The Multilevel Fast Multipole Algorithm MLFMA for Solving Large Scale Computational Electromagnetics Problems is popular PDF and ePub book, written by Ozgur Ergul in 2014-06-23, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, The Multilevel Fast Multipole Algorithm MLFMA for Solving Large Scale Computational Electromagnetics Problems can be Read Online from any device for your convenience.

The Multilevel Fast Multipole Algorithm MLFMA for Solving Large Scale Computational Electromagnetics Problems Book PDF Summary

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.

Detail Book of The Multilevel Fast Multipole Algorithm MLFMA for Solving Large Scale Computational Electromagnetics Problems PDF

The Multilevel Fast Multipole Algorithm  MLFMA  for Solving Large Scale Computational Electromagnetics Problems
  • Author : Ozgur Ergul
  • Release : 23 June 2014
  • Publisher : John Wiley & Sons
  • ISBN : 9781119977414
  • Genre : Science
  • Total Page : 484 pages
  • Language : English
  • PDF File Size : 9,5 Mb

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