| |
| |
Click the serial number on the left to view the details of the item. |
| # |
Author | Title | Accn# | Year | Item Type | Claims |
| 21 |
Khrennikov, Andrei Y |
Ubiquitous Quantum Structure |
I06448 |
2010 |
eBook |
|
| 22 |
D'Agostino, Gregorio |
Networks of Networks: The Last Frontier of Complexity |
I06397 |
2014 |
eBook |
|
| 23 |
Cristelli, Matthieu |
Complexity in Financial Markets |
I06187 |
2014 |
eBook |
|
| 24 |
Frederic Abergel (ed.) |
Econophysics and Data Driven Modelling of Market Dynamics |
I06087 |
2015 |
eBook |
|
| 25 |
Bezruchko, Boris P |
Extracting Knowledge From Time Series |
I05873 |
2010 |
eBook |
|
| 26 |
Reichardt, J??rg |
Structure in Complex Networks |
I05558 |
2009 |
eBook |
|
| 27 |
Tu, Pierre N.V |
Dynamical Systems |
I05067 |
1994 |
eBook |
|
| 28 |
Chui, Charles K |
Kalman Filtering |
I03988 |
1999 |
eBook |
|
| 29 |
Kravtsov, Yurii A |
Limits of Predictability |
I03774 |
1993 |
eBook |
|
| 30 |
Mikhailov, Alexander S |
Foundations of Synergetics I |
I03596 |
1990 |
eBook |
|
|
|
21.
  |
 |
| Title | Ubiquitous Quantum Structure : From Psychology to Finance |
| Author(s) | Khrennikov, Andrei Y |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2010. |
| Description | XIII, 216 p : online resource |
| Abstract Note | Quantum-like structure is present practically everywhere. Quantum-like (QL) models, i.e. models based on the mathematical formalism of quantum mechanics and its generalizations can be successfully applied to cognitive science, psychology, genetics, economics, finances, and game theory. This book is not about quantum mechanics as a physical theory. The short review of quantum postulates is therefore mainly of historical value: quantum mechanics is just the first example of the successful application of non-Kolmogorov probabilities, the first step towards a contextual probabilistic description of natural, biological, psychological, social, economical or financial phenomena. A general contextual probabilistic model (V??xj?? model) is presented. It can be used for describing probabilities in both quantum and classical (statistical) mechanics as well as in the above mentioned phenomena. This model can be represented in a quantum-like way, namely, in complex and more general Hilbert spaces. In this way quantum probability is totally demystified: Born's representation of quantum probabilities by complex probability amplitudes, wave functions, is simply a special representation of this type |
| ISBN,Price | 9783642051012 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. ECONOMIC THEORY
4. Economic Theory/Quantitative Economics/Mathematical Methods
5. PROBABILITIES
6. Probability Theory and Stochastic Processes
7. QUANTUM PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I06448 |
|
|
On Shelf |
|
|
|
|
22.
 |
|
| Title | Networks of Networks: The Last Frontier of Complexity |
| Author(s) | D'Agostino, Gregorio;Scala, Antonio |
| Publication | Cham, Springer International Publishing, 2014. |
| Description | XII, 340 p. 147 illus., 126 illus. in color : online resource |
| Abstract Note | The present work is meant as a reference to provide an organic and comprehensive view of the most relevant results in the exciting new field of Networks of Networks (NetoNets). Seminal papers have recently been published posing the basis to study what happens when different networks interact, thus providing evidence for the emergence of new, unexpected behaviors and vulnerabilities. From those seminal works, the awareness on the importance understanding Networks of Networks (NetoNets) has spread to the entire community of Complexity Science. The reader will benefit from the experience of some of the most well-recognized leaders in this field. The contents have been aggregated under four headings; General Theory, Phenomenology, Applications and Risk Assessment. The reader will be impressed by the different applications of the general paradigm that span from physiology, to financial risk, to transports. We are currently making the first steps to reduce the distance between the language and the way of thinking of the two communities of experts in real infrastructures and the complexity scientists. Although this path may prove to be long, it is extremely promising, both in extending our understanding of complex systems and in finding concrete applications that can enhance the life quality of millions of people |
| ISBN,Price | 9783319035185 |
| Keyword(s) | 1. Applications of Graph Theory and Complex Networks
2. COMPLEX SYSTEMS
3. COMPLEXITY
4. COMPUTATIONAL COMPLEXITY
5. EBOOK
6. EBOOK - SPRINGER
7. ECONOMIC THEORY
8. Economic Theory/Quantitative Economics/Mathematical Methods
9. PHYSICS
10. 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 |
| I06397 |
|
|
On Shelf |
|
|
|
|
|
23.
