Name: Parallel Algorithms in Computational Science and Engineering (en Inglés)
Price: 194750.00 CLP
Availability: InStock
Author: Grama, Ananth ; Sameh, Ahmed H.
ISBN: 9783030437381

portada Parallel Algorithms in Computational Science and Engineering (en Inglés)

Formato

Libro Físico

Ilustrado por

Ananth Grama

Ahmed H. Sameh

Editorial

Birkhauser

Autor

Grama, Ananth ; Sameh, Ahmed H.

Idioma

Inglés

N° páginas

417

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 2.2 cm

Peso

0.60 kg.

ISBN13

9783030437381

Categorías

Algebra
Matemáticas aplicadas
Ciencias de la computación

Parallel Algorithms in Computational Science and Engineering (en Inglés)

Ananth Grama (Ilustrado por) · Ahmed H. Sameh (Ilustrado por) · Birkhauser · Tapa Blanda

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Parallel Algorithms in Computational Science and Engineering (en Inglés)"

This contributed volume highlights two areas of fundamental interest in high-performance computing: core algorithms for important kernels and computationally demanding applications. The first few chapters explore algorithms, numerical techniques, and their parallel formulations for a variety of kernels that arise in applications. The rest of the volume focuses on state-of-the-art applications from diverse domains. By structuring the volume around these two areas, it presents a comprehensive view of the application landscape for high-performance computing, while also enabling readers to develop new applications using the kernels. Readers will learn how to choose the most suitable parallel algorithms for any given application, ensuring that theory and practicality are clearly connected. Applications using these techniques are illustrated in detail, including: Computational materials science and engineeringComputational cardiovascular analysisMultiscale analysis of wind turbines and turbomachineryWeather forecastingMachine learning techniquesParallel Algorithms in Computational Science and Engineering will be an ideal reference for applied mathematicians, engineers, computer scientists, and other researchers who utilize high-performance computing in their work.