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Author | Title | Accn# | Year | Item Type | Claims |
| 11 |
Z??ller, Nikolas |
Optimization of Stochastic Heat Engines in the Underdamped Limit |
I09647 |
2017 |
eBook |
|
| 12 |
Ashcroft, Peter |
The Statistical Physics of Fixation and Equilibration in Individual-Based Models |
I09637 |
2016 |
eBook |
|
| 13 |
Strathearn, Aidan |
Modelling Non-Markovian Quantum Systems Using Tensor Networks |
I09121 |
2020 |
eBook |
|
| 14 |
Cufaro Petroni, Nicola |
Probability and Stochastic Processes for Physicists |
I09108 |
2020 |
eBook |
|
| 15 |
Tarpin, Malo |
Non-perturbative Renormalization Group Approach to Some Out-of-Equilibrium Systems |
I09095 |
2020 |
eBook |
|
| 16 |
Skiadas, Christos H |
Fractional Dynamics, Anomalous Transport and Plasma Science |
I08971 |
2018 |
eBook |
|
| 17 |
Lawrence, Andy |
Probability in Physics |
I08777 |
2019 |
eBook |
|
| 18 |
Rahimi Tabar, M. Reza |
Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems |
I08774 |
2019 |
eBook |
|
| 19 |
Accardi, Luigi |
Quantum Theory and Its Stochastic Limit |
I11590 |
2002 |
eBook |
|
| 20 |
Bolivar, A. O |
Quantum-Classical Correspondence |
I11572 |
2004 |
eBook |
|
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11.
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| Title | Optimization of Stochastic Heat Engines in the Underdamped Limit |
| Author(s) | Z??ller, Nikolas |
| Publication | Wiesbaden, 1. Imprint: Springer Spektrum
2. Springer Fachmedien Wiesbaden, 2017. |
| Description | IX, 91 p. 33 illus : online resource |
| Abstract Note | Nikolas Z??ller examines the working principles and the underlying theoretical foundations of a microscopic heat engine. In particular, he investigates the system???s stochastic dynamics in the underdamped regime which has hardly been studied in the past, but will be experimentally feasible in the near future due to recent technological developments. Emphasis is put on the maximization of the engine???s efficiency at maximum power through optimization of the driving protocol. In addition, possible experimental realizations of a microscopic heat engine are discussed. Contents ??? Stochastic Dynamics ??? Stochastic Heat Engines in the Overdamped and Underdamped Regime ??? Experimental Realization of a Stochastic Heat Engine ??? Entropy Production in Inhomogeneous Thermal Environments Target Groups ??? Lecturers and students of physics, mathematics, especially physical engineering ??? Experimental physicists The Author Nikolas Z??ller is currently working as a research associate at the Institute for Urban Futures at the Applied University of Potsdam where he applies concepts from theoretical physics and statistics to sociological problems |
| ISBN,Price | 9783658163501 |
| Keyword(s) | 1. Atomic, Molecular, Optical and Plasma Physics
2. ATOMS
3. EBOOK
4. EBOOK - SPRINGER
5. MATHEMATICAL PHYSICS
6. PHYSICS
7. PROBABILITIES
8. Probability Theory and Stochastic Processes
9. 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 |
| I09647 |
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On Shelf |
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12.
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| Title | The Statistical Physics of Fixation and Equilibration in Individual-Based Models |
| Author(s) | Ashcroft, Peter |
| Publication | Cham, Springer International Publishing, 2016. |
| Description | XV, 164 p. 63 illus., 13 illus. in color : online resource |
| Abstract Note | This thesis explores several interdisciplinary topics at the border of theoretical physics and biology, presenting results that demonstrate the power of methods from statistical physics when applied to neighbouring disciplines. From birth-death processes in switching environments to discussions on the meaning of quasi-potential landscapes in high-dimensional spaces, this thesis is a shining example of the efficacy of interdisciplinary research. The fields advanced in this work include game theory, the dynamics of cancer, and invasion of mutants in resident populations, as well as general contributions to the theory of stochastic processes. The background material provides an intuitive introduction to the theory and applications of stochastic population dynamics, and the use of techniques from statistical physics in their analysis. The thesis then builds on these foundations to address problems motivated by biological phenomena |
| ISBN,Price | 9783319412139 |
| Keyword(s) | 1. BIOINFORMATICS
2. BIOMATHEMATICS
3. Cancer Research
4. Data-driven Science, Modeling and Theory Building
5. EBOOK
6. EBOOK - SPRINGER
7. ECONOPHYSICS
8. GAME THEORY
9. Game Theory, Economics, Social and Behav. Sciences
10. Mathematical and Computational Biology
11. PROBABILITIES
12. Probability Theory and Stochastic Processes
13. Sociophysics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09637 |
|
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On Shelf |
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13.
