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Click the serial number on the left to view the details of the item. |
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Author | Title | Accn# | Year | Item Type | Claims |
61 |
Binder, Kurt |
Monte Carlo Simulation in Statistical Physics |
I06506 |
2010 |
eBook |
|
62 |
Paoletti, Guglielmo |
Deterministic Abelian Sandpile Models and Patterns |
I06406 |
2014 |
eBook |
|
63 |
Kallrath, Josef |
Eclipsing Binary Stars: Modeling and Analysis |
I06267 |
2009 |
eBook |
|
64 |
Jensen, Finn B |
Computational Ocean Acoustics |
I06203 |
2011 |
eBook |
|
65 |
Abarbanel, Henry |
Predicting the Future |
I06173 |
2013 |
eBook |
|
66 |
Boccara, Nino |
Modeling Complex Systems |
I05653 |
2010 |
eBook |
|
67 |
Sussman, Joel L |
From Molecules to Medicines |
I05408 |
2009 |
eBook |
|
68 |
Heermann, Dieter W |
Computer Simulation Methods in Theoretical Physics |
I05339 |
1986 |
eBook |
|
69 |
Wilkins, Mark L |
Computer Simulation of Dynamic Phenomena |
I04442 |
1999 |
eBook |
|
70 |
Kertesz, Janos |
Advances in Computer Simulation |
I03846 |
1998 |
eBook |
|
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61.
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Title | Monte Carlo Simulation in Statistical Physics : An Introduction |
Author(s) | Binder, Kurt;Heermann, Dieter W |
Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2010. |
Description | XIV, 202 p : online resource |
Abstract Note | Monte Carlo Simulation in Statistical Physics deals with the computer simulation of many-body systems in condensed-matter physics and related fields of physics, chemistry and beyond, to traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, probability distributions are calculated, allowing the estimation of the thermodynamic properties of various systems. This book describes the theoretical background to several variants of these Monte Carlo methods and gives a systematic presentation from which newcomers can learn to perform such simulations and to analyze their results. The fifth edition covers Classical as well as Quantum Monte Carlo methods. Furthermore a new chapter on the sampling of free-energy landscapes has been added. To help students in their work a special web server has been installed to host programs and discussion groups (http://wwwcp.tphys.uni-heidelberg.de). Prof. Binder was awarded the Berni J. Alder CECAM Award for Computational Physics 2001 as well as the Boltzmann Medal in 2007. |
ISBN,Price | 9783642031632 |
Keyword(s) | 1. COMPLEX SYSTEMS
2. COMPUTER SIMULATION
3. CONDENSED MATTER
4. CONDENSED MATTER PHYSICS
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK - SPRINGER
8. Management science
9. Mathematical Methods in Physics
10. OPERATIONS RESEARCH
11. Operations Research, Management Science
12. PHYSICAL CHEMISTRY
13. PHYSICS
14. Simulation and Modeling
15. STATISTICAL PHYSICS
|
Item Type | eBook |
Multi-Media Links
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Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I06506 |
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On Shelf |
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62.
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Title | Deterministic Abelian Sandpile Models and Patterns |
Author(s) | Paoletti, Guglielmo |
Publication | Cham, Springer International Publishing, 2014. |
Description | XII, 163 p. 64 illus., 33 illus. in color : online resource |
Abstract Note | The model investigated in this work,??a particular cellular automaton with stochastic evolution, was introduced as the simplest case of self-organized-criticality, that is, a dynamical system which shows algebraic long-range correlations without any tuning of parameters.???? The author??derives exact results which are potentially also interesting outside the area of critical phenomena. Exact means also site-by-site and not only ensemble average or coarse graining. Very complex and amazingly beautiful periodic patterns are often generated by the dynamics involved, especially in deterministic protocols in which the sand is added??at chosen sites. For example, the author studies the appearance of allometric structures, that is, patterns which grow in the same way in their whole body, and not only near their boundaries, as commonly occurs. The local conservation laws which govern the evolution of these patterns are also presented. This work has already??attracted interest,??not only in non-equilibrium statistical mechanics, but also in mathematics, both in probability and in combinatorics. There are also interesting connections with number theory. Lastly, it also poses new questions??about an old subject. As such, it will be of interest to computer practitioners, demonstrating the simplicity with which charming patterns can be obtained, as well as to researchers working in many other areas |
ISBN,Price | 9783319012049 |
Keyword(s) | 1. COMPLEX SYSTEMS
2. COMPUTER SIMULATION
3. DYNAMICAL SYSTEMS
4. EBOOK
5. EBOOK - SPRINGER
6. MATHEMATICAL PHYSICS
7. Numerical and Computational Physics, Simulation
8. PHYSICS
9. PROBABILITIES
10. Probability Theory and Stochastic Processes
11. Simulation and Modeling
12. STATISTICAL PHYSICS
13. Statistical Physics and Dynamical Systems
|
Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I06406 |
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On Shelf |
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63.
