Pages that link to "Item:Q330094"

The following pages link to Tensor-sparsity of solutions to high-dimensional elliptic partial differential equations (Q330094):

Displaying 36 items.

• Tensor networks and hierarchical tensors for the solution of high-dimensional partial differential equations (Q506609) (← links)
• Nonlinear tensor product approximation of functions (Q890230) (← links)
• Meshless Hermite-HDMR finite difference method for high-dimensional Dirichlet problems (Q2000930) (← links)
• Modified iterations for data-sparse solution of linear systems (Q2042261) (← links)
• Search for sparse solutions of super-large systems with a tensor structure (Q2101411) (← links)
• Tensor decomposition and high-performance computing for solving high-dimensional stochastic control system numerically (Q2121191) (← links)
• Numerical solution of a class of third order tensor linear equations (Q2193426) (← links)
• On the expansion of solutions of Laplace-like equations into traces of separable higher dimensional functions (Q2201090) (← links)
• HT-AWGM: a hierarchical Tucker-adaptive wavelet Galerkin method for high-dimensional elliptic problems (Q2216606) (← links)
• On the approximation of electronic wavefunctions by anisotropic Gauss and Gauss-Hermite functions (Q2364896) (← links)
• Sparse grid discontinuous Galerkin methods for high-dimensional elliptic equations (Q2375128) (← links)
• Iterative methods based on soft thresholding of hierarchical tensors (Q2407677) (← links)
• A resilient domain decomposition polynomial chaos solver for uncertain elliptic PDEs (Q2414430) (← links)
• Sparse tensor product high dimensional finite elements for two-scale mixed problems (Q2658823) (← 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)
• A tensor approximation method based on ideal minimal residual formulations for the solution of high-dimensional problems (Q2936552) (← links)
• Sparse tensor discretizations of high-dimensional parametric and stochastic PDEs (Q3100349) (← links)
• Geometric Methods on Low-Rank Matrix and Tensor Manifolds (Q3300541) (← links)
• Sparse Approximation by Greedy Algorithms (Q4609500) (← links)
• Range-Separated Tensor Format for Many-Particle Modeling (Q4637674) (← links)
• On the Decay Rate of the Singular Values of Bivariate Functions (Q4637761) (← links)
• Low-Rank Approximation to Heterogeneous Elliptic Problems (Q4643807) (← 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)
• Dynamical Low-Rank Integrator for the Linear Boltzmann Equation: Error Analysis in the Diffusion Limit (Q5009347) (← links)
• Low-Rank Tensor Approximation for Chebyshev Interpolation in Parametric Option Pricing (Q5131414) (← links)
• Matrix Oriented Reduction of Space-Time Petrov-Galerkin Variational Problems (Q5152908) (← links)
• Cubature, Approximation, and Isotropy in the Hypercube (Q5348327) (← links)
• Bayesian inversion for electromyography using low-rank tensor formats (Q5859752) (← links)
• Randomized Algorithms for Rounding in the Tensor-Train Format (Q5886850) (← links)
• A posteriori error analysis and adaptivity for high-dimensional elliptic and parabolic boundary value problems (Q6044435) (← links)
• Low-rank tensor methods for partial differential equations (Q6047498) (← links)
• A space-time adaptive low-rank method for high-dimensional parabolic partial differential equations (Q6193961) (← links)
• An iterative method for the solution of Laplace-like equations in high and very high space dimensions (Q6493747) (← links)
• The reduced basis method in space and time: challenges, limits and perspectives (Q6629172) (← links)