Name: The Predictive Power of Computational Astrophysics as a Discovery Tool (Iau S362) (Proceedings of the International Astronomical Union Symposia and Colloquia) (en Inglés)
SKU: 54318394
Price: 478030.00 COP
Availability: InStock
Author: Bisikalo, Dmitry ; Wiebe, Dimitri ; Boily, Christian
ISBN: 9781108490665

portada The Predictive Power of Computational Astrophysics as a Discovery Tool (Iau S362) (Proceedings of the International Astronomical Union Symposia and Colloquia) (en Inglés)

The Predictive Power of Computational Astrophysics as a Discovery Tool (Iau S362) (Proceedings of the International Astronomical Union Symposia and Colloquia) (en Inglés)

Formato

Libro Físico

Ilustrado por

Dmitry Bisikalo

Dimitri Wiebe

Christian Boily

Editorial

Cambridge University Press

Autor

Bisikalo, Dmitry ; Wiebe, Dimitri ; Boily, Christian

Idioma

Inglés

N° páginas

400

Encuadernación

Tapa Dura

ISBN13

9781108490665

N° edición

Categorías

Astrofísica

The Predictive Power of Computational Astrophysics as a Discovery Tool (Iau S362) (Proceedings of the International Astronomical Union Symposia and Colloquia) (en Inglés)

Dmitry Bisikalo (Ilustrado por) · Dimitri Wiebe (Ilustrado por) · Christian Boily (Ilustrado por) · Cambridge University Press · Tapa Dura

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Reseña del libro "The Predictive Power of Computational Astrophysics as a Discovery Tool (Iau S362) (Proceedings of the International Astronomical Union Symposia and Colloquia) (en Inglés)"

A new paradigm for scientific discovery through computational tools now permeates every aspect of astronomical research. Computational astrophysics combines modern computational methods, novel hardware designs, advanced algorithms, original software implementations, and associated technologies to discover new phenomena and to make predictions in astronomy. The proceedings of IAU Symposium 362 summarizes ongoing developments in computational astrophysics through astronomers in diverse fields sharing their knowledge and approaches. It focuses on computational methods applied to speed up and broaden the scope of scientific studies, such as finding trends in observational data, high performance computing, automated search algorithms, and model predictability. Experts discuss a palette of challenging informational and technical developments, with the goal of coordinating their efforts and the improvement of techniques in pursuit of a wide range of astronomical studies, including fluid dynamics in star and galaxy evolution, exoplanets, gravitational waves, numerical relativity, data mining, and much more.