone, Marco Alberto Statistical Physics and Computational Methods for Evolutionary Game Theory I10011 2018 eBook  
3 Marco Bittelli, Gaylon S. Campbell, and Fausto Tomei Soil physics with Python OB1102 eBook  
4 Guido Caldarelli Data science and complex networks OB1034 eBook  
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TitleNumerical Python in Astronomy and Astrophysics : A Practical Guide to Astrophysical Problem Solving
Author(s)Schmidt, Wolfram;V??lschow, Marcel
PublicationCham, Springer International Publishing, 2021.
DescriptionX, 250 p. 55 illus., 50 illus. in color : online resource
Abstract NoteThis book provides a solid foundation in the Python programming language, numerical methods, and data analysis, all embedded within the context of astronomy and astrophysics. It not only enables students to learn programming with the aid of examples from these fields but also provides ample motivation for engagement in independent research. The book opens by outlining the importance of computational methods and programming algorithms in contemporary astronomical and astrophysical research, showing why programming in Python is a good choice for beginners. The performance of basic calculations with Python is then explained with reference to, for example, Kepler???s laws of planetary motion and gravitational and tidal forces. Here, essential background knowledge is provided as necessary. Subsequent chapters are designed to teach the reader to define and use important functions in Python and to utilize numerical methods to solve differential equations and landmark dynamical problems in astrophysics. Finally, the analysis of astronomical data is discussed, with various hands-on examples as well as guidance on astronomical image analysis and applications of artificial neural networks
ISBN,Price9783030703479
Keyword(s)1. ASTRONOMY 2. Astronomy, Cosmology and Space Sciences 3. EBOOK 4. EBOOK - SPRINGER 5. MATHEMATICAL PHYSICS 6. NUMERICAL ANALYSIS 7. PYTHON 8. Python (Computer program language) 9. Theoretical, Mathematical and Computational Physics
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I11649     On Shelf    

2.     
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TitleStatistical Physics and Computational Methods for Evolutionary Game Theory
Author(s)Javarone, Marco Alberto
PublicationCham, Springer International Publishing, 2018.
DescriptionIX, 74 p. 27 illus., 25 illus. in color : online resource
Abstract NoteThis book presents an introduction to Evolutionary Game Theory (EGT) which is an emerging field in the area of complex systems attracting the attention of researchers from disparate scientific communities. EGT allows one to represent and study several complex phenomena, such as the emergence of cooperation in social systems, the role of conformity in shaping the equilibrium of a population, and the dynamics in biological and ecological systems. Since EGT models belong to the area of complex systems, statistical physics constitutes a fundamental ingredient for investigating their behavior. At the same time, the complexity of some EGT models, such as those realized by means of agent-based methods, often require the implementation of numerical simulations. Therefore, beyond providing an introduction to EGT, this book gives a brief overview of the main statistical physics tools (such as phase transitions and the Ising model) and computational strategies for simulating evolutionary games (such as Monte Carlo algorithms on lattices). ??This book will appeal to students and researchers in this burgeoning field of complex systems
ISBN,Price9783319702056
Keyword(s)1. Computational Social Sciences 2. Data-driven Science, Modeling and Theory Building 3. EBOOK 4. EBOOK - SPRINGER 5. ECONOPHYSICS 6. Evolutionary Biology 7. GAME THEORY 8. Game Theory, Economics, Social and Behav. Sciences 9. PYTHON 10. Python (Computer program language) 11. Social sciences???Computer programs 12. Social sciences???Data processing 13. Sociophysics 14. STATISTICAL PHYSICS 15. Statistical Physics and Dynamical Systems
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3.     
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TitleSoil physics with Python : transport in the soil-plant-atmosphere system
Author(s)Marco Bittelli, Gaylon S. Campbell, and Fausto Tomei
EditionFirst edition
Description1 online resource : illustrations (black and white)
Abstract NoteThis volume presents numerical methods to solve soil physics problems using computers. It starts with the theory and then shows how to use Python code to solve the problems. Most soil physics books focus on deriving rather than solving the differential equations for mass and energy transport in the soil-plant-atmosphere continuum. The focus of this book is on solutions. Agricultural and biological scientists usually have a good working knowledge of algebra and calculus, but not of differential equations. Here numerical procedures are used to solve differential equations
NotesIncludes bibliographical references and index
ISBN,Price9780191763175 (ebook)
Keyword(s)1. EBOOK 2. EBOOK - OXFORD UNIVERSITY PRESS 3. Python (Computer program language) 4. Soil physics
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4.    
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TitleData science and complex networks : real cases studies with Python
Author(s)Guido Caldarelli;Alessandro Chessa
EditionFirst edition
Description1 online resource : illustrations (black and white)
Abstract NoteThis work guides the reader in the analysis of big-data by providing theoretical and practical instruments to tame the complexity of such systems. Together with support provided by the companion website, it constitutes a simple and useful handbook for data analysts
NotesThis edition previously issued in print: 2016. -Includes bibliographical references and index
ISBN,Price9780191782916 (ebook)
Keyword(s)1. Big data 2. COMPUTER NETWORKS 3. EBOOK 4. EBOOK - OXFORD UNIVERSITY PRESS 5. Python (Computer program language) 6. SYSTEM ANALYSIS
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