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Title | Eclipsing Binary Stars: Modeling and Analysis |
Author(s) | Kallrath, Josef;Milone, Eugene F |
Publication | New York, NY, Springer New York, 2009. |
Description | XXIX, 420 p. 88 illus : online resource |
Abstract Note | Eclipsing Binary Stars focuses on the mathematical formulation of astrophysical models for the light curves of eclipsing binaries stars, and on the algorithms for evaluating and exploiting such models. Since information gained from binary systems provides much of what we know of the masses, luminosities, and radii of stars, such modeling is acquiring increasing importance in studies of stellar structure and evolution. As in other areas of science, the computer revolution has given many astronomers tools that previously only specialists could use; anyone with access to a set of data can now expect to be able to model it. This book will provide astronomers, both amateurs and professionals, with a guide for ??? specifying an astrophysical model for a set of observations ??? selecting an algorithm to determine the parameters of the model ??? estimating the errors of the parameters Eclipsing Binary Stars is written for readers familiar with basic calculus and linear algebra; appendices cover mathematical details on such matters as optimization, coordinate systems, and specific models. This 2nd edition includes new physics in light curve models and distance fitting and implications on T1. Other improvements include, new features in the WD program, new applications in astronomy and astrophysics, new literature cases, Milone's papers and new software developments in the eclipsing binary community |
ISBN,Price | 9781441906991 |
Keyword(s) | 1. ASTROPHYSICS
2. Astrophysics and Astroparticles
3. COMPUTER SIMULATION
4. EBOOK
5. EBOOK - SPRINGER
6. Simulation and Modeling
7. SPACE SCIENCES
8. Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics)
|
Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I06267 |
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On Shelf |
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64.
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Title | Computational Ocean Acoustics |
Author(s) | Jensen, Finn B;Kuperman, William A;Porter, Michael B;Schmidt, Henrik |
Publication | New York, NY, Springer New York, 2011. |
Description | XVIII, 794 p. 299 illus., 217 illus. in color : online resource |
Abstract Note | Since the mid-1970s, the computer has played an increasingly pivotal role in the field of ocean acoustics. Faster and less expensive than actual ocean experiments, and capable of accommodating the full complexity of the acoustic problem, numerical models are now standard research tools in ocean laboratories. The progress made in computational ocean acoustics over the last thirty years is summed up in this authoritative and innovatively illustrated new text. Written by some of the field's pioneers, all Fellows of the Acoustical Society of America, Computational Ocean Acoustics presents the latest numerical techniques for solving the wave equation in heterogeneous fluid???solid media. The authors discuss various computational schemes in detail, emphasizing the importance of theoretical foundations that lead directly to numerical??implementations for real ocean environments. To further clarify the presentation, the fundamental propagation features of the techniques are illustrated in color. Computational Ocean Acoustics??conveys the state-of-the-art of numerical modeling techniques for graduate and undergraduate students of acoustics, geology and geophysics, applied mathematics, and ocean engineering. It is also an essential addition to the libraries of ocean research institutions that use propagation models |
ISBN,Price | 9781441986788 |
Keyword(s) | 1. Acoustical engineering
2. ACOUSTICS
3. COMPUTER SIMULATION
4. EBOOK
5. EBOOK - SPRINGER
6. Engineering Acoustics
7. OCEANOGRAPHY
8. Simulation and Modeling
|
Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I06203 |
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On Shelf |
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65.