|
|
| Title | Complexity in Financial Markets : Modeling Psychological Behavior in Agent-Based Models and Order Book Models |
| Author(s) | Cristelli, Matthieu |
| Publication | Cham, Springer International Publishing, 2014. |
| Description | XIX, 216 p : online resource |
| Abstract Note | Tools and methods from complex systems science can have a considerable impact on the way in which the quantitative assessment of economic and financial issues is approached, as discussed in this thesis. First????it is shown??that the self-organization of financial markets is a crucial factor in the understanding of their dynamics. In fact, using an agent-based approach, it is argued that financial markets??? stylized facts appear only in the self-organized state. Secondly, the thesis points out the potential of so-called big data science for financial market modeling, investigating how web-driven data can??yield a picture of??market activities:?? it has been found that web query volumes anticipate trade volumes. As a third achievement, the metrics developed here??for country competitiveness and product complexity is groundbreaking in??comparison to mainstream theories of economic growth and technological development. A key element in assessing the intangible variables determining the success of countries in the present globalized economy is represented by the diversification of the productive basket of countries. The comparison between the level of complexity of a country's productive system?? and economic indicators such as the GDP per capita discloses its hidden growth potential |
| ISBN,Price | 9783319007236 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. DATA MINING
3. Data Mining and Knowledge Discovery
4. Data-driven Science, Modeling and Theory Building
5. EBOOK
6. EBOOK - SPRINGER
7. ECONOMIC THEORY
8. Economic Theory/Quantitative Economics/Mathematical Methods
9. ECONOPHYSICS
10. GAME THEORY
11. Game Theory, Economics, Social and Behav. Sciences
12. Sociophysics
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 |
| I06187 |
|
|
On Shelf |
|
|
|
|
|
24.
|
|
| Title | Econophysics and Data Driven Modelling of Market Dynamics |
| Author(s) | Frederic Abergel (ed.);Hideaki Aoyama (ed.);Bikas K. Chakrabarti (ed.);Anirban Chakraborti (ed.);Ghosh, Asim |
| Publication | Cham, Springer International Publishing, 2015. |
| Description | XIII, 353 p. 116 illus : online resource |
| Abstract Note | This book presents the works and research findings of physicists, economists, mathematicians, statisticians, and financial engineers who have undertaken data-driven modelling of market dynamics and other empirical studies in the field of Econophysics. During recent decades, the financial market landscape has changed dramatically with the deregulation of markets and the growing complexity of products. The ever-increasing speed and decreasing costs of computational power and networks have led to the emergence of huge databases. The availability of these data should permit the development of models that are better founded empirically, and econophysicists have accordingly been advocating that one should rely primarily on the empirical observations in order to construct models and validate them. The recent turmoil in financial markets and the 2008 crash appear to offer a strong rationale for new models and approaches. The Econophysics community accordingly has an important future role to play in market modelling. The Econophys-Kolkata VIII conference proceedings are devoted to the presentation of many such modelling efforts and address recent developments. A number of leading researchers from across the globe report on their recent work, comment on the latest issues, and review the contemporary literature |
| ISBN,Price | 9783319084732 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. COMPLEXITY
3. COMPUTATIONAL COMPLEXITY
4. Data-driven Science, Modeling and Theory Building
5. EBOOK
6. EBOOK - SPRINGER
7. ECONOMIC THEORY
8. Economic Theory/Quantitative Economics/Mathematical Methods
9. ECONOPHYSICS
10. GAME THEORY
11. Game Theory, Economics, Social and Behav. Sciences
12. Sociophysics
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 |
| I06087 |
|
|
On Shelf |
|
|
|
|
|
26.
