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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.:
Links to Related Works	Subject References: Inverse problems (Differential equations) . Machine theory . Mathematical modelling . Mathematical theory of computation . Mathematics applications . Probability & statistics . Stochastic Processes . Authors: Bardsley, Johnathan M. . Series: Computational Science & Engineering . Classification: 519 (DDC 21.) .

#	Author	Title
1	. Jost, Jürgen 1956- 1	. Nonpositive curvature: geometric and analytic aspects 1
2	. Jost, Jürgen 1956- 2	. Calculus of variations 2
3	. Jost, Jürgen 1956- 3	. Harmonic maps between surfaces: with a special chapter on conformal mappings 3
4		. Geometric analysis and the calculus of variations for Stefan Hildebrandt 4
5	. Jost, Jürgen 1956- 5	. Compact Riemann surfaces: an introduction to contemporary mathematics 5

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