| 000 | 02374cam a2200289Ka 4500 | ||
|---|---|---|---|
| 005 | 20150604105636.0 | ||
| 008 | 130624s2013 xxuad frn 001 0 eng d | ||
| 020 | _a9781461472179 | ||
| 035 | _a(OCoLC)849903512 | ||
| 040 |
_aCO-BoUCM _bspa _cJose A. Gerena (modificó) _dAldemar Mondragón |
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| 041 | 0 | _aeng | |
| 100 | 1 |
_aAbarbanel, Henry D. I. _957077 |
|
| 245 | 1 | 0 |
_aPredicting the future _bcompleting models of observed complex systems _cHenry D.I. Abarbanel |
| 260 |
_aNueva York (Estados Unidos) _bSpringer _c2013 |
||
| 300 |
_axvi, 238 páginas _bilustraciones y gráficas |
||
| 490 | 0 | _aSpringer complexity | |
| 490 | 0 |
_aUnderstanding complex systems _x1860-0832 |
|
| 504 | _aIncluye referencias bibliográficas e índices | ||
| 505 | 0 | 0 |
_tAn Overview: The Challenge of Complex Systems -- _tExamples as a Guide to the Issues -- _tGeneral Formulation of Statistical Data Assimilation -- _tEvaluating the Path Integral -- _tTwin Experiments -- _tAnalysis of Experimental Data -- _tUnfinished Business. |
| 520 | _aPredicting 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. | ||
| 650 | 7 |
_aAnálisis de sistemas _xModelos matemáticos _957078 |
|
| 650 | 7 |
_aInformática _xModelos matemáticos _957079 |
|
| 650 | 7 |
_aSistemas _98114 |
|
| 690 |
_942853 _aInformática |
||
| 942 |
_a1 _cLIBRO _e1 _mA118 _2DEWEY _h003 |
||
| 999 |
_c184438 _d184438 |
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