|
|
| Title | Structure in Complex Networks |
| Author(s) | Reichardt, J??rg |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2009. |
| Description | XIII, 151 p : online resource |
| Abstract Note | In the modern world of gigantic datasets, which scientists and practioners of all fields of learning are confronted with, the availability of robust, scalable and easy-to-use methods for pattern recognition and data mining are of paramount importance, so as to be able to cope with the avalanche of data in a meaningful way. This concise and pedagogical research monograph introduces the reader to two specific aspects - clustering techniques and dimensionality reduction - in the context of complex network analysis. The first chapter provides a short introduction into relevant graph theoretical notation; chapter 2 then reviews and compares a number of cluster definitions from different fields of science. In the subsequent chapters, a first-principles approach to graph clustering in complex networks is developed using methods from statistical physics and the reader will learn, that even today, this field significantly contributes to the understanding and resolution of the related statistical inference issues. Finally, an application chapter examines real-world networks from the economic realm to show how the network clustering process can be used to deal with large, sparse datasets where conventional analyses fail |
| ISBN,Price | 9783540878339 |
| Keyword(s) | 1. Algorithm Analysis and Problem Complexity
2. ALGORITHMS
3. ARTIFICIAL INTELLIGENCE
4. COMPLEX SYSTEMS
5. COMPUTERS
6. DYNAMICAL SYSTEMS
7. EBOOK
8. EBOOK - SPRINGER
9. ECONOMIC THEORY
10. Economic Theory/Quantitative Economics/Mathematical Methods
11. STATISTICAL PHYSICS
12. Statistical Physics and Dynamical Systems
13. Theory of Computation
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I05558 |
|
|
On Shelf |
|
|
|
|
|
27.
|
|
| Title | Dynamical Systems : An Introduction with Applications in Economics and Biology |
| Author(s) | Tu, Pierre N.V |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1994. |
| Description | XVIII, 314 p : online resource |
| Abstract Note | The favourable reception of the first edition and the encouragement received from many readers have prompted the author to bring out this new edition. This provides the opportunity for correcting a number of errors, typographical and others, contained in the first edition and making further improvements. This second edition has a new chapter on simplifying Dynamical Systems covering Poincare map, Floquet theory, Centre Manifold Theorems, normal forms of dynamical systems, elimination of passive coordinates and Liapunov-Schmidt reduction theory. It would provide a gradual transition to the study of Bifurcation, Chaos and Catastrophe in Chapter 10. Apart from this, most others - in fact all except the first three and last chapters - have been revised and enlarged to bring in some new materials, elaborate some others, especially those sections which many readers felt were rather too concise in the first edition, by providing more explana?? tion, examples and applications. Chapter 11 provides some good examples of this. Another example may be found in Chapter 4 where the review of Linear Algebra has been enlarged to incorporate further materials needed in this edition, for example the last section on idempotent matrices and projection would prove very useful to follow Liapunov-Schmidt reduction theory presented in Chapter 9 |
| ISBN,Price | 9783642787935 |
| Keyword(s) | 1. BIOMATHEMATICS
2. COMPLEX SYSTEMS
3. DYNAMICAL SYSTEMS
4. EBOOK
5. EBOOK - SPRINGER
6. ECONOMIC THEORY
7. Economic Theory/Quantitative Economics/Mathematical Methods
8. Mathematical and Computational Biology
9. PROBABILITIES
10. Probability Theory and Stochastic Processes
11. STATISTICAL PHYSICS
12. Statistics for Life Sciences, Medicine, Health Sciences
13. Statistics??
14. SYSTEM THEORY
15. Systems Theory, Control
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I05067 |
|
|
On Shelf |
|
|
|
|
|
28.
