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Author | Title | Accn# | Year | Item Type | Claims |
| 21 |
Bricmont, J |
Chance in Physics |
I11452 |
2001 |
eBook |
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| 22 |
Milstein, Grigori Noah |
Stochastic Numerics for Mathematical Physics |
I11424 |
2004 |
eBook |
|
| 23 |
Neyman, Abraham |
Stochastic Games and Applications |
I11310 |
2003 |
eBook |
|
| 24 |
Harney, Hanns L |
Bayesian Inference |
I11266 |
2003 |
eBook |
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| 25 |
Jumarie, Guy |
Maximum Entropy, Information Without Probability and Complex Fractals |
I11255 |
2000 |
eBook |
|
| 26 |
Holevo, Alexander S |
Statistical Structure of Quantum Theory |
I11239 |
2001 |
eBook |
|
| 27 |
Mensky, M |
Quantum Measurements and Decoherence |
I11141 |
2000 |
eBook |
|
| 28 |
Mecke, Klaus R |
Statistical Physics and Spatial Statistics |
I11086 |
2000 |
eBook |
|
| 29 |
Kling, Andreas |
Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications |
I10848 |
2001 |
eBook |
|
| 30 |
Roe, Byron P |
Probability and Statistics in Experimental Physics |
I10637 |
2001 |
eBook |
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21.
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| Title | Chance in Physics : Foundations and Perspectives |
| Author(s) | Bricmont, J;D??rr, D;Galavotti, M.C;Ghirardi, G;Petruccione, F;Zanghi, Nino |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2001. |
| Description | XII, 292 p : online resource |
| Abstract Note | This selection of reviews and papers is intended to stimulate renewed reflection on the fundamental and practical aspects of probability in physics. While putting emphasis on conceptual aspects in the foundations of statistical and quantum mechanics, the book deals with the philosophy of probability in its interrelation with mathematics and physics in general. Addressing graduate students and researchers in physics and mathematics togehter with philosophers of science, the contributions avoid cumbersome technicalities in order to make the book worthwhile reading for nonspecialists and specialists alike |
| ISBN,Price | 9783540449669 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. DYNAMICAL SYSTEMS
3. EBOOK
4. EBOOK - SPRINGER
5. PHILOSOPHY
6. Philosophy, general
7. PROBABILITIES
8. Probability Theory and Stochastic Processes
9. QUANTUM PHYSICS
10. STATISTICAL PHYSICS
11. Statistical Physics and Dynamical Systems
|
| Item Type | eBook |
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| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11452 |
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On Shelf |
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22.
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| Title | Stochastic Numerics for Mathematical Physics |
| Author(s) | Milstein, Grigori Noah;Tretyakov, Michael V |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2004. |
| Description | XIX, 596 p : online resource |
| Abstract Note | Stochastic differential equations have many applications in the natural sciences. Besides, the employment of probabilistic representations together with the Monte Carlo technique allows us to reduce solution of multi-dimensional problems for partial differential equations to integration of stochastic equations. This approach leads to powerful computational mathematics that is presented in the treatise. The authors propose many new special schemes, some published here for the first time. In the second part of the book they construct numerical methods for solving complicated problems for partial differential equations occurring in practical applications, both linear and nonlinear. All the methods are presented with proofs and hence founded on rigorous reasoning, thus giving the book textbook potential. An overwhelming majority of the methods are accompanied by the corresponding numerical algorithms which are ready for implementation in practice. The book addresses researchers and graduate students in numerical analysis, physics, chemistry, and engineering as well as mathematical biology and financial mathematics |
| ISBN,Price | 9783662100639 |
| Keyword(s) | 1. Computational Science and Engineering
2. Computer mathematics
3. EBOOK
4. EBOOK - SPRINGER
5. MATHEMATICAL PHYSICS
6. NUMERICAL ANALYSIS
7. Numerical and Computational Physics, Simulation
8. PHYSICS
9. Physics, general
10. PROBABILITIES
11. Probability Theory and Stochastic Processes
12. Theoretical, Mathematical and Computational Physics
|
| Item Type | eBook |
Multi-Media Links
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Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11424 |
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On Shelf |
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23.
