Name: Dynamic Data-Driven Environmental Systems Science: First International Conference, Dydess 2014, Cambridge, Ma, Usa, November 5-7, 2014, Revised Select (en Inglés)
Price: 66.93 USD
Availability: InStock
Author: Ravela, Sai ; Sandu, Adrian
ISBN: 9783319251370

portada Dynamic Data-Driven Environmental Systems Science: First International Conference, Dydess 2014, Cambridge, Ma, Usa, November 5-7, 2014, Revised Select (en Inglés)

Dynamic Data-Driven Environmental Systems Science: First International Conference, Dydess 2014, Cambridge, Ma, Usa, November 5-7, 2014, Revised Select (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Ravela, Sai ; Sandu, Adrian

Idioma

Inglés

N° páginas

360

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 2.0 cm

Peso

0.52 kg.

ISBN13

9783319251370

Categorías

Tecnología de la información: cuestiones generales
Hardware de redes
Algoritmos y estructuras de datos

Dynamic Data-Driven Environmental Systems Science: First International Conference, Dydess 2014, Cambridge, Ma, Usa, November 5-7, 2014, Revised Select (en Inglés)

Ravela, Sai ; Sandu, Adrian (Autor) · Springer · Tapa Blanda

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Reseña del libro "Dynamic Data-Driven Environmental Systems Science: First International Conference, Dydess 2014, Cambridge, Ma, Usa, November 5-7, 2014, Revised Select (en Inglés)"

This book constitutes the refereed proceedings of the First International Conference on Dynamic Data-Driven Environmental Systems Science, DyDESS 2014, held in Cambridge, MA, USA, in November 2014.The 24 revised full papers and 7 short papers were carefully reviewed and selected from 62 submissions and cover topics on sensing, imaging and retrieval for the oceans, atmosphere, space, land, earth and planets that is informed by the environmental context; algorithms for modeling and simulation, downscaling, model reduction, data assimilation, uncertainty quantification and statistical learning; methodologies for planning and control, sampling and adaptive observation, and efficient coupling of these algorithms into information-gathering and observing system designs; and applications of methodology to environmental estimation, analysis and prediction including climate, natural hazards, oceans, cryosphere, atmosphere, land, space, earth and planets.