Pages that link to "Item:Q3165168"
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The following pages link to Fast low rank approximations of matrices and tensors (Q3165168):
Displaying 39 items.
- Submodular spectral functions of principal submatrices of a Hermitian matrix, extensions and applications (Q389651) (← links)
- Finding a low-rank basis in a matrix subspace (Q517309) (← links)
- A note on tensor chain approximation (Q525265) (← links)
- Low rank approximation. Algorithms, implementation, applications (Q640674) (← links)
- On the generic and typical ranks of 3-tensors (Q649550) (← links)
- Black box low tensor-rank approximation using fiber-crosses (Q843731) (← links)
- A randomized algorithm for a tensor-based generalization of the singular value decomposition (Q861021) (← links)
- A fast randomized algorithm for the approximation of matrices (Q952399) (← links)
- Tensor and border rank of certain classes of matrices and the fast evaluation of determinant, inverse matrix, and eigenvalues (Q1085947) (← links)
- Finding metastabilities in reversible Markov chains based on incomplete sampling (Q1678978) (← links)
- Fast structured matrix computations: tensor rank and Cohn-Umans method (Q1704813) (← links)
- Monotonically convergent algorithms for symmetric tensor approximation (Q1931773) (← links)
- Fast randomized matrix and tensor interpolative decomposition using countsketch (Q2025436) (← links)
- Effective implementation to reduce execution time of a low-rank matrix approximation problem (Q2231284) (← links)
- On the rank-one approximation of positive matrices using tropical optimization methods (Q2289366) (← links)
- A cross-product approach for low-rank approximations of large matrices (Q2293619) (← links)
- ALORA: affine low-rank approximations (Q2312001) (← links)
- Pseudospectra localizations for generalized tensor eigenvalues to seek more positive definite tensors (Q2327430) (← links)
- Fast low-rank modifications of the thin singular value decomposition (Q2368737) (← links)
- DMRG approach to fast linear algebra in the TT-format (Q2439970) (← links)
- Fast computation of convolution operations via low-rank approximation (Q2448383) (← links)
- A way for low ranking matrices and its stochastic computations using Monte Carlo method (Q2509434) (← links)
- New estimates for the recursive low-rank truncation of block-structured matrices (Q2634610) (← links)
- Fast least squares approximation using tensor products of functions and linear forms (Q2759589) (← links)
- Low-rank approximations with sparse factors. I: Basic algorithms and error analysis (Q2784376) (← links)
- HOID: higher order interpolatory decomposition for tensors based on Tucker representation (Q2818274) (← links)
- A literature survey of low-rank tensor approximation techniques (Q2864808) (← links)
- Fast Revealing of Mode Ranks of Tensor in Canonical Form (Q3571753) (← links)
- Recursive fast algorithm and the role of the tensor product (Q4034240) (← links)
- Computing Low-Rank Approximations of Large-Scale Matrices with the Tensor Network Randomized SVD (Q4584919) (← links)
- Literature survey on low rank approximation of matrices (Q4603753) (← links)
- APPROXIMATION OF THE MATRIX WITH POSITIVE ELEMENTS BY THE SINGLE RANK MATRIX (Q4630335) (← links)
- Efficient Construction of Tensor Ring Representations from Sampling (Q5006479) (← links)
- Structured Matrix Approximations via Tensor Decompositions (Q5057769) (← links)
- Parallel Algorithms for Low Rank Tensor Arithmetic (Q5114955) (← links)
- A proof of a conjecture of Gyárfás, Lehel, Sárközy and Schelp on Berge-cycles (Q5886104) (← links)
- A fast algorithm for computing a matrix transform used to detect trends in noisy data (Q6044776) (← links)
- A compact heart iteration for low-rank approximations of large matrices (Q6049289) (← links)
- Low-rank approximation with <i> 1/𝜖 <sup>1/3</sup> </i> matrix-vector products (Q6083565) (← links)