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| Title | Stochastic Games and Applications |
| Author(s) | Neyman, Abraham;Sorin, S |
| Publication | Dordrecht, Springer Netherlands, 2003. |
| Description | IX, 473 p : online resource |
| Abstract Note | This volume is based on lectures given at the NATO Advanced Study Institute on "Stochastic Games and Applications," which took place at Stony Brook, NY, USA, July 1999. It gives the editors great pleasure to present it on the occasion of L.S. Shapley's eightieth birthday, and on the fiftieth "birthday" of his seminal paper "Stochastic Games," with which this volume opens. We wish to thank NATO for the grant that made the Institute and this volume possible, and the Center for Game Theory in Economics of the State University of New York at Stony Brook for hosting this event. We also wish to thank the Hebrew University of Jerusalem, Israel, for providing continuing financial support, without which this project would never have been completed. In particular, we are grateful to our editorial assistant Mike Borns, whose work has been indispensable. We also would like to acknowledge the support of the Ecole Poly tech?? nique, Paris, and the Israel Science Foundation. March 2003 Abraham Neyman and Sylvain Sorin ix STOCHASTIC GAMES L.S. SHAPLEY University of California at Los Angeles Los Angeles, USA 1. Introduction In a stochastic game the play proceeds by steps from position to position, according to transition probabilities controlled jointly by the two players |
| ISBN,Price | 9789401001892 |
| Keyword(s) | 1. DECISION MAKING
2. EBOOK
3. EBOOK - SPRINGER
4. GAME THEORY
5. Game Theory, Economics, Social and Behav. Sciences
6. MATHEMATICS
7. Mathematics, general
8. OPERATIONS RESEARCH
9. Operations Research/Decision Theory
10. PROBABILITIES
11. Probability Theory and Stochastic Processes
12. SOCIAL SCIENCES
13. Social Sciences, general
|
| Item Type | eBook |
Multi-Media Links
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Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11310 |
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On Shelf |
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24.
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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??
|
| 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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25.
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| Title | Maximum Entropy, Information Without Probability and Complex Fractals : Classical and Quantum Approach |
| Author(s) | Jumarie, Guy |
| Publication | Dordrecht, Springer Netherlands, 2000. |
| Description | XIX, 270 p : online resource |
| Abstract Note | Every thought is a throw of dice. Stephane Mallarme This book is the last one of a trilogy which reports a part of our research work over nearly thirty years (we discard our non-conventional results in automatic control theory and applications on the one hand, and fuzzy sets on the other), and its main key words are Information Theory, Entropy, Maximum Entropy Principle, Linguistics, Thermodynamics, Quantum Mechanics, Fractals, Fractional Brownian Motion, Stochastic Differential Equations of Order n, Stochastic Optimal Control, Computer Vision. Our obsession has been always the same: Shannon's information theory should play a basic role in the foundations of sciences, but subject to the condition that it be suitably generalized to allow us to deal with problems which are not necessarily related to communication engineering. With this objective in mind, two questions are of utmost importance: (i) How can we introduce meaning or significance of information in Shannon's information theory? (ii) How can we define and/or measure the amount of information involved in a form or a pattern without using a probabilistic scheme? It is obligatory to find suitable answers to these problems if we want to apply Shannon's theory to science with some chance of success. For instance, its use in biology has been very disappointing, for the very reason that the meaning of information is there of basic importance, and is not involved in this approach |
| ISBN,Price | 9789401594967 |
| Keyword(s) | 1. Applications of Mathematics
2. APPLIED MATHEMATICS
3. Coding and Information Theory
4. CODING THEORY
5. COMPLEX SYSTEMS
6. DYNAMICAL SYSTEMS
7. EBOOK
8. EBOOK - SPRINGER
9. ENGINEERING MATHEMATICS
10. INFORMATION THEORY
11. PROBABILITIES
12. Probability Theory and Stochastic Processes
13. STATISTICAL PHYSICS
14. 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 |
| I11255 |
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On Shelf |
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26.
