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portada Computational Uncertainty Quantification for Inverse Problems (Computational Science and Engineering)
Type
Physical Book
Author
Year
2018
Language
English
Pages
135
Format
Paperback
ISBN13
9781611975376
Edition No.
1

Computational Uncertainty Quantification for Inverse Problems (Computational Science and Engineering)

Johnathan M. Bardsley (Author) · · Paperback

Computational Uncertainty Quantification for Inverse Problems (Computational Science and Engineering) - Johnathan M. Bardsley

New Book Imported to South Africa
Delivery: 21 Oct - 29 Oct Shipping: 14 to 15 business days.
R 1,472
R 1,472

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Synopsis "Computational Uncertainty Quantification for Inverse Problems (Computational Science and Engineering) "

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® 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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