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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Abarbanel, Henry |
Predicting the Future |
I06173 |
2013 |
eBook |
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| 2 |
Abarbanel, Henry |
Analysis of Observed Chaotic Data |
I00428 |
1996 |
eBook |
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| Title | Predicting the Future : Completing Models of Observed Complex Systems |
| Author(s) | Abarbanel, Henry |
| Publication | New York, NY, Springer New York, 2013. |
| Description | XVI, 238 p. 97 illus., 91 illus. in color : online resource |
| Abstract Note | Predicting the Future: Completing Models of Observed Complex Systems provides a general framework for the discussion of model building and validation across a broad spectrum of disciplines. This is accomplished through the development of an exact path integral for use in transferring information from observations to a model of the observed system. Through many illustrative examples drawn from models in neuroscience, fluid dynamics, geosciences, and nonlinear electrical circuits, the concepts are exemplified in detail. Practical numerical methods for approximate evaluations of the path integral are explored, and their use in designing experiments and determining a model's consistency with observations is investigated. Using highly instructive examples, the problems of data assimilation and the means to treat them are clearly illustrated. This book will be useful for students and practitioners of physics, neuroscience, regulatory networks, meteorology and climate science, network dynamics, fluid dynamics, and other systematic investigations of complex systems |
| ISBN,Price | 9781461472186 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. COMPUTER SIMULATION
3. DYNAMICAL SYSTEMS
4. EBOOK
5. EBOOK - SPRINGER
6. Neurosciences
7. Numerical and Computational Physics, Simulation
8. PHYSICS
9. Simulation and Modeling
10. STATISTICAL PHYSICS
11. Statistical Physics and Dynamical Systems
12. 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 |
| I06173 |
|
|
On Shelf |
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|
2.
 | |
| Title | Analysis of Observed Chaotic Data |
| Author(s) | Abarbanel, Henry |
| Publication | New York, NY, Springer New York, 1996. |
| Description | XIV, 272 p : online resource |
| Abstract Note | When I encountered the idea of chaotic behavior in deterministic dynami?? cal systems, it gave me both great pause and great relief. The origin of the great relief was work I had done earlier on renormalization group properties of homogeneous, isotropic fluid turbulence. At the time I worked on that, it was customary to ascribe the apparently stochastic nature of turbulent flows to some kind of stochastic driving of the fluid at large scales. It was simply not imagined that with purely deterministic driving the fluid could be turbulent from its own chaotic motion. I recall a colleague remarking that there was something fundamentally unsettling about requiring a fluid to be driven stochastically to have even the semblance of complex motion in the velocity and pressure fields. I certainly agreed with him, but neither of us were able to provide any other reasonable suggestion for the observed, apparently stochastic motions of the turbulent fluid. So it was with relief that chaos in nonlinear systems, namely, complex evolution, indistinguish?? able from stochastic motions using standard tools such as Fourier analysis, appeared in my bag of physics notions. It enabled me to have a physi?? cally reasonable conceptual framework in which to expect deterministic, yet stochastic looking, motions. The great pause came from not knowing what to make of chaos in non?? linear systems |
| ISBN,Price | 9781461207634 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. PHYSICS
4. Physics, general
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I00428 |
|
|
On Shelf |
|
|
|
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