Computational Methods for Inverse Problems by Curtis R. Vogel
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Computational Methods for Inverse Problems
By Curtis R. Vogel

Computational Methods for Inverse Problems

By (author) See other recent books by Curtis R. Vogel
Series edited by H. T. Banks See other recent books by H. T. Banks
Format: Paperback

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Computational Methods for Inverse Problems by Curtis R. Vogel

Book Description

Inverse problems arise in a number of important practical applications, ranging from biomedical imaging to seismic prospecting. This book provides the reader with a basic understanding of both the underlying mathematics and the computational methods used to solve inverse problems. It also addresses specialized topics like image reconstruction, parameter identification, total variation methods, nonnegativity constraints, and regularization parameter selection methods. Because inverse problems typically involve the estimation of certain quantities based on indirect measurements, the estimation process is often ill-posed. Regularization methods, which have been developed to deal with this ill-posedness, are carefully explained in the early chapters of Computational Methods for Inverse Problems. The book also integrates mathematical and statistical theory with applications and practical computational methods, including topics like maximum likelihood estimation and Bayesian estimation.

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Book Details

ISBN: 9780898715507
ISBN-10: 0898715504
Format: Paperback
(228mm x 152mm x 10mm)
Pages: 199
Imprint: Society for Industrial & Applied Mathematics,U.S.
Publisher: Society for Industrial & Applied Mathematics,U.S.
Publish Date: 1-Jan-1987
Country of Publication: United States

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