|
|
| Title | Kalman Filtering : with Real-Time Applications |
| Author(s) | Chui, Charles K;Chen, Guanrong |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1999. |
| Description | XIV, 230 p : online resource |
| Abstract Note | Kalman Filtering with Real-Time Applications presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. The last two topics are new additions to this third edition. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowledge of linear algebra, probability theory, and system engineering |
| ISBN,Price | 9783662038598 |
| Keyword(s) | 1. APPLIED MATHEMATICS
2. ARTIFICIAL INTELLIGENCE
3. Communications Engineering, Networks
4. EBOOK
5. EBOOK - SPRINGER
6. ECONOMIC THEORY
7. Economic Theory/Quantitative Economics/Mathematical Methods
8. ELECTRICAL ENGINEERING
9. ENGINEERING MATHEMATICS
10. Mathematical and Computational Engineering
11. Mathematical Methods in Physics
12. Numerical and Computational Physics, Simulation
13. PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I03988 |
|
|
On Shelf |
|
|
|
|
|
29.
|
|
| Title | Limits of Predictability |
| Author(s) | Kravtsov, Yurii A |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1993. |
| Description | XIII, 255 p. 13 illus. in color : online resource |
| Abstract Note | One of the driving forces behind much of modern science and technology is the desire to foresee and thereby control the future. In recent years, however, it has become clear that, even in a deterministic world, there is alimit to the accuracy with which we can predict the future. This book details, in a largely nontechnical style, the extent to which we can predict the future development of various physical, biological and socio-economic processes |
| ISBN,Price | 9783642510083 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. DYNAMICAL SYSTEMS
3. EBOOK
4. EBOOK - SPRINGER
5. ECONOMIC THEORY
6. Economic Theory/Quantitative Economics/Mathematical Methods
7. STATISTICAL PHYSICS
8. 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 |
| I03774 |
|
|
On Shelf |
|
|
|
|
|
30.
| |
| Title | Foundations of Synergetics I : Distributed Active Systems |
| Author(s) | Mikhailov, Alexander S |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1990. |
| Description | X, 187 p. 19 illus : online resource |
| Abstract Note | This book gives an introduction to the mathematical theory of cooperative behavior in active systems of various origins, both natural and artificial. It is based on a lecture course in synergetics which I held for almost ten years at the University of Moscow. The first volume deals mainly with the problems of pattern formation and the properties of self-organized regular patterns in distributed active systems. It also contains a discussion of distributed analog information processing which is based on the cooperative dynamics of active systems. The second volume is devoted to the stochastic aspects of self-organization and the properties of self-established chaos. I have tried to avoid delving into particular applications. The primary intention is to present general mathematical models that describe the principal kinds of coopera?? tive behavior in distributed active systems. Simple examples, ranging from chemical physics to economics, serve only as illustrations of the typical context in which a particular model can apply. The manner of exposition is more in the tradition of theoretical physics than of mathematics: Elaborate formal proofs and rigorous estimates are often replaced in the text by arguments based on an intuitive understanding of the relevant models. Because of the interdisciplinary nature of this book, its readers might well come from very diverse fields of endeavor. It was therefore desirable to minimize the re?? quired preliminary knowledge. Generally, a standard university course in differential calculus and linear algebra is sufficient |
| ISBN,Price | 9783642972690 |
| Keyword(s) | 1. BOTANY
2. EBOOK
3. EBOOK - SPRINGER
4. ECONOMIC THEORY
5. Economic Theory/Quantitative Economics/Mathematical Methods
6. MATHEMATICAL PHYSICS
7. MICROPROCESSORS
8. PATTERN RECOGNITION
9. PLANT SCIENCE
10. Plant Sciences
11. Processor Architectures
12. Theoretical, Mathematical and Computational Physics
13. ZOOLOGY
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I03596 |
|
|
On Shelf |
|
|
|
| |