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Title | Predicting the Future : Completing Models of Observed Complex Systems |
Author(s) | Abarbanel, Henry |
Publication | New York, NY, Springer New York, 2013. |
Description | XVI, 238 p. 97 illus., 91 illus. in color : online resource |
Abstract Note | Predicting the Future: Completing Models of Observed Complex Systems provides a general framework for the discussion of model building and validation across a broad spectrum of disciplines. This is accomplished through the development of an exact path integral for use in transferring information from observations to a model of the observed system. Through many illustrative examples drawn from models in neuroscience, fluid dynamics, geosciences, and nonlinear electrical circuits, the concepts are exemplified in detail. Practical numerical methods for approximate evaluations of the path integral are explored, and their use in designing experiments and determining a model's consistency with observations is investigated. Using highly instructive examples, the problems of data assimilation and the means to treat them are clearly illustrated. This book will be useful for students and practitioners of physics, neuroscience, regulatory networks, meteorology and climate science, network dynamics, fluid dynamics, and other systematic investigations of complex systems |
ISBN,Price | 9781461472186 |
Keyword(s) | 1. COMPLEX SYSTEMS
2. COMPUTER SIMULATION
3. DYNAMICAL SYSTEMS
4. EBOOK
5. EBOOK - SPRINGER
6. Neurosciences
7. Numerical and Computational Physics, Simulation
8. PHYSICS
9. Simulation and Modeling
10. STATISTICAL PHYSICS
11. Statistical Physics and Dynamical Systems
12. SYSTEM THEORY
|
Item Type | eBook |
Multi-Media Links
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Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I06173 |
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On Shelf |
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66.
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Title | Modeling Complex Systems |
Author(s) | Boccara, Nino |
Publication | New York, NY, Springer New York, 2010. |
Description | XVIII, 490 p : online resource |
Abstract Note | Modeling Complex Systems, 2nd Edition, explores the process of modeling complex systems, providing examples from such diverse fields as ecology, epidemiology, sociology, seismology, and economics. It illustrates how models of complex systems are built and provides indispensable mathematical tools for studying their dynamics. This vital introductory text is useful for advanced undergraduate students in various scientific disciplines, and serves as an important reference book for graduate students and young researchers. This enhanced second edition includes: . -recent research results and bibliographic references -extra footnotes which provide biographical information on cited scientists who have made significant contributions to the field -new and improved worked-out examples to aid a student???s comprehension of the content -exercises to challenge the reader and complement the material Nino Boccara is also the author of Essentials of Mathematica: With Applications to Mathematics and Physics (Springer, 2007) |
ISBN,Price | 9781441965622 |
Keyword(s) | 1. Algorithm Analysis and Problem Complexity
2. ALGORITHMS
3. COMPLEX SYSTEMS
4. Computational Mathematics and Numerical Analysis
5. Computational Science and Engineering
6. Computer mathematics
7. COMPUTER SIMULATION
8. DYNAMICAL SYSTEMS
9. EBOOK
10. EBOOK - SPRINGER
11. Numerical and Computational Physics, Simulation
12. PHYSICS
13. Simulation and Modeling
14. STATISTICAL PHYSICS
|
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 |
I05653 |
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On Shelf |
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68.