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| Title | Modelling Non-Markovian Quantum Systems Using Tensor Networks |
| Author(s) | Strathearn, Aidan |
| Publication | Cham, Springer International Publishing, 2020. |
| Description | XV, 103 p. 64 illus., 15 illus. in color : online resource |
| Abstract Note | This thesis presents a revolutionary technique for modelling the dynamics of a quantum system that is strongly coupled to its immediate environment. This is a challenging but timely problem. In particular it is relevant for modelling decoherence in devices such as quantum information processors, and how quantum information moves between spatially separated parts of a quantum system. The key feature of this work is a novel way to represent the dynamics of general open quantum systems as tensor networks, a result which has connections with the Feynman operator calculus and process tensor approaches to quantum mechanics. The tensor network methodology developed here has proven to be extremely powerful: For many situations it may be the most efficient way of calculating open quantum dynamics. This work is abounds with new ideas and invention, and is likely to have a very significant impact on future generations of physicists |
| ISBN,Price | 9783030549756 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. MATHEMATICAL PHYSICS
4. PROBABILITIES
5. Probability Theory and Stochastic Processes
6. QUANTUM PHYSICS
7. Statistics and Computing/Statistics Programs
8. Statistics??
9. 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 |
| I09121 |
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On Shelf |
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14.
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| Title | Probability and Stochastic Processes for Physicists |
| Author(s) | Cufaro Petroni, Nicola |
| Publication | Cham, Springer International Publishing, 2020. |
| Description | XIII, 373 p. 51 illus., 43 illus. in color : online resource |
| Abstract Note | This book seeks to bridge the gap between the parlance, the models, and even the notations used by physicists and those used by mathematicians when it comes to the topic of probability and stochastic processes. The opening four chapters elucidate the basic concepts of probability, including probability spaces and measures, random variables, and limit theorems. Here, the focus is mainly on models and ideas rather than the mathematical tools. The discussion of limit theorems serves as a gateway to extensive coverage of the theory of stochastic processes, including, for example, stationarity and ergodicity, Poisson and Wiener processes and their trajectories, other Markov processes, jump-diffusion processes, stochastic calculus, and stochastic differential equations. All these conceptual tools then converge in a dynamical theory of Brownian motion that compares the Einstein???Smoluchowski and Ornstein???Uhlenbeck approaches, highlighting the most important ideas that finally led to a connection between the Schr??dinger equation and diffusion processes along the lines of Nelson???s stochastic mechanics. A series of appendices cover particular details and calculations, and offer concise treatments of particular thought-provoking topics |
| ISBN,Price | 9783030484088 |
| Keyword(s) | 1. DYNAMICAL SYSTEMS
2. Dynamical Systems and Ergodic Theory
3. DYNAMICS
4. EBOOK
5. EBOOK - SPRINGER
6. ERGODIC THEORY
7. Mathematical Methods in Physics
8. MATHEMATICAL PHYSICS
9. PHYSICS
10. PROBABILITIES
11. Probability Theory and Stochastic Processes
12. QUANTUM PHYSICS
13. Theoretical, Mathematical and Computational Physics
14. VIBRATION
15. Vibration, Dynamical Systems, Control
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09108 |
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On Shelf |
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15.