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| Title | Statistical Structure of Quantum Theory |
| Author(s) | Holevo, Alexander S |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2001. |
| Description | IX, 166 p : online resource |
| Abstract Note | New ideas on the mathematical foundations of quantum mechanics, related to the theory of quantum measurement, as well as the emergence of quantum optics, quantum electronics and optical communications have shown that the statistical structure of quantum mechanics deserves special investigation. In the meantime it has become a mature subject. In this book, the author, himself a leading researcher in this field, surveys the basic principles and results of the theory, concentrating on mathematically precise formulations. Special attention is given to the measurement dynamics. The presentation is pragmatic, concentrating on the ideas and their motivation. For detailed proofs, the readers, researchers and graduate students, are referred to the extensively documented literature |
| ISBN,Price | 9783540449980 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. DYNAMICAL SYSTEMS
3. EBOOK
4. EBOOK - SPRINGER
5. PROBABILITIES
6. Probability Theory and Stochastic Processes
7. QUANTUM PHYSICS
8. STATISTICAL PHYSICS
9. 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 |
| I11239 |
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On Shelf |
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27.
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| Title | Quantum Measurements and Decoherence : Models and Phenomenology |
| Author(s) | Mensky, M |
| Publication | Dordrecht, Springer Netherlands, 2000. |
| Description | XVI, 231 p : online resource |
| Abstract Note | Quantum measurement (Le., a measurement which is sufficiently precise for quantum effects to be essential) was always one of the most impor?? tant points in quantum mechanics because it most evidently revealed the difference between quantum and classical physics. Now quantum measure?? ment is again under active investigation, first of all because of the practical necessity of dealing with highly precise and complicated measurements. The nature of quantum measurement has become understood much bet?? ter during this new period of activity, the understanding being expressed by the concept of decoherence. This term means a physical process lead?? ing from a pure quantum state (wave function) of the system prior to the measurement to its state after the measurement which includes classical elements. More concretely, decoherence occurs as a result of the entangle?? ment of the measured system with its environment and results in the loss of phase relations between components of the wave function of the measured system. Decoherence is essentially nothing else than quantum measurement, but considered from the point of view of its physical mechanism and resolved in time. The present book is devoted to the two concepts of quantum measure?? ment and decoherence and to their interrelation, especially in the context of continuous quantum measurement |
| ISBN,Price | 9789401595667 |
| Keyword(s) | 1. Applications of Mathematics
2. APPLIED MATHEMATICS
3. EBOOK
4. EBOOK - SPRINGER
5. ENGINEERING MATHEMATICS
6. MATHEMATICAL PHYSICS
7. METAPHYSICS
8. PROBABILITIES
9. Probability Theory and Stochastic Processes
10. QUANTUM PHYSICS
11. 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 |
| I11141 |
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On Shelf |
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28.
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| Title | Statistical Physics and Spatial Statistics : The Art of Analyzing and Modeling Spatial Structures and Pattern Formation |
| Author(s) | Mecke, Klaus R;Stoyan, Dietrich |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2000. |
| Description | XII, 420 p : online resource |
| Abstract Note | Modern physics is confronted with a large variety of complex spatial patterns. Although both spatial statisticians and statistical physicists study random geometrical structures, there has been only little interaction between the two up to now because of different traditions and languages. This volume aims to change this situation by presenting in a clear way fundamental concepts of spatial statistics which are of great potential value for condensed matter physics and materials sciences in general, and for porous media, percolation and Gibbs processes in particular. Geometric aspects, in particular ideas of stochastic and integral geometry, play a central role throughout. With nonspecialist researchers and graduate students also in mind, prominent physicists give an excellent introduction here to modern ideas of statistical physics pertinent to this exciting field of research |
| ISBN,Price | 9783540450436 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. CONDENSED MATTER
