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Computational uncertainty quantification for inverse problems

Computational uncertainty quantification for inverse problems
Catalogue Information
Field name Details
Dewey Class 519 (DDC 21.)
Title Computational uncertainty quantification for inverse problems (M) / Johnathan M. Bardsley
Author Bardsley, Johnathan M.
Publication Philadelphia : Society for Industrial and Applied Mathematics , [2018]
Physical Details viii, 133 pages : ill. ; 26 cm.
Series Computational Science & Engineering ; CS19
ISBN 9781611975376
Summary Note This book is an introduction to both computational inverse problems and uncertainty quantification (UQ) for inverse problems. The book also presents more advanced material on Bayesian methods and UQ, including Markov chain Monte Carlo sampling methods for UQ in inverse problems. Each chapter contains MATLAB (R) code that implements the algorithms and generates the figures, as well as a large number of exercises accessible to both graduate students and researchers. Computational Uncertainty Quantification for Inverse Problems is intended for graduate students, researchers, and applied scientists. It is appropriate for courses on computational inverse problems, Bayesian methods for inverse problems, and UQ methods for inverse problems.:
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Catalogue Information 49449 Beginning of record . Catalogue Information 49449 Top of page .
Item Information
Barcode Shelf Location Collection Volume Ref. Branch Status Due Date
0000000044284 620.1 BAR
General   SISSA . . On Loan . 30 Aug 2019
. Catalogue Record 49449 ItemInfo Beginning of record . Catalogue Record 49449 ItemInfo Top of page .

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