Pages that link to "Item:Q4584919"

The following pages link to Computing Low-Rank Approximations of Large-Scale Matrices with the Tensor Network Randomized SVD (Q4584919):

Displaying 11 items.

• Matrix output extension of the tensor network Kalman filter with an application in MIMO Volterra system identification (Q1626922) (← links)
• Block tensor train decomposition for missing data estimation (Q1757240) (← links)
• Faster tensor train decomposition for sparse data (Q2068649) (← links)
• Global/local model order reduction in coupled flow and linear thermal-poroelasticity (Q2185986) (← links)
• Regularized computation of approximate pseudoinverse of large matrices using low-rank tensor train decompositions (Q2806190) (← links)
• Random Projections for Low Multilinear Rank Tensors (Q2806290) (← links)
• Randomized Algorithms for Low-Rank Tensor Decompositions in the Tucker Format (Q5027024) (← links)
• Structured Matrix Approximations via Tensor Decompositions (Q5057769) (← links)
• Performance of the Low-Rank TT-SVD for Large Dense Tensors on Modern MultiCore CPUs (Q5095475) (← links)
• Flip-flop spectrum-revealing QR factorization and its applications to singular value decomposition (Q5218403) (← links)
• Randomized Algorithms for Rounding in the Tensor-Train Format (Q5886850) (← links)