The following pages link to Fast approximate truncated SVD (Q5227193):
Displaying 18 items.
- Accelerating large partial EVD/SVD calculations by filtered block Davidson methods (Q341332) (← links)
- A Krylov-Schur approach to the truncated SVD (Q413526) (← links)
- Construction and Monte Carlo estimation of wavelet frames generated by a reproducing kernel (Q829893) (← links)
- Accuracy of singular vectors obtained by projection-based SVD methods (Q1689319) (← links)
- A split-and-merge approach for singular value decomposition of large-scale matrices (Q1747605) (← links)
- Reduced basis decomposition: a certified and fast lossy data compression algorithm (Q2006533) (← links)
- Model order reduction of port-Hamiltonian systems with inhomogeneous initial conditions via approximate finite-time Gramians (Q2113674) (← links)
- A consistency theorem for randomized singular value decomposition (Q2307419) (← links)
- AMID: approximation of multi-measured data using SVD (Q2390395) (← links)
- An efficient truncated SVD of large matrices based on the low-rank approximation for inverse geophysical problems (Q2630591) (← links)
- Structure and perturbation analysis of truncated SVDs for column-partitioned matrices (Q2719196) (← links)
- The centroid decomposition: Relationships between discrete variational decompositions and SVDs (Q2784396) (← links)
- A distributed and incremental SVD algorithm for agglomerative data analysis on large networks (Q2834696) (← links)
- A new truncation strategy for the higher-order singular value decomposition (Q2904823) (← links)
- Computing Low-Rank Approximations of Large-Scale Matrices with the Tensor Network Randomized SVD (Q4584919) (← links)
- Lanczos, Householder transformations, and implicit deflation for fast and reliable dominant singular subspace computation (Q4814584) (← links)
- Flip-flop spectrum-revealing QR factorization and its applications to singular value decomposition (Q5218403) (← links)
- Beyond symmetry: best submatrix selection for the sparse truncated SVD (Q6634519) (← links)
