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Author  Title  Accn#  Year  Item Type  Claims 
1 
Steinhauser, Martin Oliver 
Computational Multiscale Modeling of Fluids and Solids 
I10369 
2017 
eBook 

2 
Timberlake, Todd Keene 
Classical Mechanics with Maxima 
I10330 
2016 
eBook 

3 
Stickler, Benjamin A 
Basic Concepts in Computational Physics 
I10279 
2016 
eBook 

4 
Kr??ger, Timm 
The Lattice Boltzmann Method 
I10145 
2017 
eBook 

5 
Harney, Hanns Ludwig 
Bayesian Inference 
I09850 
2016 
eBook 

6 
Masuda, Naoki 
Proceedings of NetSciX 2020: Sixth International Winter School and Conference on Network Science 
I09711 
2020 
eBook 

7 
Aristov, V.V 
Direct Methods for Solving the Boltzmann Equation and Study of Nonequilibrium Flows 
I11532 
2001 
eBook 

8 
Lipatov, Alexander S 
The Hybrid Multiscale Simulation Technology 
I11371 
2002 
eBook 

9 
Liseikin, Vladimir D 
A Computational Differential Geometry Approach to Grid Generation 
I11320 
2004 
eBook 

10 
Harney, Hanns L 
Bayesian Inference 
I11266 
2003 
eBook 


1.


Title  Computational Multiscale Modeling of Fluids and Solids : Theory and Applications 
Author(s)  Steinhauser, Martin Oliver 
Publication  Berlin, Heidelberg, 1. Imprint: Springer
2. Springer Berlin Heidelberg, 2017. 
Description  XXIII, 405 p. 139 illus., 34 illus. in color : online resource 
Abstract Note  The idea of the book is to provide a comprehensive overview of computational physics methods and techniques, that are used for materials modeling on different length and time scales. Each chapter first provides an overview of the basic physical principles which are the basis for the numerical and mathematical modeling on the respective lengthscale. The book includes the microscale, the mesoscale and the macroscale, and the chapters follow this classification. The book explains in detail many tricks of the trade of some of the most important methods and techniques that are used to simulate materials on the perspective levels of spatial and temporal resolution. Case studies are included to further illustrate some methods or theoretical considerations. Example applications for all techniques are provided, some of which are from the author???s own contributions to some of the research areas. The second edition has been expanded by new sections in computational models on meso/macroscopic scales for ocean and atmosphere dynamics. Numerous applications in environmental physics and geophysics had been added 
ISBN,Price  9783662532249 
Keyword(s)  1. APPLIED MATHEMATICS
2. Characterization and Evaluation of Materials
3. Computational Mathematics and Numerical Analysis
4. Computer mathematics
5. EBOOK
6. EBOOK  SPRINGER
7. ENGINEERING MATHEMATICS
8. GEOPHYSICS
9. Geophysics and Environmental Physics
10. MATERIALS SCIENCE
11. Mathematical and Computational Engineering
12. Numerical and Computational Physics, Simulation
13. PHYSICS

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Call#  Status  Issued To  Return Due On  Physical Location 
I10369 


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2.


Title  Classical Mechanics with Maxima 
Author(s)  Timberlake, Todd Keene;Mixon, J. Wilson 
Publication  New York, NY, 1. Imprint: Springer
2. Springer New York, 2016. 
Description  XI, 258 p. 156 illus : online resource 
Abstract Note  This book guides undergraduate students in the use of Maxima???a computer algebra system???in solving problems in classical mechanics. It functions well as a supplement to a typical classical mechanics textbook. When it comes to problems that are too difficult to solve by hand, computer algebra systems that can perform symbolic mathematical manipulations are a valuable tool. Maxima is particularly attractive in that it is opensource, multipleplatform software that students can download and install free of charge. Lessons learned and capabilities developed using Maxima are easily transferred to other, proprietary software 
ISBN,Price  9781493932078 
Keyword(s)  1. ALGEBRA
2. CLASSICAL MECHANICS
3. Computational Mathematics and Numerical Analysis
4. Computer mathematics
5. EBOOK
6. EBOOK  SPRINGER
7. General Algebraic Systems
8. Mathematical Applications in the Physical Sciences
9. Mathematical Methods in Physics
10. MATHEMATICAL PHYSICS
11. MECHANICS
12. PHYSICS

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Call#  Status  Issued To  Return Due On  Physical Location 
I10330 


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3.


