Name: The Multilevel Fast Multipole Algorithm (MLFMA) for Solving Large-Scale Computational Electromagnetics Problems (en Inglés)
Price: 212570.00 CLP
Availability: InStock
Author: Ergul, Ozgur ; Gurel, Levent
ISBN: 9781119977414

portada The Multilevel Fast Multipole Algorithm (MLFMA) for Solving Large-Scale Computational Electromagnetics Problems (en Inglés)

The Multilevel Fast Multipole Algorithm (MLFMA) for Solving Large-Scale Computational Electromagnetics Problems (en Inglés)

Formato

Libro Físico

Autor

Özgür Ergül

Levent Gurel

Editorial

Wiley-IEEE Press

Año

2014

Idioma

Inglés

N° páginas

480

Encuadernación

Tapa Dura

Dimensiones

24.6 x 17.3 x 3.0 cm

Peso

0.96 kg.

ISBN

111997741x

ISBN13

9781119977414

Categorías

Electricidad, electromagnetismo y magnetismo

The Multilevel Fast Multipole Algorithm (MLFMA) for Solving Large-Scale Computational Electromagnetics Problems (en Inglés)

Özgür Ergül (Autor) · Levent Gurel (Autor) · Wiley-IEEE Press · Tapa Dura

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Reseña del libro "The Multilevel Fast Multipole Algorithm (MLFMA) for Solving Large-Scale Computational Electromagnetics Problems (en Inglés)"

The Multilevel Fast Multipole Algorithm (MLFMA) for Solving Large-Scale Computational Electromagnetic Problems provides a detailed and instructional overview of implementing MLFMA. The book: Presents a comprehensive treatment of the MLFMA algorithm, including basic linear algebra concepts, recent developments on the parallel computation, and a number of application examples Covers solutions of electromagnetic problems involving dielectric objects and perfectly-conducting objects Discusses applications including scattering from airborne targets, scattering from red blood cells, radiation from antennas and arrays, metamaterials etc. Is written by authors who have more than 25 years experience on the development and implementation of MLFMA The book will be useful for post-graduate students, researchers, and academics, studying in the areas of computational electromagnetics, numerical analysis, and computer science, and who would like to implement and develop rigorous simulation environments based on MLFMA.