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E-grāmata: Forward and Inverse Problems for Hyperbolic, Elliptic and Mixed Type Equations [De Gruyter E-books]

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Inverse problems are an important and rapidly developing direction in mathematics, mathematical physics, differential equations, and various applied technologies (geophysics, optic, tomography, remote sensing, radar-location, etc.). In this monograph direct and inverse problems for partial differential equations are considered. The type of equations focused are hyperbolic, elliptic, and mixed (elliptic-hyperbolic). The direct problems arise as generalizations of problems of scattering plane elastic or acoustic waves from inhomogeneous layer (or from half-space). The inverse problems are those of determination of medium parameters by giving the forms of incident and reflected waves or the vibrations of certain points of the medium. The method of research of all inverse problems is spectral-analytical, consisting in reducing the considered inverse problems to the known inverse problems for the Sturm-Liouville equation or the string equation. Besides the book considers discrete inverse problems. In these problems an arbitrary set of point sources (emissive sources, oscillators, point masses) is determined.

Alexander G. Megrabov, Institute of Computational Mathematics and Mathematical Geophysics, Russian Academy of Sciences, Novosibirsk, Russia.
Introduction
Inverse problems for semibounded string with the directional derivative
condition given in the end
Inverse problems for the elliptic equation in the half-plane
Inverse problems of scattering plane waves from inhomogeneous transition
layers (half-space)
Inverse problems for finite string with the condition of directional
derivative in one end
Inverse problems for the elliptic equation in the strip
Inverse problems of scattering the plane waves from inhomogeneous layers with
a free or fixed boundary
Direct and inverse problems for the equations of mixed type
Inverse problems connected with determination of arbitrary set of point
sources
Bibliography
Alexander G. Megrabov, Institute of Computational Mathematics and Mathematical Geophysics, Russian Academy of Sciences, Novosibirsk, Russia.