CRAI - Universidad del Rosario Koha › Detalles de: Predicting the future

Predicting the future

por Abarbanel, Henry D. I.

Series: Springer complexity | Understanding complex systems 1860-0832 Publicado por : Springer (Nueva York (Estados Unidos)) Detalles físicos: xvi, 238 páginas ilustraciones y gráficas ISBN:9781461472179.

Tema(s): Análisis de sistemas -- Modelos matemáticos | Informática -- Modelos matemáticos | Sistemas | Informática

Año : 2013

Existencias ( 2 )
Notas de título ( 3 )

Tipo de ítem	Ubicación actual	Colección	Signatura	Copia número	Estado	Fecha de vencimiento	Código de barras	Reserva de ítems
Libro	Claustro 2do piso	Libro	003 A118p (Navegar estantería)	Ej.2	Disponible		100140459
Libro	Claustro 2do piso	Libro	003 A118p (Navegar estantería)	Ej.3	Disponible		100146311

Total de reservas: 0

Incluye referencias bibliográficas e índices

An Overview: The Challenge of Complex Systems -- Examples as a Guide to the Issues -- General Formulation of Statistical Data Assimilation -- Evaluating the Path Integral -- Twin Experiments -- Analysis of Experimental Data -- Unfinished Business.

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.