Palamodov | Reconstruction from Integral Data | Buch | 978-1-4987-1010-7 | sack.de

Buch, Englisch, 184 Seiten, Format (B × H): 157 mm x 234 mm, Gewicht: 476 g

Reihe: Chapman & Hall/CRC Monographs and Research Notes in Mathematics

Palamodov

Reconstruction from Integral Data


1. Auflage 2016
ISBN: 978-1-4987-1010-7
Verlag: CRC Press

Buch, Englisch, 184 Seiten, Format (B × H): 157 mm x 234 mm, Gewicht: 476 g

Reihe: Chapman & Hall/CRC Monographs and Research Notes in Mathematics

ISBN: 978-1-4987-1010-7
Verlag: CRC Press


Reconstruction of a function from data of integrals is used for problems arising in diagnostics, including x-ray, positron radiography, ultrasound, scattering, sonar, seismic, impedance, wave tomography, crystallography, photo-thermo-acoustics, photoelastics, and strain tomography.

Reconstruction from Integral Data presents both long-standing and recent mathematical results from this field in a uniform way. The book focuses on exact analytic formulas for reconstructing a function or a vector field from data of integrals over lines, rays, circles, arcs, parabolas, hyperbolas, planes, hyperplanes, spheres, and paraboloids. It also addresses range characterizations. Coverage is motivated by both applications and pure mathematics.

The book first presents known facts on the classical and attenuated Radon transform. It then deals with reconstructions from data of ray (circle) integrals. The author goes on to cover reconstructions in classical and new geometries. The final chapter collects necessary definitions and elementary facts from geometry and analysis that are not always included in textbooks.

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Zielgruppe


This book is intended for professional mathematicians, researchers, and students interested in geometry. It will also be useful to professional physicists, researchers, and students.


Autoren/Hrsg.


Weitere Infos & Material


Radon Transform. Ray and Line Integral Transforms. Factorization Method. General Method of Reconstruction. Applications to Classical Geometries. Applications to the Spherical Mean Transform. Appendix.


Victor Palamodov is a professor in the School of Mathematical Sciences at Tel-Aviv University. His research interests include mathematical and algebraic analysis and applications to physics and medical diagnostics.



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