Non‐linear model reduction for uncertainty quantification in large‐scale inverse problems
International journal for numerical methods in …, 2010 - Wiley Online Library
We present a model reduction approach to the solution of large‐scale statistical inverse
problems in a Bayesian inference setting. A key to the model reduction is an efficient …
problems in a Bayesian inference setting. A key to the model reduction is an efficient …
Nonlinear Model Reduction for Uncertainty Quantification in Large-Scale Inverse Problems
D Galbally, K Fidkowski, K Willcox, O Ghattas - 2009 - dspace.mit.edu
We present a model reduction approach to the solution of large-scale statistical inverse
problems in a Bayesian inference setting. A key to the model reduction is an efficient …
problems in a Bayesian inference setting. A key to the model reduction is an efficient …
[PDF][PDF] Non-linear model reduction for uncertainty quantification in large-scale inverse problems
D Galbally, K Fidkowski, K Willcox… - Int. J. Numer. Meth …, 2010 - www-personal.umich.edu
We present a model reduction approach to the solution of large-scale statistical inverse
problems in a Bayesian inference setting. A key to the model reduction is an efficient …
problems in a Bayesian inference setting. A key to the model reduction is an efficient …
[PDF][PDF] Nonlinear Model Reduction for Uncertainty Quantification in Large-Scale Inverse Problems
D Galbally, K Fidkowski, K Willcox, O Ghattas - 2000 - core.ac.uk
We present a model reduction approach to the solution of large-scale statistical inverse
problems in a Bayesian inference setting. Key to the model reduction is an efficient …
problems in a Bayesian inference setting. Key to the model reduction is an efficient …
[PDF][PDF] Non-linear model reduction for uncertainty quantification in large-scale inverse problems
D Galbally, K Fidkowski, K Willcox, O Ghattas - 2009 - kiwi.oden.utexas.edu
We present a model reduction approach to the solution of large-scale statistical inverse
problems in a Bayesian inference setting. A key to the model reduction is an efficient …
problems in a Bayesian inference setting. A key to the model reduction is an efficient …
[PDF][PDF] Non-linear model reduction for uncertainty quantification in large-scale inverse problems
D Galbally, K Fidkowski, K Willcox, O Ghattas - 2009 - Citeseer
We present a model reduction approach to the solution of large-scale statistical inverse
problems in a Bayesian inference setting. A key to the model reduction is an efficient …
problems in a Bayesian inference setting. A key to the model reduction is an efficient …
[PDF][PDF] Non-linear model reduction for uncertainty quantification in large-scale inverse problems
D Galbally, K Fidkowski, K Willcox… - Int. J. Numer. Meth …, 2010 - public.websites.umich.edu
We present a model reduction approach to the solution of large-scale statistical inverse
problems in a Bayesian inference setting. A key to the model reduction is an efficient …
problems in a Bayesian inference setting. A key to the model reduction is an efficient …
[PDF][PDF] Non-linear model reduction for uncertainty quantification in large-scale inverse problems
D Galbally, K Fidkowski, K Willcox… - Int. J. Numer. Meth …, 2010 - websites.umich.edu
We present a model reduction approach to the solution of large-scale statistical inverse
problems in a Bayesian inference setting. A key to the model reduction is an efficient …
problems in a Bayesian inference setting. A key to the model reduction is an efficient …
Non‐linear model reduction for uncertainty quantification in large‐scale inverse problems
D Galbally, K Fidkowski, K Willcox… - International Journal for …, 2010 - infona.pl
We present a model reduction approach to the solution of large‐scale statistical inverse
problems in a Bayesian inference setting. A key to the model reduction is an efficient …
problems in a Bayesian inference setting. A key to the model reduction is an efficient …
[引用][C] Non-linear model reduction for uncertainty quantification in large-scale inverse problems
D GALBALLY, K FIDKOWSKI… - International journal …, 2010 - pascal-francis.inist.fr
Non-linear model reduction for uncertainty quantification in large-scale inverse problems
CNRS Inist Pascal-Francis CNRS Pascal and Francis Bibliographic Databases Simple search …
CNRS Inist Pascal-Francis CNRS Pascal and Francis Bibliographic Databases Simple search …