Large-Scale Inverse Problems and Quantification of Uncertainty - Couverture rigide

Couverture rigide

ISBN 10 : 0470697431 ISBN 13 : 9780470697436

Editeur : John Wiley & Sons Inc, 2010

A propos du livre

Présentation de l'éditeur :

This book focuses on computational methods for large–scalestatistical inverse problems and provides an introduction tostatistical Bayesian and frequentist methodologies. Recent researchadvances for approximation methods are discussed, along with Kalmanfiltering methods and optimization–based approaches to solvinginverse problems. The aim is to cross–fertilize the perspectives ofresearchers in the areas of data assimilation, statistics,large–scale optimization, applied and computational mathematics,high performance computing, and cutting–edge applications.

The solution to large–scale inverse problems critically dependson methods to reduce computational cost. Recent research approachestackle this challenge in a variety of different ways. Many of thecomputational frameworks highlighted in this book build uponstate–of–the–art methods for simulation of the forward problem,such as, fast Partial Differential Equation (PDE) solvers,reduced–order models and emulators of the forward problem,stochastic spectral approximations, and ensemble–basedapproximations, as well as exploiting the machinery for large–scaledeterministic optimization through adjoint and other sensitivityanalysis methods.

Key Features:

Brings together the perspectives of researchers in areasof inverse problems and data assimilation.

Assesses the current state–of–the–art and identify needsand opportunities for future research.

Focuses on the computational methods used to analyze andsimulate inverse problems.

Written by leading experts of inverse problems anduncertainty quantification.

Graduate students and researchers working in statistics,mathematics and engineering will benefit from this book.

Quatrième de couverture :

 

À propos de cette édition

• Éditeur: John Wiley & Sons Inc
• Date d'édition: 2010
• ISBN 10: 0470697431
• ISBN 13: 9780470697436
• Reliure: Relié
• Nombre de pages: 400