9781107032019-1107032016-Inverse Problems and Applications: Inside Out II (Mathematical Sciences Research Institute Publications, Series Number 60)

Inverse Problems and Applications: Inside Out II (Mathematical Sciences Research Institute Publications, Series Number 60)

ISBN-13: 9781107032019
ISBN-10: 1107032016
Edition: 1
Author: Uhlmann, Gunther
Publication date: 2012
Publisher: Cambridge University Press
Format: Hardcover 592 pages
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Book details

ISBN-13: 9781107032019
ISBN-10: 1107032016
Edition: 1
Author: Uhlmann, Gunther
Publication date: 2012
Publisher: Cambridge University Press
Format: Hardcover 592 pages

Summary

Acknowledged authors Uhlmann, Gunther wrote Inverse Problems and Applications: Inside Out II (Mathematical Sciences Research Institute Publications, Series Number 60) comprising 592 pages back in 2012. Textbook and eTextbook are published under ISBN 1107032016 and 9781107032019. Since then Inverse Problems and Applications: Inside Out II (Mathematical Sciences Research Institute Publications, Series Number 60) textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

Inverse problems lie at the heart of contemporary scientific inquiry and technological development. Applications include a variety of medical and other imaging techniques, which are used for early detection of cancer and pulmonary edema, location of oil and mineral deposits in the Earth's interior, creation of astrophysical images from telescope data, finding cracks and interfaces within materials, shape optimization, model identification in growth processes, and modeling in the life sciences among others. The expository survey essays in this book describe recent developments in inverse problems and imaging, including hybrid or couple-physics methods arising in medical imaging, Calderon's problem and electrical impedance tomography, inverse problems arising in global seismology and oil exploration, inverse spectral problems, and the study of asymptotically hyperbolic spaces. It is suitable for graduate students and researchers interested in inverse problems and their applications.

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