The following pages link to Tensorlab (Q26160):
Displaying 50 items.
- Designing rational filter functions for solving eigenvalue problems by contour integration (Q281986) (← links)
- Nonlinear eigenvalue problems and contour integrals (Q495086) (← links)
- Finding a low-rank basis in a matrix subspace (Q517309) (← links)
- Symmetric tensor decomposition by an iterative eigendecomposition algorithm (Q738956) (← links)
- HOSVD based multidimensional parameter estimation for massive MIMO system from incomplete channel measurements (Q784644) (← links)
- Efficient alternating least squares algorithms for low multilinear rank approximation of tensors (Q831251) (← links)
- A preconditioning strategy for linear systems arising from nonsymmetric schemes in isogeometric analysis (Q1663833) (← links)
- Computing the unique CANDECOMP/PARAFAC decomposition of unbalanced tensors by homotopy method (Q1669000) (← links)
- Effective identifiability criteria for tensors and polynomials (Q1690790) (← links)
- From exponential analysis to Padé approximation and tensor decomposition, in one and more dimensions (Q1798313) (← links)
- Robust isogeometric preconditioners for the Stokes system based on the fast diagonalization method (Q1986198) (← links)
- Compact video content representation for video coding using low multi-linear tensor rank approximation with dynamic core tensor order (Q1993646) (← links)
- Feature extraction from unequal length heterogeneous EHR time series via dynamic time warping and tensor decomposition (Q2036789) (← links)
- Structuring data with block term decomposition: decomposition of joint tensors and variational block term decomposition as a parametrized mixture distribution model (Q2038495) (← links)
- An efficient randomized algorithm for computing the approximate Tucker decomposition (Q2049079) (← links)
- Shifted eigenvalue decomposition method for computing C-eigenvalues of a piezoelectric-type tensor (Q2052265) (← links)
- Riemannian Newton optimization methods for the symmetric tensor approximation problem (Q2070849) (← links)
- On large-scale dynamic topic modeling with nonnegative CP tensor decomposition (Q2072587) (← links)
- Low-rank approximation to entangled multipartite quantum systems (Q2107056) (← links)
- Rank-1 approximation for entangled multipartite real systems (Q2113671) (← links)
- An unconventional robust integrator for dynamical low-rank approximation (Q2114101) (← links)
- Solving systems of polynomial equations -- a tensor approach (Q2128457) (← links)
- On approximation algorithm for orthogonal low-rank tensor approximation (Q2159448) (← links)
- Best sparse rank-1 approximation to higher-order tensors via a truncated exponential induced regularizer (Q2161912) (← links)
- Several approximation algorithms for sparse best rank-1 approximation to higher-order tensors (Q2162522) (← links)
- Time integration of symmetric and anti-symmetric low-rank matrices and Tucker tensors (Q2192592) (← links)
- An efficient solver for space-time isogeometric Galerkin methods for parabolic problems (Q2214435) (← links)
- Randomized algorithms for the low multilinear rank approximations of tensors (Q2226319) (← links)
- Perturbation analysis for matrix joint block diagonalization (Q2273874) (← links)
- Decoupling multivariate polynomials: interconnections between tensorizations (Q2315916) (← links)
- Homotopy techniques for tensor decomposition and perfect identifiability (Q2317007) (← links)
- A linear algebra approach to OLAP (Q2355381) (← links)
- Flow-based dissimilarity measures for reservoir models: a spatial-temporal tensor approach (Q2398874) (← links)
- Low rank tensor recovery via iterative hard thresholding (Q2400255) (← links)
- Low rank interpolation of boundary spline curves (Q2409681) (← links)
- Randomized algorithms for the approximations of Tucker and the tensor train decompositions (Q2631991) (← links)
- MERACLE: constructive layer-wise conversion of a tensor train into a MERA (Q2667352) (← links)
- A \(\mu\)-mode BLAS approach for multidimensional tensor-structured problems (Q2691912) (← links)
- Computing partial spectra with least-squares rational filters (Q2827038) (← links)
- On the Krylov subspace methods based on tensor format for positive definite Sylvester tensor equations. (Q2829106) (← links)
- Isogeometric preconditioners based on fast solvers for the Sylvester equation (Q2833536) (← links)
- A literature survey of low-rank tensor approximation techniques (Q2864808) (← links)
- An Algebraic Approach to Nonorthogonal General Joint Block Diagonalization (Q2957679) (← links)
- Rank-1 Tensor Properties with Applications to a Class of Tensor Optimization Problems (Q3465242) (← links)
- Design of a High-Performance GEMM-like Tensor–Tensor Multiplication (Q4581393) (← links)
- A constructive arbitrary‐degree Kronecker product decomposition of tensors (Q4599013) (← links)
- The Condition Number of Join Decompositions (Q4604567) (← links)
- Learning Paths from Signature Tensors (Q4631266) (← links)
- Exploiting Efficient Representations in Large-Scale Tensor Decompositions (Q4631411) (← links)
- On the convergence of higher-order orthogonal iteration (Q4685516) (← links)
