7 search results - page 1 / 2 » Approximation of Bayesian Inverse Problems for PDEs |
SIAMNUM
2010
12 years 11 months ago
2010
SIAMSC
2011
12 years 12 months ago
2011
We consider the problem of estimating the uncertainty in large-scale linear statistical inverse problems with high-dimensional parameter spaces within the framework of Bayesian inf...
ICCS
2007
Springer
13 years 11 months ago
2007
Springer
Assimilation of spatially- and temporally-distributed state observations into simulations of dynamical systems stemming from discretized PDEs leads to inverse problems with high-di...
ICIP
1999
IEEE
13 years 9 months ago
1999
IEEE
Optical diffusion tomography attempts to reconstruct an object cross section from measurements of scattered and attenuated light. While Bayesian approaches are well suited to this...
JGO
2010
13 years 3 months ago
2010
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...