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Mathematical Modeling in Diffraction Theory

Based on A Priori Information on the Analytical Properties of the Solution

Jezik AngleščinaAngleščina
E-knjiga Adobe ePub DRM
E-knjiga Mathematical Modeling in Diffraction Theory Alexander G. Kyurkchan
Koda Libristo: 39577301
Založba Elsevier, september 2015
Mathematical Modeling in Diffraction Theory: Based on A Priori Information on the Analytical Propert... Celoten opis
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Mathematical Modeling in Diffraction Theory: Based on A Priori Information on the Analytical Properties of the Solution provides the fundamental physical concepts behind the theory of wave diffraction and scattered wave fields as well as its application in radio physics, acoustics, optics, radio astronomy, biophysics, geophysics, and astrophysics. This book provides a coherent discussion of several advanced topics that have the potential to push forward progress in this field. It begins with examples illustrating the importance of taking a priori information into account when developing algorithms for solving diffraction problems, with subsequent chapters discussing the basic analytical representations of wave fields, the auxiliary current and source methods for solving the problems of diffraction at compact scatterers, the null field and matrix methods that are widely used to solve problems in radio-physics, radio-astronomy, and biophysics, and the continued boundary condition and pattern equation method.Provides ideas and techniques for obtaining a priori information on analytical properties of wave fields and provides methods for solving diffraction problemsIncludes numerous concrete examples of localization of singularities of analytical continuation of wave fieldsPresents a qualitative explanation of the formation of visions of objectsFormulates the concept of "e;invisible objectsSupplies appropriate computer programs for all presented methods

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O knjigi

Polni naslov Mathematical Modeling in Diffraction Theory
Jezik Angleščina
Vezava E-knjiga - Adobe ePub DRM
Datum izida 2015
Število strani 280
EAN 9780128037485
Koda Libristo 39577301
Založba Elsevier
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