Title  Basic Concepts in Computational Physics 
Author(s)  Stickler, Benjamin A;Schachinger, Ewald 
Publication  Cham, 1. Imprint: Springer
2. Springer International Publishing, 2016. 
Description  XVI, 409 p : online resource 
Abstract Note  This new edition is a concise introduction to the basic methods of computational physics. Readers will discover the benefits of numerical methods for solving complex mathematical problems and for the direct simulation of physical processes. The book is divided into two main parts: Deterministic methods and stochastic methods in computational physics. Based on concrete problems, the first part discusses numerical differentiation and integration, as well as the treatment of ordinary differential equations. This is extended by a brief introduction to the numerics of partial differential equations. The second part deals with the generation of random numbers, summarizes the basics of stochastics, and subsequently introduces MonteCarlo (MC) methods. Specific emphasis is on MARKOV chain MC algorithms. The final two chapters discuss data analysis and stochastic optimization. All this is again motivated and augmented by applications from physics. In addition, the book offers a number of appendices to provide the reader with information on topics not discussed in the main text. Numerous problems with workedout solutions, chapter introductions and summaries, together with a clear and applicationoriented style support the reader. Ready to use C++ codes are provided online 
ISBN,Price  9783319272658 
Keyword(s)  1. APPLIED MATHEMATICS
2. Chemistry, Physical and theoretical
3. Computational Mathematics and Numerical Analysis
4. Computer mathematics
5. EBOOK
6. EBOOK  SPRINGER
7. ENGINEERING MATHEMATICS
8. Mathematical and Computational Engineering
9. Numerical and Computational Physics, Simulation
10. PHYSICS
11. Theoretical and Computational Chemistry

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Call#  Status  Issued To  Return Due On  Physical Location 
I10279 


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4.


Title  The Lattice Boltzmann Method : Principles and Practice 
Author(s)  Kr??ger, Timm;Kusumaatmaja, Halim;Kuzmin, Alexandr;Shardt, Orest;Silva, Goncalo;Viggen, Erlend Magnus 
Publication  Cham, 1. Imprint: Springer
2. Springer International Publishing, 2017. 
Description  XXIV, 694 p. 126 illus : online resource 
Abstract Note  This book is an introduction to the theory, practice, and implementation of the Lattice Boltzmann (LB) method, a powerful computational fluid dynamics method that is steadily gaining attention due to its simplicity, scalability, extensibility, and simple handling of complex geometries. The book contains chapters on the method's background, fundamental theory, advanced extensions, and implementation. To aid beginners, the most essential paragraphs in each chapter are highlighted, and the introductory chapters on various LB topics are frontloaded with special "in a nutshell" sections that condense the chapter's most important practical results. Together, these sections can be used to quickly get up and running with the method. Exercises are integrated throughout the text, and frequently asked questions about the method are dealt with in a special section at the beginning. In the book itself and through its web page, readers can find example codes showing how the LB method can be implemented efficiently on a variety of hardware platforms, including multicore processors, clusters, and graphics processing units. Students and scientists learning and using the LB method will appreciate the wealth of clearly presented and structured information in this volume 
ISBN,Price  9783319446493 
Keyword(s)  1. COMPLEX SYSTEMS
2. Computational Mathematics and Numerical Analysis
3. Computer mathematics
4. DYNAMICAL SYSTEMS
5. EBOOK
6. EBOOK  SPRINGER
7. Engineering Fluid Dynamics
8. FLUID MECHANICS
9. Fluid and Aerodynamics
10. FLUIDS
11. Numerical and Computational Physics, Simulation
12. PHYSICS
13. STATISTICAL PHYSICS
14. Statistical Physics and Dynamical Systems

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Call#  Status  Issued To  Return Due On  Physical Location 
I10145 


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5.


Title  Bayesian Inference : Data Evaluation and Decisions 
Author(s)  Harney, Hanns Ludwig 
Publication  Cham, 1. Imprint: Springer
2. Springer International Publishing, 2016. 
Description  XIII, 243 p. 39 illus., 3 illus. in color : online resource 
Abstract Note  This new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It generalizes Gaussian error intervals to situations in which the data follow distributions other than Gaussian. This is particularly useful when the observed parameter is barely above the background or the histogram of multiparametric data contains many empty bins, so that the determination of the validity of a theory cannot be based on the chisquaredcriterion. In addition to the solutions of practical problems, this approach provides an epistemic insight: the logic of quantum mechanics is obtained as the logic of unbiased inference from counting data. New sections feature factorizing parameters, commuting parameters, observables in quantum mechanics, the art of fitting with coherent and with incoherent alternatives and fitting with multinomial distribution. Additional problems and examples help deepen the knowledge. Requiring no knowledge of quantum mechanics, the book is written on introductory level, with many examples and exercises, for advanced undergraduate and graduate students in the physical sciences, planning to, or working in, fields such as medical physics, nuclear physics, quantum mechanics, and chaos 
ISBN,Price  9783319416441 
Keyword(s)  1. Computational Mathematics and Numerical Analysis
2. Computer mathematics
3. EBOOK
4. EBOOK  SPRINGER
5. Mathematical Methods in Physics
6. Medical and Radiation Physics
7. Medical physics
8. NUCLEAR PHYSICS
9. Particle and Nuclear Physics
10. PHYSICS
11. PROBABILITIES
12. Probability Theory and Stochastic Processes
13. RADIATION
14. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
15. Statistics??

