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Forward and Inverse Scattering Algorithms Based on Contrast Source Integral Equations

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Forward and Inverse Scattering Algorithms Based on Contrast Source Integral Equations
BOOK DOWNLOAD

Forward and Inverse Scattering Algorithms Based on Contrast Source Integral Equations

10.00$

1st Edition 

by Peter M. van den Berg (Author) 

A guide to wave-field computational methods based on contrast source type of integral equations

Forward and Inverse Scattering Algorithms Based on Contrast Source Integral Equations presents a text that examines wave-field computational methods based on contrast source type of integral equations and the computational implementation in wave-field based imaging methods. Written by a noted expert on the topic, the book provides a guide to efficient methods for calculating wave fields in a known inhomogeneous medium. The author provides a link between the fundamental scattering theory and its discrete counterpart and discusses the forward scattering problem based on the contrast-source integral equations.

The book fully describes the calculation of wave fields inside and outside a scattering object with general shape and material property and reviews the inverse scattering problem, in which material properties are resolved from wave-field measurements outside the scattering object. The theoretical approach is the inverse of the forward scattering problem that determines how radiation is scattered, based on the scattering object. This important book:

  • Provides a guide to the effects of scalar waves, acoustic waves and electromagnetic waves
  • Describes computer modeling in 1D, 2D and 3D models
  • Includes an online site for computer codes with adjustable configurations

Written for students, researchers, and professionals, Forward and Inverse Scattering Algorithms Based on Contrast Source Integral Equations offers a guide to wave-field computational methods based on contrast source type of integral equations and the computational implementation in wave-field based imaging methods.

Year:
2021
Pages:
524
Language:
English
Format:
PDF
Size:
26 MB
ISBN-10:
1119741548
ISBN-13:
978-1119741541
ASIN:
B08WRM2Q5S
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