The following pages link to Tensor-Train Decomposition (Q126157):
Displaying 50 items.
- Tensor rank bounds for point singularities in \(\mathbb{R}^3\) (Q2135612) (← links)
- Regularized high dimension low tubal-rank tensor regression (Q2137811) (← links)
- A low rank tensor representation of linear transport and nonlinear Vlasov solutions and their associated flow maps (Q2139008) (← links)
- Solving phase-field models in the tensor train format to generate microstructures of bicontinuous composites (Q2143087) (← links)
- Interpolatory tensorial reduced order models for parametric dynamical systems (Q2145123) (← links)
- tgEDMD: approximation of the Kolmogorov operator in tensor train format (Q2146443) (← links)
- A primal-dual algorithm for nonnegative \(N\)-th order CP tensor decomposition: application to fluorescence spectroscopy data analysis (Q2146528) (← links)
- Tensor completion via fully-connected tensor network decomposition with regularized factors (Q2149028) (← links)
- Particle number conservation and block structures in matrix product states (Q2149943) (← links)
- Fast multidimensional completion and principal component analysis methods via the cosine product (Q2149945) (← links)
- The set of orthogonal tensor trains (Q2155628) (← links)
- Three-value cutting tensors of intuitionistic fuzzy tensors (Q2156958) (← links)
- Perturbations of the \textsc{Tcur} decomposition for tensor valued data in the Tucker format (Q2159450) (← links)
- A sparse deep learning model for privacy attack on remote sensing images (Q2160655) (← links)
- Nonlinear transform induced tensor nuclear norm for tensor completion (Q2162239) (← links)
- An efficient algorithm for computing the approximate t-URV and its applications (Q2162323) (← links)
- On the closedness and geometry of tensor network state sets (Q2162500) (← links)
- Enhanced alternating energy minimization methods for stochastic Galerkin matrix equations (Q2162725) (← links)
- Polynomial chaos expansions for dependent random variables (Q2173605) (← links)
- Tensor-train decomposition for image recognition (Q2174198) (← links)
- High-order tensor estimation via trains of coupled third-order CP and Tucker decompositions (Q2174454) (← links)
- FFT-based homogenisation accelerated by low-rank tensor approximations (Q2180422) (← links)
- A low-rank solver for the stochastic unsteady Navier-Stokes problem (Q2180469) (← links)
- Rank minimization on tensor ring: an efficient approach for tensor decomposition and completion (Q2183595) (← links)
- Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables (Q2185599) (← links)
- Recursive blocked algorithms for linear systems with Kronecker product structure (Q2189415) (← links)
- Iterative low-rank approximation solvers for the extension method for fractional diffusion (Q2192560) (← links)
- Numerical solution of a class of third order tensor linear equations (Q2193426) (← links)
- A two-step accelerated Levenberg-Marquardt method for solving multilinear systems in tensor-train format (Q2196036) (← links)
- Characterization of sampling patterns for low-tt-rank tensor retrieval (Q2202522) (← links)
- Primal-dual optimization algorithms over Riemannian manifolds: an iteration complexity analysis (Q2205985) (← links)
- Nonlinear system identification with regularized tensor network B-splines (Q2208614) (← links)
- An optimization approach for dynamical Tucker tensor approximation (Q2211045) (← links)
- Computing the density of states for optical spectra of molecules by low-rank and QTT tensor approximation (Q2214584) (← links)
- Mathematical modeling of the Wuhan COVID-2019 epidemic and inverse problems (Q2214612) (← links)
- Stability of low-rank tensor representations and structured multilevel preconditioning for elliptic PDEs (Q2216250) (← links)
- HT-AWGM: a hierarchical Tucker-adaptive wavelet Galerkin method for high-dimensional elliptic problems (Q2216606) (← links)
- Low-rank Riemannian eigensolver for high-dimensional Hamiltonians (Q2222449) (← links)
- Dynamically orthogonal tensor methods for high-dimensional nonlinear PDEs (Q2223023) (← links)
- Fast algorithms for high-dimensional variable-order space-time fractional diffusion equations (Q2244023) (← links)
- Adaptive interpolation algorithm using TT-decomposition for modeling dynamical systems with interval parameters (Q2245903) (← links)
- Fast bilinear algorithms for symmetric tensor contractions (Q2246165) (← links)
- Quasioptimality of maximum-volume cross interpolation of tensors (Q2250929) (← links)
- Block structured preconditioners in tensor form for the all-at-once solution of a finite volume fractional diffusion equation (Q2274711) (← links)
- Time-evolution methods for matrix-product states (Q2281068) (← links)
- Low-rank tensor train for tensor robust principal component analysis (Q2284812) (← links)
- Robust Schatten-\(p\) norm based approach for tensor completion (Q2291931) (← links)
- Computing functions of very large matrices with small TT/QTT ranks by quadrature formulas (Q2297101) (← links)
- Decomposition theorem of intuitionistic fuzzy tensors (Q2301021) (← links)
- Approximation and sampling of multivariate probability distributions in the tensor train decomposition (Q2302512) (← links)