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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I09850 


On Shelf 




6.


Title  Proceedings of NetSciX 2020: Sixth International Winter School and Conference on Network Science 
Author(s)  Masuda, Naoki;Goh, KwangIl;Jia, Tao;Yamanoi, Junichi;Sayama, Hiroki 
Publication  Cham, 1. Imprint: Springer
2. Springer International Publishing, 2020. 
Description  X, 270 p. 81 illus., 70 illus. in color : online resource 
Abstract Note  This volume constitutes the proceedings of NetSciX 2020: the Sixth International School and Conference on Network Science, which was held in Tokyo, Japan, in January 2020. NetSciX is the Network Science Society???s winter conference series that covers a wide variety of interdisciplinary topics on networks. Participants come from various fields, including (but not limited to): mathematics, physics, computer science, social sciences, management and marketing sciences, organization science, communication science, systems science, biology, ecology, neuroscience, medicine, as well as business. This volume consists of contributed papers that have been accepted to NetScX 2020 through a rigorous peer review process. Researchers, students, and professionals will gain firsthand information about today???s cuttingedge research frontier of network science 
ISBN,Price  9783030389659 
Keyword(s)  1. COMPLEX SYSTEMS
2. Computational Mathematics and Numerical Analysis
3. Computational Social Sciences
4. Computer mathematics
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK  SPRINGER
8. Social sciences???Computer programs
9. Social sciences???Data processing
10. STATISTICAL PHYSICS
11. SYSTEM THEORY

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Call#  Status  Issued To  Return Due On  Physical Location 
I09711 


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7.


Title  Direct Methods for Solving the Boltzmann Equation and Study of Nonequilibrium Flows 
Author(s)  Aristov, V.V 
Publication  Dordrecht, 1. Imprint: Springer
2. Springer Netherlands, 2001. 
Description  XVII, 302 p : online resource 
Abstract Note  This book is concerned with the methods of solving the nonlinear Boltz?? mann equation and of investigating its possibilities for describing some aerodynamic and physical problems. This monograph is a sequel to the book 'Numerical direct solutions of the kinetic Boltzmann equation' (in Russian) which was written with F. G. Tcheremissine and published by the Computing Center of the Russian Academy of Sciences some years ago. The main purposes of these two books are almost similar, namely, the study of nonequilibrium gas flows on the basis of direct integration of the kinetic equations. Nevertheless, there are some new aspects in the way this topic is treated in the present monograph. In particular, attention is paid to the advantages of the Boltzmann equation as a tool for considering nonequi?? librium, nonlinear processes. New fields of application of the Boltzmann equation are also described. Solutions of some problems are obtained with higher accuracy. Numerical procedures, such as parallel computing, are in?? vestigated for the first time. The structure and the contents of the present book have some com?? mon features with the monograph mentioned above, although there are new issues concerning the mathematical apparatus developed so that the Boltzmann equation can be applied for new physical problems. Because of this some chapters have been rewritten and checked again and some new chapters have been added 
ISBN,Price  9789401008662 
Keyword(s)  1. CLASSICAL MECHANICS
2. COMPLEX SYSTEMS
3. Computational Mathematics and Numerical Analysis
4. Computer mathematics
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK  SPRINGER
8. MATHEMATICAL PHYSICS
9. MECHANICS
10. STATISTICAL PHYSICS
11. Statistical Physics and Dynamical Systems
12. Theoretical, Mathematical and Computational Physics

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Call#  Status  Issued To  Return Due On  Physical Location 
I11532 


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8.


