Pages that link to "Item:Q1663467"
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The following pages link to Large-scale stochastic linear inversion using hierarchical matrices. Illustrated with an application to crosswell tomography in seismic imaging (Q1663467):
Displaying 14 items.
- New parallel stochastic global integral and local differential equation modeling and inversion (Q992183) (← links)
- Tucker tensor analysis of Matérn functions in spatial statistics (Q2324355) (← links)
- A fast block low-rank dense solver with applications to finite-element matrices (Q2374895) (← links)
- Large scale inverse problems. Computational methods and applications in the Earth sciences. Based on the invited talks of the workshop, Johann Radon Institute for Computational and Applied Mathematics (RICAM), Linz, Austria, October 24--28, 2011 (Q2391536) (← links)
- Likelihood approximation with hierarchical matrices for large spatial datasets (Q2416774) (← links)
- A Bayesian linear model for the high-dimensional inverse problem of seismic tomography (Q2443172) (← links)
- A stochastic Newton MCMC method for large-scale statistical inverse problems with application to seismic inversion (Q2909273) (← links)
- Efficient generalized Golub–Kahan based methods for dynamic inverse problems (Q4607819) (← links)
- Generalized Hybrid Iterative Methods for Large-Scale Bayesian Inverse Problems (Q5372617) (← links)
- Randomized algorithms for generalized Hermitian eigenvalue problems with application to computing Karhunen–Loève expansion (Q5739763) (← links)
- Hybrid projection methods for large-scale inverse problems with mixed Gaussian priors (Q5854067) (← links)
- HODLR2D: A New Class of Hierarchical Matrices (Q6054287) (← links)
- HODLR\(d\)D: a new black-box fast algorithm for \(N\)-body problems in \(d\)-dimensions with guaranteed error bounds. Applications to integral equations and support vector machines (Q6126569) (← links)
- Efficient iterative methods for hyperparameter estimation in large-scale linear inverse problems (Q6660076) (← links)
