Pages that link to "Item:Q500731"
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The following pages link to Kriging and spatial design accelerated by orders of magnitude: combining low-rank covariance approximations with FFT-techniques (Q500731):
Displaying 13 items.
- Efficient computation of linearized cross-covariance and auto-covariance matrices of interdependent quantities (Q744193) (← links)
- Iterative algorithms for the post-processing of high-dimensional data (Q777570) (← links)
- Sum of Kronecker products representation and its Cholesky factorization for spatial covariance matrices from large grids (Q830501) (← links)
- Application of FFT-based algorithms for large-scale universal kriging problems (Q1035766) (← links)
- Solution of the 3D density-driven groundwater flow problem with uncertain porosity and permeability (Q2176414) (← links)
- Tucker tensor analysis of Matérn functions in spatial statistics (Q2324355) (← links)
- Fast and accurate approximation to Kriging using common data neighborhoods (Q2399829) (← links)
- Likelihood approximation with hierarchical matrices for large spatial datasets (Q2416774) (← links)
- Tensorized low-rank circulant preconditioners for multilevel Toeplitz linear systems from high-dimensional fractional Riesz equations (Q2667987) (← links)
- Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format (Q3452537) (← 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)
- Scalable Physics-Based Maximum Likelihood Estimation Using Hierarchical Matrices (Q6177922) (← links)
- Spatial best linear unbiased prediction: a computational mathematics approach for high dimensional massive datasets (Q6500169) (← links)