Title  The Hybrid Multiscale Simulation Technology : An Introduction with Application to Astrophysical and Laboratory Plasmas 
Author(s)  Lipatov, Alexander S 
Publication  Berlin, Heidelberg, 1. Imprint: Springer
2. Springer Berlin Heidelberg, 2002. 
Description  XVIII, 403 p : online resource 
Abstract Note  This book is a comprehensive description of hybrid plasma simulation models and will provide a very useful summary and guide to the vast literature on this topic. It addresses researchers and graduate students knowledgeable about computational science and numerical analysis, and can be used in courses on astrophysical and space plasmas. It is also meant for plasma installation designers. The coupled VlasovMaxwell equations with collisions describing well the physical system are far too heavy for numerical siumulations. Hybrid models treat some aspects kinetically and some as fluids. In the first part the author discusses hybrid codes, which include a wide spectrum of description for ions, positrons, dust grains, atoms and electrons. In the second part he treats the applications to basic plasma phenomena like particle acceleration and dissipation processes as well as to the global interaction of the solar wind with nonmagnetic planets, comets, and the local interstellar medium 
ISBN,Price  9783662050125 
Keyword(s)  1. ATOMS
2. Atoms and Molecules in Strong Fields, Laser Matter Interaction
3. Computational Mathematics and Numerical Analysis
4. Computer mathematics
5. EBOOK
6. EBOOK  SPRINGER
7. Numerical and Computational Physics, Simulation
8. PHYSICS
9. PLASMA (IONIZED GASES)
10. PLASMA PHYSICS
11. SPACE SCIENCES
12. Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics)

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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I11371 


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9.


Title  A Computational Differential Geometry Approach to Grid Generation 
Author(s)  Liseikin, Vladimir D 
Publication  Berlin, Heidelberg, 1. Imprint: Springer
2. Springer Berlin Heidelberg, 2004. 
Description  XIV, 264 p : online resource 
Abstract Note  Grid technology whose achievements have significant impact on the efficiency of numerical codes still remains a rapidly advancing field of computational and applied mathematics. New achievements are being added by the creation of more sophisticated techniques, modification of the available methods, and implementation of more subtle tools as well as the results of the theories of differential equations, calculas of variations, and Riemannian geometry being applied to the formulation of grid models and analysis of grid properties. The development of comprehensive differential and variational grid gen?? eration techniques reviewed in the monographs of J. F. Thompson, Z. U. A. Warsi, C. W. Mastin, P. Knupp, S. Steinberg, V. D. Liseikin has been largely based on a popular concept in accordance with which a grid model realizing the required grid properties should be formulated through a linear combina?? tion of basic and control grid operators with weights. A typical basic grid operator is the operator responsible for the wellposedness of the grid model and construction of unfolding grids, e. g. the Laplace equations (generalized Laplace equations for surfaces) or the functional of grid smoothness which produces fixed nonfolding grids while grid clustering is controlled by source terms in differential grid formulations or by an adaptation functional in vari?? ational models. However, such a formulation does not obey the fundamental invariance laws with respect to parameterizations of physical geometries. It frequently results in cumbersome governing grid equations whose choice of weight and control functions provide conflicting grid requirements 
ISBN,Price  9783662054154 
Keyword(s)  1. Classical and Continuum Physics
2. Computational Mathematics and Numerical Analysis
3. Computer mathematics
4. Continuum physics
5. DIFFERENTIAL GEOMETRY
6. EBOOK
7. EBOOK  SPRINGER
8. Mathematical Methods in Physics
9. Numerical and Computational Physics, Simulation
10. PHYSICS

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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I11320 


On Shelf 




10.
 
Title  Bayesian Inference : Parameter Estimation and Decisions 
Author(s)  Harney, Hanns L 
Publication  Berlin, Heidelberg, 1. Imprint: Springer
2. Springer Berlin Heidelberg, 2003. 
Description  XIII, 263 p : online resource 
Abstract Note  The book provides a generalization of Gaussian error intervals to situations where the data follow nonGaussian distributions. This usually occurs in frontier science, where the observed parameter is just above background or the histogram of multiparametric data contains empty bins. Then the validity of a theory cannot be decided by the chisquaredcriterion, but this longstanding problem is solved here. The book is based on Bayes' theorem, symmetry and differential geometry. In addition to solutions of practical problems, the text provides an epistemic insight: The logic of quantum mechanics is obtained as the logic of unbiased inference from counting data. However, no knowledge of quantum mechanics is required. The text, examples and exercises are written at an introductory level 
ISBN,Price  9783662060063 
Keyword(s)  1. COMPLEX SYSTEMS
2. Computational Mathematics and Numerical Analysis
3. Computer mathematics
4. DYNAMICAL SYSTEMS
5. EBOOK
6. EBOOK  SPRINGER
7. PROBABILITIES
8. Probability Theory and Stochastic Processes
9. QUANTUM COMPUTERS
10. Quantum Information Technology, Spintronics
11. QUANTUM PHYSICS
12. SPINTRONICS
13. STATISTICAL PHYSICS
14. Statistical Theory and Methods
15. Statistics??

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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I11266 


On Shelf 



 