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Author | Title | Accn# | Year | Item Type | Claims |
11 |
Kr??ger, Timm |
The Lattice Boltzmann Method |
I10145 |
2017 |
eBook |
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12 |
Harney, Hanns Ludwig |
Bayesian Inference |
I09850 |
2016 |
eBook |
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13 |
Masuda, Naoki |
Proceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science |
I09711 |
2020 |
eBook |
|
14 |
Aristov, V.V |
Direct Methods for Solving the Boltzmann Equation and Study of Nonequilibrium Flows |
I11532 |
2001 |
eBook |
|
15 |
Lipatov, Alexander S |
The Hybrid Multiscale Simulation Technology |
I11371 |
2002 |
eBook |
|
16 |
Liseikin, Vladimir D |
A Computational Differential Geometry Approach to Grid Generation |
I11320 |
2004 |
eBook |
|
17 |
Harney, Hanns L |
Bayesian Inference |
I11266 |
2003 |
eBook |
|
18 |
Esposti, Mirko |
The Mathematical Aspects of Quantum Maps |
I11187 |
2003 |
eBook |
|
19 |
Haken, Hermann |
Brain Dynamics |
I11179 |
2002 |
eBook |
|
20 |
Sagaut, Pierre |
Large Eddy Simulation for Incompressible Flows |
I11081 |
2001 |
eBook |
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11.
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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, 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 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,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
|
Item Type | eBook |
Multi-Media Links
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Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I10145 |
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On Shelf |
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12.
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Title | Bayesian Inference : Data Evaluation and Decisions |
Author(s) | Harney, Hanns Ludwig |
Publication | Cham, 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 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,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??
|
Item Type | eBook |
Multi-Media Links
Please Click here for eBook
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Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I09850 |
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On Shelf |
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13.
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Title | Proceedings 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 |
Publication | Cham, Springer International Publishing, 2020. |
Description | X, 270 p. 81 illus., 70 illus. in color : online resource |
Abstract Note | This 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,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
|
Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I09711 |
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On Shelf |
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14.
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Title | Direct Methods for Solving the Boltzmann Equation and Study of Nonequilibrium Flows |
Author(s) | Aristov, V.V |
Publication | Dordrecht, 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
|
Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I11532 |
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On Shelf |
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15.
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Title | The Hybrid Multiscale Simulation Technology : An Introduction with Application to Astrophysical and Laboratory Plasmas |
Author(s) | Lipatov, Alexander S |
Publication | Berlin, Heidelberg, 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 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,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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Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I11371 |
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On Shelf |
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16.
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Title | A Computational Differential Geometry Approach to Grid Generation |
Author(s) | Liseikin, Vladimir D |
Publication | Berlin, Heidelberg, 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 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,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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Item Type | eBook |
Multi-Media Links
Please Click here for eBook
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Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I11320 |
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On Shelf |
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17.
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Title | Bayesian Inference : Parameter Estimation and Decisions |
Author(s) | Harney, Hanns L |
Publication | Berlin, Heidelberg, 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 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,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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Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I11266 |
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On Shelf |
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20.
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Title | Large Eddy Simulation for Incompressible Flows : An Introduction |
Author(s) | Sagaut, Pierre |
Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2001. |
Description | XV, 319 p : online resource |
Abstract Note | The book is unique in that it is the only one of its kind devoted entirely to the subject of (large-eddy simulation). It presents a comprehensive account of the available knowledge in this field, and also the first unified view of the various existing approaches. Large-eddy simulation is the only efficient technique for approaching high Reynolds numbers when simulating industrial, natural or experimental configurations. The author concentrates on incompressible fluids. The book gives a complete account of this young but very rich discipline. The topics are well chosen and both the mathematical ideas and the applicatons are presented with care. The book addresses researchers as well as graduate students and engineers |
ISBN,Price | 9783662044162 |
Keyword(s) | 1. Astronomy, Observations and Techniques
2. Astronomy???Observations
3. Computational Intelligence
4. Computational Mathematics and Numerical Analysis
5. Computer mathematics
6. EBOOK
7. EBOOK - SPRINGER
8. Fluid- and Aerodynamics
9. FLUIDS
10. Mathematical Methods in Physics
11. Numerical and Computational Physics, Simulation
12. Observations, Astronomical
13. PHYSICS
|
Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I11081 |
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On Shelf |
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