The following pages link to (Q5471354):
Displaying 16 items.
- Preconditioned conjugate gradient method for boundary artifact-free image deblurring (Q254797) (← links)
- Approximate marginalization of absorption and scattering in fluorescence diffuse optical tomography (Q254804) (← links)
- Artificial boundary conditions and domain truncation in electrical impedance tomography. I: Theory and preliminary results (Q256055) (← links)
- Statistical unfolding of elementary particle spectra: empirical Bayes estimation and bias-corrected uncertainty quantification (Q902940) (← links)
- Mitigating the influence of the boundary on PDE-based covariance operators (Q1785028) (← links)
- Damage identification under uncertain mass density distributions (Q2022028) (← links)
- Preconditioned iterative methods for linear discrete ill-posed problems from a Bayesian inversion perspective (Q2508948) (← links)
- Statistical inverse problems: discretization, model reduction and inverse crimes (Q2508956) (← links)
- Optical Imaging (Q2789818) (← links)
- A stochastic simulation method for uncertainty quantification in the linearized inverse conductivity problem (Q2894981) (← links)
- Bayes Meets Krylov: Statistically Inspired Preconditioners for CGLS (Q4641716) (← links)
- Estimation of the Robin coefficient field in a Poisson problem with uncertain conductivity field (Q4682392) (← links)
- Graph-based prior and forward models for inverse problems on manifolds with boundaries (Q5030164) (← links)
- A Bayesian approach to improving the Born approximation for inverse scattering with high-contrast materials (Q5228005) (← links)
- Reconstruction of thermal conductivity and heat capacity using a tomographic approach (Q5920243) (← links)
- Modeling errors due to Timoshenko approximation in damage identification (Q6554530) (← links)
