Computational Uncertainty Quantification for Inverse Problems Paperback / softback
by Johnathan M. Bardsley
Part of the Computational Science and Engineering series
Paperback / softback
Description
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.
Information
-
Out of Stock - We are unable to provide an estimated availability date for this product
- Format:Paperback / softback
- Pages:135 pages
- Publisher:Society for Industrial & Applied Mathematics,U.S.
- Publication Date:30/09/2018
- Category:
- ISBN:9781611975376
Information
-
Out of Stock - We are unable to provide an estimated availability date for this product
- Format:Paperback / softback
- Pages:135 pages
- Publisher:Society for Industrial & Applied Mathematics,U.S.
- Publication Date:30/09/2018
- Category:
- ISBN:9781611975376
