Non-linear model reduction for uncertainty quantification in large-scale inverse problems
نویسندگان
چکیده
منابع مشابه
Non-linear model reduction for uncertainty quantification in large-scale inverse problems
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 representation of the non-linear terms in the reduced model. To achieve this, we present a formulation that employs masked projection of the discrete equations; that is, we compute an approximation of the non-linear term ...
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ژورنال
عنوان ژورنال: International Journal for Numerical Methods in Engineering
سال: 2009
ISSN: 0029-5981,1097-0207
DOI: 10.1002/nme.2746