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Computational Uncertainty Quantification for Inverse Problems (Paperback) Loot Price: R1,750
Discovery Miles 17 500
Repayment Terms: R164 pm x 12*
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Computational Uncertainty Quantification for Inverse Problems (Paperback): Johnathan M. Bardsley

Computational Uncertainty Quantification for Inverse Problems (Paperback)

Johnathan M. Bardsley

Series: Computational Science and Engineering

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Loot Price R1,750 Discovery Miles 17 500 | Repayment Terms: R164 pm x 12*

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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.

General

Imprint: Society For Industrial & Applied Mathematics,U.S.
Country of origin: United States
Series: Computational Science and Engineering
Release date: August 2018
Authors: Johnathan M. Bardsley
Dimensions: 229 x 152 x 17mm (L x W x T)
Format: Paperback
Pages: 135
ISBN-13: 978-1-61197-537-6
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics
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LSN: 1-61197-537-9
Barcode: 9781611975376

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