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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Boccara, Nino |
Modeling Complex Systems |
I05653 |
2010 |
eBook |
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| 2 |
Reichardt, J??rg |
Structure in Complex Networks |
I05558 |
2009 |
eBook |
|
| 3 |
Murtagh, Fionn |
Multivariate Data Analysis |
I03429 |
1987 |
eBook |
|
| 4 |
Sanz, Jorge L.C |
Radon and Projection Transform-Based Computer Vision |
I02865 |
1988 |
eBook |
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1.
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| Title | Modeling Complex Systems |
| Author(s) | Boccara, Nino |
| Publication | New York, NY, Springer New York, 2010. |
| Description | XVIII, 490 p : online resource |
| Abstract Note | Modeling Complex Systems, 2nd Edition, explores the process of modeling complex systems, providing examples from such diverse fields as ecology, epidemiology, sociology, seismology, and economics. It illustrates how models of complex systems are built and provides indispensable mathematical tools for studying their dynamics. This vital introductory text is useful for advanced undergraduate students in various scientific disciplines, and serves as an important reference book for graduate students and young researchers. This enhanced second edition includes: . -recent research results and bibliographic references -extra footnotes which provide biographical information on cited scientists who have made significant contributions to the field -new and improved worked-out examples to aid a student???s comprehension of the content -exercises to challenge the reader and complement the material Nino Boccara is also the author of Essentials of Mathematica: With Applications to Mathematics and Physics (Springer, 2007) |
| ISBN,Price | 9781441965622 |
| Keyword(s) | 1. Algorithm Analysis and Problem Complexity
2. ALGORITHMS
3. COMPLEX SYSTEMS
4. Computational Mathematics and Numerical Analysis
5. Computational Science and Engineering
6. Computer mathematics
7. COMPUTER SIMULATION
8. DYNAMICAL SYSTEMS
9. EBOOK
10. EBOOK - SPRINGER
11. Numerical and Computational Physics, Simulation
12. PHYSICS
13. Simulation and Modeling
14. 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 |
| I05653 |
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On Shelf |
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2.
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| 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 |
|
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On Shelf |
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3.
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| Title | Multivariate Data Analysis |
| Author(s) | Murtagh, Fionn;Heck, Andre |
| Publication | Dordrecht, Springer Netherlands, 1987. |
| Description | 224 p : online resource |
| Abstract Note | Interest in statistical methodology is increasing so rapidly in the astronomical community that accessible introductory material in this area is long overdue. This book fills the gap by providing a presentation of the most useful techniques in multivariate statistics. A wide-ranging annotated set of general and astronomical bibliographic references follows each chapter, providing valuable entry-points for research workers in all astronomical sub-disciplines. Although the applications considered focus on astronomy, the algorithms used can be applied to similar problems in other branches of science. Fortran programs are provided for many of the methods described |
| ISBN,Price | 9789400937895 |
| Keyword(s) | 1. Algorithm Analysis and Problem Complexity
2. ALGORITHMS
3. ASTRONOMY
4. Astronomy, Astrophysics and Cosmology
5. ASTROPHYSICS
6. EBOOK
7. EBOOK - SPRINGER
8. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
9. Statistics??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I03429 |
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On Shelf |
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4.
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| Title | Radon and Projection Transform-Based Computer Vision : Algorithms, A Pipeline Architecture, and Industrial Applications |
| Author(s) | Sanz, Jorge L.C;Hinkle, Eric B;Jain, Anil K |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1988. |
| Description | VIII, 123 p : online resource |
| Abstract Note | This book deals with novel machine vision architecture ideas that make real-time projection-based algorithms a reality. The design is founded on raster-mode processing, which is exploited in a powerful and flexible pipeline. We concern ourselves with several image analysis algorithms for computing: projections of gray-level images along linear patterns (i. e. , the Radon transform) and other curved contours; convex hull approximations; the Hough transform for line and curve detection; diameters; moments and principal components, etc. Addition?? ally, we deal with an extensive list of key image processing tasks, which involve generating: discrete approximations of the inverse Radon transform operator; computer tomography reconstructions; two-dimensional convolutions; rotations and translations; multi-color digital masks; the discrete Fourier transform in polar coordinates; autocorrelations, etc. Both the image analysis and image processing algorithms are supported by a similar architecture. We will also of some of the above algorithms to the solution of demonstrate the applicability various industrial visual inspection problems. The algorithms and architectural ideas surveyed here unleash the power of the Radon and other non-linear transformations for machine vision applications. We provide fast methods to transform images into projection space representa?? tions and to backtrace projection-space information into the image domain. The novelty of this approach is that the above algorithms are suitable for implementa?? tion in a pipeline architecture. Specifically, random access memory and other dedicated hardware components which are necessary for implementation of clas?? sical techniques are not needed for our algorithms |
| ISBN,Price | 9783642730122 |
| Keyword(s) | 1. Algorithm Analysis and Problem Complexity
2. ALGORITHMS
3. EBOOK
4. EBOOK - SPRINGER
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I02865 |
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On Shelf |
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