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| Title | Non-perturbative Renormalization Group Approach to Some Out-of-Equilibrium Systems : Diffusive Epidemic Process and Fully Developed Turbulence |
| Author(s) | Tarpin, Malo |
| Publication | Cham, Springer International Publishing, 2020. |
| Description | XV, 207 p. 21 illus : online resource |
| Abstract Note | This thesis presents the application of non-perturbative, or functional, renormalization group to study the physics of critical stationary states in systems out-of-equilibrium. Two different systems are thereby studied. The first system is the diffusive epidemic process, a stochastic process which models the propagation of an epidemic within a population. This model exhibits a phase transition peculiar to out-of-equilibrium, between a stationary state where the epidemic is extinct and one where it survives. The present study helps to clarify subtle issues about the underlying symmetries of this process and the possible universality classes of its phase transition. The second system is fully developed homogeneous isotropic and incompressible turbulence. The stationary state of this driven-dissipative system shows an energy cascade whose phenomenology is complex, with partial scale-invariance, intertwined with what is called intermittency. In this work, analytical expressions for the space-time dependence of multi-point correlation functions of the turbulent state in 2- and 3-D are derived. This result is noteworthy in that it does not rely on phenomenological input except from the Navier-Stokes equation and that it becomes exact in the physically relevant limit of large wave-numbers. The obtained correlation functions show how scale invariance is broken in a subtle way, related to intermittency corrections |
| ISBN,Price | 9783030398712 |
| Keyword(s) | 1. Applications of Nonlinear Dynamics and Chaos Theory
2. EBOOK
3. EBOOK - SPRINGER
4. Phase transitions (Statistical physics)
5. Phase Transitions and Multiphase Systems
6. PROBABILITIES
7. Probability Theory and Stochastic Processes
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 |
| I09095 |
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On Shelf |
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16.
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| Title | Fractional Dynamics, Anomalous Transport and Plasma Science : Lectures from CHAOS2017 |
| Author(s) | Skiadas, Christos H |
| Publication | Cham, Springer International Publishing, 2018. |
| Description | XI, 201 p. 57 illus., 33 illus. in color : online resource |
| Abstract Note | This book collects interrelated lectures on fractal dynamics, anomalous transport and various historical and modern aspects of plasma sciences and technology. The origins of plasma science in connection to electricity and electric charges and devices leading to arc plasma are explored in the first contribution by Jean-Marc Ginoux and Thomas Cuff. The second important historic connection with plasmas was magnetism and the magnetron. Victor J. Law and Denis P. Dowling, in the second contribution, review the history of the magnetron based on the development of thermionic diode valves and related devices. In the third chapter, Christos H Skiadas and Charilaos Skiadas present and apply diffusion theory and solution strategies to a number of stochastic processes of interest. Anomalous diffusion by the fractional Fokker-Planck equation and L??vy stable processes are studied by Johan Anderson and Sara Moradi in the fourth contribution. They consider the motion of charged particles in a 3-dimensional magnetic field in the presence of linear friction and of a stochastic electric field. Analysis of low-frequency instabilities in a low-temperature magnetized plasma is presented by Dan-Gheorghe Dimitriu, Maricel Agop in the fifth chapter. The authors refer to experimental results of the Innsbruck Q-machine and provide an analytical formulation of the related theory. In chapter six, Stefan Irimiciuc, Dan-Gheorghe Dimitriu, Maricel Agop propose a theoretical model to explain the dynamics of charged particles in a plasma discharge with a strong flux of electrons from one plasma structure to another. The theory and applications of fractional derivatives in many-particle disordered large systems are explored by Z.Z. Alisultanov, A.M. Agalarov, A.A. Potapov, G.B. Ragimkhanov. In chapter eight, Maricel Agop, Alina Gavrilut?? and Gabriel Crumpei explore the motion of physical systems that take place on continuous but non-differentiable curves (fractal curves). Finally in the last chapter S.L. Cherkas and V.L. Kalashnikov consider the perturbations of a plasma consisting of photons, baryons, and electrons in a linearly expanding (Milne-like) universe taking into account the metric tensor and vacuum perturbations. |
| ISBN,Price | 9783030044831 |
| Keyword(s) | 1. Applications of Nonlinear Dynamics and Chaos Theory
2. APPLIED MATHEMATICS
3. EBOOK
4. EBOOK - SPRINGER
5. ENGINEERING MATHEMATICS
6. Mathematical and Computational Engineering
7. PLASMA (IONIZED GASES)
8. PLASMA PHYSICS
9. PROBABILITIES
10. Probability Theory and Stochastic Processes
11. STATISTICAL PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08971 |
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On Shelf |
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17.
