Pages that link to "Item:Q905744"
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The following pages link to On low-rank approximability of solutions to high-dimensional operator equations and eigenvalue problems (Q905744):
Displaying 22 items.
- Matrix-equation-based strategies for convection-diffusion equations (Q291921) (← links)
- Tensor networks and hierarchical tensors for the solution of high-dimensional partial differential equations (Q506609) (← links)
- Low-rank Kronecker-product approximation to multi-dimensional nonlocal operators I. Separable approximation of multi-variate functions (Q817039) (← links)
- Adaptive near-optimal rank tensor approximation for high-dimensional operator equations (Q896549) (← links)
- On the singular values of matrices with high displacement rank (Q1748068) (← links)
- Modified iterations for data-sparse solution of linear systems (Q2042261) (← links)
- Faster tensor train decomposition for sparse data (Q2068649) (← links)
- Joint reconstruction and low-rank decomposition for dynamic inverse problems (Q2128592) (← links)
- On the spectral structure of Jordan-Kronecker products of symmetric and skew-symmetric matrices (Q2226438) (← links)
- Computing low-rank rightmost eigenpairs of a class of matrix-valued linear operators (Q2230583) (← links)
- Low rank tensor methods in Galerkin-based isogeometric analysis (Q2309006) (← links)
- Iterative methods based on soft thresholding of hierarchical tensors (Q2407677) (← links)
- Adaptive low-rank methods: problems on Sobolev spaces (Q2796861) (← links)
- Adaptive low-rank methods for problems on Sobolev spaces with error control in \(\mathrm{L}_{2}\) (Q2820345) (← links)
- On low rank approximation of linear operators in \(p\)-norms and some algorithms (Q2821088) (← links)
- A literature survey of low-rank tensor approximation techniques (Q2864808) (← links)
- Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format (Q5052901) (← links)
- Low rank rational perturbations of linear symmetric eigenproblems (Q5485457) (← links)
- Bayesian inversion for electromyography using low-rank tensor formats (Q5859752) (← links)
- Analysis of the Truncated Conjugate Gradient Method for Linear Matrix Equations (Q5885818) (← links)
- Low-rank tensor methods for partial differential equations (Q6047498) (← links)
- High-dimensional density estimation with tensorizing flow (Q6173686) (← links)
