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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
by Nicola Manini |
Introduction to the Physics of Matter |
I02403 |
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Book |
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| 2 |
Guglielmo Paoletti |
Deterministic Abelian sandpile models and patterns |
I02371 |
|
eBook |
|
| 3 |
Tomislav Stankovski |
Tackling the inverse problem for non-autonomous systems |
I02342 |
|
eBook |
|
| 4 |
Massimiliano Bonamente |
Statistics and analysis of scientific data |
I02316 |
|
eBook |
|
| 5 |
Dirk Helbing (ed.) |
Social self-organization |
I01885 |
2012 |
eBook |
|
| 6 |
Malte Henkel (ed.) |
Conformal invariance |
I01870 |
2012 |
eBook |
|
| 7 |
Helmut Satz |
Extreme states of matter in strong interaction physics |
I01852 |
2012 |
eBook |
|
| 8 |
Daniel C. Cabra (ed.) |
Modern theories of many-particle systems in condensed matter physics |
I01793 |
2012 |
eBook |
|
| 9 |
Juval Portugali |
Complexity, cognition and the city |
I01769 |
2011 |
eBook |
|
| 10 |
Santo Banerjee (ed.) |
Applications of chaos and nonlinear dynamics in engineering |
I01689 |
2011 |
eBook |
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1.
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| Title | Introduction to the Physics of Matter : Basic atomic, molecular, and solid-state physics |
| Author(s) | by Nicola Manini |
| Description | XI, 276 p. 165 illus., 59 illus. in color : online resource |
| Abstract Note | This book offers an up-to-date, compact presentation of basic topics in the physics of matter, from atoms to molecules to solids, including elements of statistical mechanics. The adiabatic separation of the motion of electrons and nuclei in matter and its spectroscopic implications are outlined for molecules and recalled regularly in the study of the dynamics of gases and solids. Numerous experiments are described and more than 160 figures give a clear visual impression of the main concepts. Sufficient detail of mathematical derivations is provided to enable students to follow easily. The focus is on present-day understanding and especially on phenomena fitting various independent-particle models. The historical development of this understanding, and phenomena such as magnetism and superconductivity, where interparticle interactions and nonadiabatic effects play a crucial role, are mostly omitted. A final outlook section stimulates the curiosity of the reader to pursue the study of such advanced topics in graduate courses |
| Contents Note | Introduction -- Basic ingredients -- Typical scales -- Atoms -- One-electron atom/ions -- Many-electron atoms -- Molecules -- The adiabatic separation -- Chemical and nonchemical bonding -- Statistical physics -- Equilibrium ensembles -- Ideal systems -- Solids -- The microscopic structure of solids -- Electrons in crystals |
| Keyword(s) | 1. Atomic/Molecular Structure and Spectra
2. CONDENSED MATTER PHYSICS
3. PHYSICS
4. QUANTUM PHYSICS
5. QUANTUM THEORY
6. Statistical Physics, Dynamical Systems and Complexity
7. THERMODYNAMICS
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| Item Type | Book |
Multi-Media Links
media link description
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I02403 |
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On Shelf |
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2.
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| Title | Deterministic Abelian sandpile models and patterns |
| Author(s) | Guglielmo Paoletti |
| Description | 1 online resource (xii, 163 pages) : illustrations |
| 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 |
| Contents Note | Introduction -- The Abelian Sandpile Model -- Algebraic structure -- Identity characterization -- Pattern formation -- Conclusions -- SL(2, Z) -- Complex notation for vectors in R2 -- Generalized quadratic Bezier curve -- Tessellation |
| Notes | Includes bibliographical references |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. Functions, Abelian
4. MATHEMATICAL PHYSICS
5. MATHEMATICS / Calculus
6. MATHEMATICS / Mathematical Analysis
7. Numerical and Computational Physics
8. Probability Theory and Stochastic Processes
9. Simulation and Modeling
10. Statistical Physics, Dynamical Systems and Complexity
|
| Item Type | eBook |
Multi-Media Links
Please Click Here for the Online Book
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I02371 |
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On Shelf |
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3.
