Pages that link to "Item:Q2864808"
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The following pages link to A literature survey of low-rank tensor approximation techniques (Q2864808):
Displaying 50 items.
- Uncertainty propagation in orbital mechanics via tensor decomposition (Q285135) (← links)
- Matrix-equation-based strategies for convection-diffusion equations (Q291921) (← links)
- An algorithm for low-rank approximation of bivariate functions using splines (Q311405) (← links)
- Møller-Plesset (MP2) energy correction using tensor factorization of the grid-based two-electron integrals (Q313833) (← links)
- Approximation of solutions to multidimensional parabolic equations by approximate approximations (Q326766) (← links)
- Low-rank approximation in the numerical modeling of the Farley-Buneman instability in ionospheric plasma (Q348918) (← links)
- Low-rank tensor completion by Riemannian optimization (Q398628) (← links)
- Simultaneous optical flow and source estimation: space-time discretization and preconditioning (Q492924) (← links)
- Tensor networks and hierarchical tensors for the solution of high-dimensional partial differential equations (Q506609) (← links)
- Low-rank updates of balanced incomplete factorization preconditioners (Q509632) (← links)
- Subspace methods with local refinements for eigenvalue computation using low-rank tensor-train format (Q520189) (← links)
- Towards tensor-based methods for the numerical approximation of the Perron-Frobenius and Koopman operator (Q523959) (← links)
- Reproducing kernel technique for high dimensional model representations (HDMR) (Q525724) (← links)
- Grid-based lattice summation of electrostatic potentials by assembled rank-structured tensor approximation (Q525732) (← links)
- Randomized interpolative decomposition of separated representations (Q728743) (← links)
- A numerical solver for high dimensional transient Fokker-Planck equation in modeling polymeric fluids (Q729191) (← links)
- Iterative algorithms for the post-processing of high-dimensional data (Q777570) (← links)
- Twist tensor total variation regularized-reweighted nuclear norm based tensor completion for video missing area recovery (Q781059) (← links)
- Fundamental tensor operations for large-scale data analysis using tensor network formats (Q784596) (← links)
- Sum of Kronecker products representation and its Cholesky factorization for spatial covariance matrices from large grids (Q830501) (← links)
- Adaptive near-optimal rank tensor approximation for high-dimensional operator equations (Q896549) (← links)
- On low-rank approximability of solutions to high-dimensional operator equations and eigenvalue problems (Q905744) (← links)
- Convergence rate analysis for the higher order power method in best rank one approximations of tensors (Q1616037) (← links)
- Low-rank parameterization of planar domains for isogeometric analysis (Q1647777) (← links)
- A tensor-train accelerated solver for integral equations in complex geometries (Q1685248) (← links)
- Fast iterative solution of the Bethe-Salpeter eigenvalue problem using low-rank and QTT tensor approximation (Q1685252) (← links)
- Multilevel tensor approximation of PDEs with random data (Q1685682) (← links)
- Quantized tensor-structured finite elements for second-order elliptic PDEs in two dimensions (Q1692304) (← links)
- Convergence analysis of Riemannian Gauss-Newton methods and its connection with the geometric condition number (Q1693629) (← links)
- Model reduction method using variable-separation for stochastic saddle point problems (Q1700715) (← links)
- Higher-order principal component analysis for the approximation of tensors in tree-based low-rank formats (Q1728088) (← links)
- Alternating iterative methods for solving tensor equations with applications (Q1736417) (← links)
- Block tensor train decomposition for missing data estimation (Q1757240) (← links)
- On the rank and the approximation of symmetric tensors (Q1979384) (← links)
- Compressed sparse tensor based quadrature for vibrational quantum mechanics integrals (Q1985519) (← links)
- Compact video content representation for video coding using low multi-linear tensor rank approximation with dynamic core tensor order (Q1993646) (← links)
- Direct tensor-product solution of one-dimensional elliptic equations with parameter-dependent coefficients (Q1997007) (← links)
- Iterative adaptive nonconvex low-rank tensor approximation to image restoration based on ADMM (Q1999470) (← links)
- Greedy low-rank approximation in Tucker format of solutions of tensor linear systems (Q2000621) (← links)
- Computation of the output of a function with fuzzy inputs based on a low-rank tensor approximation (Q2013835) (← links)
- A two-stage surrogate model for neo-Hookean problems based on adaptive proper orthogonal decomposition and hierarchical tensor approximation (Q2020966) (← links)
- Prospects of tensor-based numerical modeling of the collective electrostatics in many-particle systems (Q2038503) (← links)
- An efficient randomized algorithm for computing the approximate Tucker decomposition (Q2049079) (← links)
- Tree-based tensor formats (Q2059130) (← links)
- Solving differential Riccati equations: a nonlinear space-time method using tensor trains (Q2061362) (← links)
- A proximal point like method for solving tensor least-squares problems (Q2070322) (← links)
- Adaptive force biasing algorithms: new convergence results and tensor approximations of the bias (Q2090609) (← links)
- Committor functions via tensor networks (Q2099715) (← links)
- Low-rank tensor methods for Markov chains with applications to tumor progression models (Q2105306) (← links)
- Tensor decomposition and high-performance computing for solving high-dimensional stochastic control system numerically (Q2121191) (← links)
