SLIM21

Sort Order Display Format Items / Page  
 
  Click the serial number on the left to view the details of the item.
 #  AuthorTitleAccn#YearItem 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 NetSci-X 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  
(page:1 / 6) [#57]    Next Page   Last Page 

1.    
No image available
TitleComputational Multiscale Modeling of Fluids and Solids : Theory and Applications
Author(s)Steinhauser, Martin Oliver
PublicationBerlin, Heidelberg, 1. Imprint: Springer 2. Springer Berlin Heidelberg, 2017.
DescriptionXXIII, 405 p. 139 illus., 34 illus. in color : online resource
Abstract NoteThe 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 length-scale. The book includes the micro-scale, the meso-scale and the macro-scale, 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,Price9783662532249
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
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I10369     On Shelf    

2.     
No image available
TitleClassical Mechanics with Maxima
Author(s)Timberlake, Todd Keene;Mixon, J. Wilson
PublicationNew York, NY, 1. Imprint: Springer 2. Springer New York, 2016.
DescriptionXI, 258 p. 156 illus : online resource
Abstract NoteThis 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 open-source, multiple-platform 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,Price9781493932078
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
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I10330     On Shelf    

3.     
No image available
TitleBasic Concepts in Computational Physics
Author(s)Stickler, Benjamin A;Schachinger, Ewald
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2016.
DescriptionXVI, 409 p : online resource
Abstract NoteThis 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 Monte-Carlo (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 worked-out solutions, chapter introductions and summaries, together with a clear and application-oriented style support the reader. Ready to use C++ codes are provided online
ISBN,Price9783319272658
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
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I10279     On Shelf    

4.     
No image available
TitleThe Lattice Boltzmann Method : Principles and Practice
Author(s)Kr??ger, Timm;Kusumaatmaja, Halim;Kuzmin, Alexandr;Shardt, Orest;Silva, Goncalo;Viggen, Erlend Magnus
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2017.
DescriptionXXIV, 694 p. 126 illus : online resource
Abstract NoteThis 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 front-loaded 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 multi-core 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,Price9783319446493
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
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I10145     On Shelf    

5.     
No image available
TitleBayesian Inference : Data Evaluation and Decisions
Author(s)Harney, Hanns Ludwig
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2016.
DescriptionXIII, 243 p. 39 illus., 3 illus. in color : online resource
Abstract NoteThis 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 chi-squared-criterion. 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,Price9783319416441
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??
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I09850     On Shelf    

6.     
No image available
TitleProceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science
Author(s)Masuda, Naoki;Goh, Kwang-Il;Jia, Tao;Yamanoi, Junichi;Sayama, Hiroki
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2020.
DescriptionX, 270 p. 81 illus., 70 illus. in color : online resource
Abstract NoteThis volume constitutes the proceedings of NetSci-X 2020: the Sixth International School and Conference on Network Science, which was held in Tokyo, Japan, in January 2020. NetSci-X 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 NetSc-X 2020 through a rigorous peer review process. Researchers, students, and professionals will gain first-hand information about today???s cutting-edge research frontier of network science
ISBN,Price9783030389659
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
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I09711     On Shelf    

7.     
No image available
TitleDirect Methods for Solving the Boltzmann Equation and Study of Nonequilibrium Flows
Author(s)Aristov, V.V
PublicationDordrecht, 1. Imprint: Springer 2. Springer Netherlands, 2001.
DescriptionXVII, 302 p : online resource
Abstract NoteThis 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,Price9789401008662
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
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I11532     On Shelf    

8.     
No image available
TitleThe Hybrid Multiscale Simulation Technology : An Introduction with Application to Astrophysical and Laboratory Plasmas
Author(s)Lipatov, Alexander S
PublicationBerlin, Heidelberg, 1. Imprint: Springer 2. Springer Berlin Heidelberg, 2002.
DescriptionXVIII, 403 p : online resource
Abstract NoteThis 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 Vlasov--Maxwell 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,Price9783662050125
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)
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I11371     On Shelf    

9.     
No image available
TitleA Computational Differential Geometry Approach to Grid Generation
Author(s)Liseikin, Vladimir D
PublicationBerlin, Heidelberg, 1. Imprint: Springer 2. Springer Berlin Heidelberg, 2004.
DescriptionXIV, 264 p : online resource
Abstract NoteGrid 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 well-posedness 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,Price9783662054154
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
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I11320     On Shelf    

10.    
No image available
TitleBayesian Inference : Parameter Estimation and Decisions
Author(s)Harney, Hanns L
PublicationBerlin, Heidelberg, 1. Imprint: Springer 2. Springer Berlin Heidelberg, 2003.
DescriptionXIII, 263 p : online resource
Abstract NoteThe book provides a generalization of Gaussian error intervals to situations where the data follow non-Gaussian 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 chi-squared-criterion, but this long-standing 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,Price9783662060063
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??
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I11266     On Shelf    

(page:1 / 6) [#57]    Next Page   Last Page