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| Title | Probability in Physics : An Introductory Guide |
| Author(s) | Lawrence, Andy |
| Publication | Cham, Springer International Publishing, 2019. |
| Description | XXIV, 347 p. 79 illus., 13 illus. in color : online resource |
| Abstract Note | This textbook presents an introduction to the use of probability in physics, treating introductory ideas of both statistical physics and of statistical inference, as well the importance of probability in information theory, quantum mechanics, and stochastic processes, in a unified manner. The book also presents a harmonised view of frequentist and Bayesian approaches to inference, emphasising their complementary value. The aim is to steer a middle course between the "cookbook" style and an overly dry mathematical statistics style. The treatment is driven by real physics examples throughout, but developed with a level of mathematical clarity and rigour appropriate to mid-career physics undergraduates. Exercises and solutions are included |
| ISBN,Price | 9783030045449 |
| Keyword(s) | 1. ASTRONOMY
2. Astronomy, Astrophysics and Cosmology
3. ASTROPHYSICS
4. COMPLEX SYSTEMS
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK - SPRINGER
8. Mathematical Methods in Physics
9. PHYSICS
10. PROBABILITIES
11. Probability Theory and Stochastic Processes
12. STATISTICAL PHYSICS
13. Statistical Physics and Dynamical Systems
14. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
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 |
| I08777 |
|
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On Shelf |
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18.
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| Title | Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems : Using the Methods of Stochastic Processes |
| Author(s) | Rahimi Tabar, M. Reza |
| Publication | Cham, Springer International Publishing, 2019. |
| Description | XVIII, 280 p. 41 illus., 22 illus. in color : online resource |
| Abstract Note | This book focuses on a central question in the field of complex systems: Given a fluctuating (in time or space), uni- or multi-variant sequentially measured set of experimental data (even noisy data), how should one analyse non-parametrically the data, assess underlying trends, uncover characteristics of the fluctuations (including diffusion and jump contributions), and construct a stochastic evolution equation? Here, the term "non-parametrically" exemplifies that all the functions and parameters of the constructed stochastic evolution equation can be determined directly from the measured data. The book provides an overview of methods that have been developed for the analysis of fluctuating time series and of spatially disordered structures. Thanks to its feasibility and simplicity, it has been successfully applied to fluctuating time series and spatially disordered structures of complex systems studied in scientific fields such as physics, astrophysics, meteorology, earth science, engineering, finance, medicine and the neurosciences, and has led to a number of important results. The book also includes the numerical and analytical approaches to the analyses of complex time series that are most common in the physical and natural sciences. Further, it is self-contained and readily accessible to students, scientists, and researchers who are familiar with traditional methods of mathematics, such as ordinary, and partial differential equations. The codes for analysing continuous time series are available in an R package developed by the research group Turbulence, Wind energy and Stochastic (TWiSt) at the Carl von Ossietzky University of Oldenburg under the supervision of Prof. Dr. Joachim Peinke. This package makes it possible to extract the (stochastic) evolution equation underlying a set of data or measurements |
| ISBN,Price | 9783030184728 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. COMPLEXITY
3. COMPUTATIONAL COMPLEXITY
4. DYNAMICAL SYSTEMS
5. EBOOK
6. EBOOK - SPRINGER
7. ECONOMIC THEORY
8. Economic Theory/Quantitative Economics/Mathematical Methods
9. Neurosciences
10. PROBABILITIES
11. Probability Theory and Stochastic Processes
12. STATISTICAL PHYSICS
13. 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 |
| I08774 |
|
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On Shelf |
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19.
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| Title | Quantum Theory and Its Stochastic Limit |
| Author(s) | Accardi, Luigi;Lu, Yun Gang;Volovich, Igor |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2002. |
| Description | XX, 474 p : online resource |
| Abstract Note | The subject of this book is a new mathematical technique, the stochastic limit developed for solving nonlinear problems in quantum theory involving systems with infinitely many degrees of freedom (typically quantum fields or gases in the thermodynamic limit). This technique is condensed into some easily applied rules (called "stochastic golden rules") which allow to single out the dominating contributions to the dynamical evolution of systems in regimes involving long times and small effects. In the stochastic limit the original Hamiltonian theory is approximated using a new Hamiltonian theory which is singular. These singular Hamiltonians still define a unitary evolution and the new equations give much more insight into the relevant physical phenomena than the original Hamiltonian equations. Especially, one can explicitly compute multi-time correlations (e.g. photon statistics) or coherent vectors, which are beyond the reach of typical asymptotic techniques as well as deduce in the Hamiltonian framework the widely used stochastic Schr??dinger equation and the master equation. This monograph is well suited as a textbook in the emerging field of stochastic limit techniques in quantum theory |
| ISBN,Price | 9783662049297 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. PROBABILITIES
4. Probability Theory and Stochastic Processes
5. QUANTUM COMPUTERS
6. Quantum Information Technology, Spintronics
7. QUANTUM PHYSICS
8. SPINTRONICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11590 |
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On Shelf |
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