Computational Methods for Inverse Problems

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Society for Industrial and Applied Mathematics, 01/gen/2002 - 183 pagine
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Vogel (mathematics, Montana State University) explains techniques for dealing with inverse problems, with an emphasis on regularization. The graduate textbook addresses the two-dimensional image reconstruction problem, and describes methods for selecting regularization parameters, performing total variation regularization, and solving non-negatively constrained optimization problems. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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Review: Computational Methods For Inverse Problems

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My mathematical bible. Leggi recensione completa

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