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Title | Computer Simulation Methods in Theoretical Physics |
Author(s) | Heermann, Dieter W |
Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1986. |
Description | online resource |
Abstract Note | Appropriately for a book having the title "Computer Simulation Methods in Theoretical Physics", this book begins with a disclai?? mer. It does not and cannot give a complete introduction to simu?? lational physics. This exciting field is too new and is expanding too rapidly for even an attempt to be made. The intention here is to present a selection of fundamental techniques that are now being widely applied in many areas of physics, mathematics, chem?? istry and biology. It is worth noting that the methods are not only applicable in physics. They have been successfully used in other sciences, showing their great flexibility and power. This book has two main chapters (Chaps. 3 and 4) dealing with deterministic and stochastic computer simulation methods. Under the heading "deterministic" are collected methods involving classical dynamics, i.e. classical equations of motion, which have become known as the molecular dynamics simulation method. The se?? cond main chapter deals with methods that are partly or entirely of a stochastic nature. These include Brownian dynamics and the Monte Carlo method. To aid understanding of the material and to develop intuition, problems are included at the end of each chapter. Upon a first reading, the reader is advised to skip Chapter 2, which is a general introduction to computer simUlation methods |
ISBN,Price | 9783642969713 |
Keyword(s) | 1. COMPLEXITY
2. COMPUTATIONAL COMPLEXITY
3. COMPUTER SIMULATION
4. EBOOK
5. EBOOK - SPRINGER
6. Mathematical Methods in Physics
7. Numerical and Computational Physics, Simulation
8. PHYSICS
9. Simulation and Modeling
|
Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I05339 |
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On Shelf |
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69.
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Title | Computer Simulation of Dynamic Phenomena |
Author(s) | Wilkins, Mark L |
Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1999. |
Description | XVI, 246 p : online resource |
Abstract Note | Preferred finite difference schemes in one, two, and three space dimensions are described for solving the three fundamental equations of mechanics (conservation of mass, conservation of momentum, and conservation of energy). Models of the behavior of materials provide the closure to the three fundamentals equations for applications to problems in compressible fluid flow and solid mechanics. The use of Lagrange coordinates permits the history of mass elements to be followed where the integrated effects of plasticity and external loads change the material physical properties. Models of fracture, including size effects, are described. The detonation of explosives is modelled following the Chapman--Jouget theory with equations of state for the detonation products derived from experiments. An equation-of-state library for solids and explosives is presented with theoretical models that incorporate experimental data from the open literature. The versatility of the simulation programs is demonstrated by applications to the calculations of surface waves from an earthquake to the shock waves from supersonic flow and other examples |
ISBN,Price | 9783662038857 |
Keyword(s) | 1. APPLIED MATHEMATICS
2. Classical and Continuum Physics
3. Computational Science and Engineering
4. Computer mathematics
5. COMPUTER SIMULATION
6. CONDENSED MATTER
7. CONDENSED MATTER PHYSICS
8. Continuum physics
9. EBOOK
10. EBOOK - SPRINGER
11. ENGINEERING MATHEMATICS
12. Mathematical and Computational Engineering
13. MATHEMATICAL PHYSICS
14. Simulation and Modeling
15. Theoretical, Mathematical and Computational Physics
|
Item Type | eBook |
Multi-Media Links
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Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I04442 |
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On Shelf |
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70.
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Title | Advances in Computer Simulation : Lectures Held at the E??tv??s Summer School in Budapest, Hungary, 16???20 July 1996 |
Author(s) | Kertesz, Janos;Kondor, Imre |
Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1998. |
Description | VIII, 168 p. 35 illus : online resource |
Abstract Note | Computer simulation has become a basic tool in many branches of physics such as statistical physics, particle physics, or materials science. The application of efficient algorithms is at least as important as good hardware in large-scale computation. This volume contains didactic lectures on such techniques based on physical insight. The emphasis is on Monte Carlo methods (introduction, cluster algorithms, reweighting and multihistogram techniques, umbrella sampling), efficient data analysis and optimization methods, but aspects of supercomputing, the solution of stochastic differential equations, and molecular dynamics are also discussed. The book addresses graduate students and researchers in theoretical and computational physics |
ISBN,Price | 9783540696759 |
Keyword(s) | 1. Atomic, Molecular, Optical and Plasma Physics
2. ATOMS
3. COMPLEX SYSTEMS
4. COMPUTER SIMULATION
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK - SPRINGER
8. Mathematical Methods in Physics
9. Numerical and Computational Physics, Simulation
10. PHYSICS
11. Simulation and Modeling
12. STATISTICAL PHYSICS
13. Statistical Physics and Dynamical Systems
|
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 |
I03846 |
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On Shelf |
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