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Author  Title  Accn#  Year  Item Type  Claims 
1 
by Nicola Manini 
Introduction to the Physics of Matter 
I02403 

Book 

2 
Guglielmo Paoletti 
Deterministic Abelian sandpile models and patterns 
I02371 

eBook 

3 
Tomislav Stankovski 
Tackling the inverse problem for nonautonomous systems 
I02342 

eBook 

4 
Massimiliano Bonamente 
Statistics and analysis of scientific data 
I02316 

eBook 

5 
Dirk Helbing (ed.) 
Social selforganization 
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 manyparticle 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 


1.


Title  Introduction to the Physics of Matter : Basic atomic, molecular, and solidstate physics 
Author(s)  by Nicola Manini 
Description  XI, 276 p. 165 illus., 59 illus. in color : online resource 
Abstract Note  This book offers an uptodate, 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 presentday understanding and especially on phenomena fitting various independentparticle 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  Oneelectron atom/ions  Manyelectron 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

Item Type  Book 
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I02403 


On Shelf 




2.


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 selforganizedcriticality, that is, a dynamical system which shows algebraic longrange 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 sitebysite 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 nonequilibrium 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 
MultiMedia Links
Please Click Here for the Online Book
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I02371 


On Shelf 




3.


Title  Tackling the inverse problem for nonautonomous 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 nonsynchronized 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 nonconstant, 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: nonautonomous systems and synchronization  Inference of timeevolving coupled dynamical systems in the presence of noise  Application to life sciences  Analogue simulation and synchronization analysis of nonautonomous 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 
MultiMedia Links
Please Click Here for the Online Book
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I02342 


On Shelf 




4.


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 presentday analyst of scientific data. Topics covered include probability theory, distribution functions of statistics, fits to twodimensional 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 theorythenapplication 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 
MultiMedia Links
Please Click Here for the Online Book
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I02316 


On Shelf 




5.


Title  Social selforganization : agentbased 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 
MultiMedia Links
Please Click Here for the Online Book
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I01885 


On Shelf 



 