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| Title | Tackling the inverse problem for non-autonomous systems : application to the life sciences |
| Author(s) | Tomislav Stankovski |
| Description | 1 online resource (xv, 135 pages) : illustrations (some color) |
| Abstract Note | This thesis presents a new method for following evolving interactions between coupled oscillatory systems of the kind that abound in nature. Examples range from the subcellular level, to ecosystems, through climate dynamics, to the movements of planets and stars. Such systems mutually interact, adjusting their internal clocks, and may correspondingly move between synchronized and non-synchronized states. The thesis describes a way of using Bayesian inference to exploit the presence of random fluctuations, thus analyzing these processes in unprecedented detail. It first develops the basic theory of interacting oscillators whose frequencies are non-constant, and then applies it to the human heart and lungs as an example. Their coupling function can be used to follow with great precision the transitions into and out of synchronization. The method described has the potential to illuminate the ageing process as well as to improve diagnostics in cardiology, anesthesiology and neuroscience, and yields insights into a wide diversity of natural processes |
| Contents Note | Theoretical background: non-autonomous systems and synchronization -- Inference of time-evolving coupled dynamical systems in the presence of noise -- Application to life sciences -- Analogue simulation and synchronization analysis of non-autonomous oscillators |
| Notes | Includes bibliographical references |
| Keyword(s) | 1. Bayesian statistical decision theory
2. Computer Appl. in Life Sciences
3. EBOOK
4. EBOOK - SPRINGER
5. Inverse problems (Differential equations)
6. Math. Appl. in Environmental Science
7. MATHEMATICAL PHYSICS
8. PHYSICS
9. Probability Theory and Stochastic Processes
10. SCIENCE / Energy
11. SCIENCE / Mechanics / General
12. SCIENCE / Physics / General
13. Statistical Physics, Dynamical Systems and Complexity
14. Theoretical, Mathematical and Computational Physics
|
| Item Type | eBook |
Multi-Media Links
Please Click Here for the Online Book
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I02342 |
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On Shelf |
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4.
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| Title | Statistics and analysis of scientific data |
| Author(s) | Massimiliano Bonamente |
| Description | 1 online resource (xv, 301 pages) : illustrations |
| Abstract Note | Stlatistics and Analysis of Scientific Data covers the foundations of probability theory and statistics, and a number of numerical and analytical methods that are essential for the present-day analyst of scientific data. Topics covered include probability theory, distribution functions of statistics, fits to two-dimensional datasheets and parameter estimation, Monte Carlo methods and Markov chains. Equal attention is paid to the theory and its practical application, and results from classic experiments in various fields are used to illustrate the importance of statistics in the analysis of scientific data. The main pedagogical method is a theory-then-application approach, where emphasis is placed first on a sound understanding of the underlying theory of a topic, which becomes the basis for an efficient and proactive use of the material for practical applications. The level is appropriate for undergraduates and beginning graduate students, and as a reference for the experienced researcher. Basic calculus is used in some of the derivations, and no previous background in probability and statistics is required. The book includes many numerical tables of data, as well as exercises and examples to aid the students' understanding of the topic |
| Notes | Includes bibliographical references and index |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. MATHEMATICAL STATISTICS
4. Numerical and Computational Physics
5. Probability Theory and Stochastic Processes
6. RESEARCH
7. Statistical Physics, Dynamical Systems and Complexity
8. Statistical Theory and Methods
|
| Item Type | eBook |
Multi-Media Links
Please Click Here for the Online Book
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I02316 |
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On Shelf |
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5.
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| Title | Social self-organization : agent-based simulations and experiments to study emergent social behavior |
| Author(s) | Dirk Helbing (ed.) |
| Publication | Berlin, Springer, 2012. |
| Description | 1 online resource (xi, 340 p.) |
| Notes | Includes bibliographical references and index |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. Game Theory, Economics, Social and Behav. Sciences
4. Numerical and Computational Physics
5. Social structure
6. Sociology, general
7. Statistical Physics, Dynamical Systems and Complexity
8. Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
|
| Item Type | eBook |
Multi-Media Links
Please Click Here for the Online Book
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I01885 |
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On Shelf |
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