Computational Uncertainty Quantification for Inverse Problems - Brossura

Johnathan M. Bardsley (author)

 
9781611975376: Computational Uncertainty Quantification for Inverse Problems
Brossura
ISBN 10: 1611975379 ISBN 13: 9781611975376
Casa editrice: SIAM - Society for Industrial and Applied Mathematics, 2018

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
SIAM - Society for Industrial and Applied Mathematics
Data di pubblicazione
2018
Lingua
Inglese
ISBN 10 
1611975379
ISBN 13 
9781611975376
Rilegatura
Copertina flessibile
Numero di pagine
135
Contatto del produttore
non disponibile
Persona responsabile
non disponibile