3. CONDENSED MATTER PHYSICS
4. DYNAMICAL SYSTEMS
5. EBOOK
6. EBOOK - SPRINGER
7. GEOMETRY
8. PROBABILITIES
9. Probability Theory and Stochastic Processes
10. STATISTICAL PHYSICS
11. Statistical Physics and Dynamical Systems
12. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
13. Statistics??
|
| Item Type | eBook |
Multi-Media Links
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Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11086 |
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On Shelf |
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29.
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| Title | Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications : Proceedings of the Monte Carlo 2000 Conference, Lisbon, 23???26 October 2000 |
| Author(s) | Kling, Andreas;Barao, Fernando J.C;Nakagawa, Masayuki;Tavora, Luis;Vaz, Pedro |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2001. |
| Description | LII, 1192 p : online resource |
| Abstract Note | This book focusses on the state of the art of Monte Carlo methods in radiation physics and particle transport simulation and applications, the latter involving in particular, the use and development of electron--gamma, neutron--gamma and hadronic codes. Besides the basic theory and the methods employed, special attention is paid to algorithm development for modeling, and the analysis of experiments and measurements in a variety of fields ranging from particle to medical physics |
| ISBN,Price | 9783642182112 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. Atomic, Molecular, Optical and Plasma Physics
3. ATOMS
4. Computational Mathematics and Numerical Analysis
5. Computer mathematics
6. EBOOK
7. EBOOK - SPRINGER
8. NUCLEAR PHYSICS
9. Numerical and Computational Physics, Simulation
10. Particle and Nuclear Physics
11. PHYSICS
12. PROBABILITIES
13. Probability Theory and Stochastic Processes
|
| Item Type | eBook |
Multi-Media Links
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| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10848 |
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On Shelf |
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30.
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| Title | Probability and Statistics in Experimental Physics |
| Author(s) | Roe, Byron P |
| Publication | New York, NY, Springer New York, 2001. |
| Description | XII, 252 p : online resource |
| Abstract Note | Intended for advanced undergraduates and graduate students, this book is a practical guide to the use of probability and statistics in experimental physics. The emphasis is on applications and understanding, on theorems and techniques actually used in research. The text is not a comprehensive text in probability and statistics; proofs are sometimes omitted if they do not contribute to intuition in understanding the theorem. The problems, some with worked solutions, introduce the student to the use of computers; occasional reference is made to routines available in the CERN library, but other systems, such as Maple, can also be used. Topics covered include: basic concepts; definitions; some simple results independent of specific distributions; discrete distributions; the normal and other continuous distributions; generating and characteristic functions; the Monte Carlo method and computer simulations; multi-dimensional distributions; the central limit theorem; inverse probability and confidence belts; estimation methods; curve fitting and likelihood ratios; interpolating functions; fitting data with constraints; robust estimation methods. This second edition introduces a new method for dealing with small samples, such as may arise in search experiments, when the data are of low probability. It also includes a new chapter on queuing problems (including a simple, but useful buffer length example). In addition new sections discuss over- and under-coverage using confidence belts, the extended maximum-likelihood method, the use of confidence belts for discrete distributions, estimation of correlation coefficients, and the effective variance method for fitting y = f(x) when both x and y have measurement errors |
| ISBN,Price | 9781468492965 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. DYNAMICAL SYSTEMS
3. EBOOK
4. EBOOK - SPRINGER
5. PHYSICS
6. Physics, general
7. PROBABILITIES
8. Probability Theory and Stochastic Processes
9. Science, Humanities and Social Sciences, multidisciplinary
10. STATISTICAL PHYSICS
11. 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 |
| I10637 |
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On Shelf |
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