The following pages link to Markus Bachmayr (Q485310):
Displaying 35 items.
- Approximation of high-dimensional rank one tensors (Q485311) (← links)
- Tensor networks and hierarchical tensors for the solution of high-dimensional partial differential equations (Q506609) (← links)
- Error estimates for Hermite and even-tempered Gaussian approximations in quantum chemistry (Q740811) (← links)
- Adaptive near-optimal rank tensor approximation for high-dimensional operator equations (Q896549) (← links)
- Representations of Gaussian random fields and approximation of elliptic PDEs with lognormal coefficients (Q1645270) (← links)
- Atomic cluster expansion: completeness, efficiency and stability (Q2133699) (← links)
- Particle number conservation and block structures in matrix product states (Q2149943) (← links)
- Stability of low-rank tensor representations and structured multilevel preconditioning for elliptic PDEs (Q2216250) (← links)
- Identifiability of diffusion coefficients for source terms of non-uniform sign (Q2327986) (← 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)
- Hyperbolic wavelet discretization of the two-electron Schrödinger equation in an explicitly correlated formulation (Q2838587) (← links)
- Integration of products of Gaussians and wavelets with applications to electronic structure calculations (Q2870614) (← links)
- Kolmogorov widths and low-rank approximations of parametric elliptic PDEs (Q2953203) (← links)
- Sparse polynomial approximation of parametric elliptic PDEs. Part I: affine coefficients (Q2963771) (← links)
- Sparse polynomial approximation of parametric elliptic PDEs. Part II: lognormal coefficients (Q2963772) (← links)
- Iterative total variation schemes for nonlinear inverse problems (Q3643520) (← links)
- Parametric PDEs: sparse or low-rank approximations? (Q4555985) (← links)
- Existence of dynamical low-rank approximations to parabolic problems (Q4992232) (← links)
- Adaptive low-rank approximations for operator equations: Accuracy control and computational complexity (Q4998630) (← links)
- Sequential Sampling for Optimal Weighted Least Squares Approximations in Hierarchical Spaces (Q5025780) (← links)
- An adaptive stochastic Galerkin method based on multilevel expansions of random fields: Convergence and optimality (Q5044411) (← links)
- Unified Analysis of Periodization-Based Sampling Methods for Matérn Covariances (Q5130585) (← links)
- Fully Discrete Approximation of Parametric and Stochastic Elliptic PDEs (Q5355556) (← links)
- Low-rank tensor methods for partial differential equations (Q6047498) (← links)
- Polynomial approximation of symmetric functions (Q6140849) (← links)
- Multilevel representations of isotropic Gaussian random fields on the sphere (Q6171577) (← links)
- Analysis of nonlinear poroviscoelastic flows with discontinuous porosities <sup>*</sup> (Q6181863) (← links)
- A space-time adaptive low-rank method for high-dimensional parabolic partial differential equations (Q6193961) (← links)
- Atomic Cluster Expansion: Completeness, Efficiency and Stability (Q6328816) (← links)
- A convergent adaptive finite element stochastic Galerkin method based on multilevel expansions of random fields (Q6526926) (← links)
- Low-rank tensor product Richardson iteration for radiative transfer in plane-parallel geometry (Q6527017) (← links)
- Variationally Correct Neural Residual Regression for Parametric PDEs: On the Viability of Controlled Accuracy (Q6730783) (← links)
- An adaptive space-time method for nonlinear poroviscoelastic flows with discontinuous porosities (Q6745322) (← links)
