Pages that link to "Item:Q91405"

The following pages link to Tensor Decompositions and Applications (Q91405):

Displaying 50 items.

• Nonnegative non-redundant tensor decomposition (Q1945575) (← links)
• H-eigenvalues of signless Laplacian tensor for an even uniform hypergraph (Q1945578) (← links)
• Efficient algorithms for computing the largest eigenvalue of a nonnegative tensor (Q1945581) (← links)
• Sets computing the symmetric tensor rank (Q1949838) (← links)
• An upper bound for the tensor rank (Q1952650) (← links)
• Exact matrix completion based on low rank Hankel structure in the Fourier domain (Q1979919) (← links)
• Hyperlink regression via Bregman divergence (Q1980417) (← links)
• Weighted Moore-Penrose inverses of arbitrary-order tensors (Q1983772) (← links)
• Compressed sparse tensor based quadrature for vibrational quantum mechanics integrals (Q1985519) (← links)
• A hyperspace of convex bodies arising from tensor norms (Q1985681) (← links)
• Robust isogeometric preconditioners for the Stokes system based on the fast diagonalization method (Q1986198) (← links)
• Efficient quadrature rules for subdivision surfaces in isogeometric analysis (Q1986281) (← links)
• Advanced separated spatial representations for hardly separable domains (Q1988183) (← links)
• Generalized visual information analysis via tensorial algebra (Q1988472) (← links)
• On global iterative schemes based on Hessenberg process for (ill-posed) Sylvester tensor equations (Q1989166) (← links)
• Multilayer tensor factorization with applications to recommender systems (Q1990581) (← links)
• The permanent functions of tensors (Q1994059) (← links)
• Direct tensor-product solution of one-dimensional elliptic equations with parameter-dependent coefficients (Q1997007) (← links)
• Tensor-based mathematical framework and new centralities for temporal multilayer networks (Q1999181) (← links)
• Datadriven HOPGD based computational vademecum for welding parameter identification (Q1999553) (← links)
• Greedy low-rank approximation in Tucker format of solutions of tensor linear systems (Q2000621) (← links)
• Parallel tensor methods for high-dimensional linear PDEs (Q2002269) (← links)
• Efficient tree decomposition of high-rank tensors (Q2002458) (← links)
• On approximate diagonalization of third order symmetric tensors by orthogonal transformations (Q2002566) (← links)
• On TLS formulation and core reduction for data fitting with generalized models (Q2002685) (← links)
• On the subdifferential of symmetric convex functions of the spectrum for symmetric and orthogonally decomposable tensors (Q2002772) (← links)
• Interval tensors and their application in solving multi-linear systems of equations (Q2004549) (← links)
• An adaptive procedure for the global minimization of a class of polynomial functions (Q2004881) (← links)
• On reverse-order law of tensors and its application to additive results on Moore-Penrose inverse (Q2006281) (← links)
• Computing the spark: mixed-integer programming for the (vector) matroid girth problem (Q2007824) (← links)
• Computation of the output of a function with fuzzy inputs based on a low-rank tensor approximation (Q2013835) (← links)
• An inequality for the Perron pair of an irreducible and symmetric nonnegative tensor with application (Q2014674) (← links)
• Computing geometric measure of entanglement for symmetric pure states via the Jacobian SDP relaxation technique (Q2014679) (← links)
• Linear operators and positive semidefiniteness of symmetric tensor spaces (Q2018916) (← links)
• Finite volume approximation with ADI scheme and low-rank solver for high dimensional spatial distributed-order fractional diffusion equations (Q2019582) (← links)
• An iterative scheme for identifying the positive semi-definiteness of even-order real symmetric H-tensor (Q2020532) (← links)
• The tensor rank problem over the quaternions (Q2020675) (← links)
• A two-stage surrogate model for neo-Hookean problems based on adaptive proper orthogonal decomposition and hierarchical tensor approximation (Q2020966) (← links)
• A preconditioning technique in conjunction with Krylov subspace methods for solving multilinear systems (Q2021496) (← links)
• Tensor \(N\)-tubal rank and its convex relaxation for low-rank tensor recovery (Q2023171) (← links)
• Acceleration techniques for level bundle methods in weakly smooth convex constrained optimization (Q2023658) (← links)
• Group level social media popularity prediction by MRGB and Adam optimization (Q2025074) (← links)
• Fast randomized matrix and tensor interpolative decomposition using countsketch (Q2025436) (← links)
• Two-dimensional seismic data reconstruction using patch tensor completion (Q2026418) (← links)
• Reducible solution to a quaternion tensor equation (Q2027126) (← links)
• Spectral methods for nonlinear functionals and functional differential equations (Q2028689) (← links)
• Tensor Krylov subspace methods with an invertible linear transform product applied to image processing (Q2029165) (← links)
• Tensorial graph learning for link prediction in generalized heterogeneous networks (Q2029329) (← links)
• Feature extraction from unequal length heterogeneous EHR time series via dynamic time warping and tensor decomposition (Q2036789) (← links)
• Tensor train rank minimization with nonlocal self-similarity for tensor completion (Q2037222) (← links)