Regularized computation of approximate pseudoinverse of large matrices using low-rank tensor train decompositions (Q2806190)
From MaRDI portal
 | This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Regularized computation of approximate pseudoinverse of large matrices using low-rank tensor train decompositions |
scientific article; zbMATH DE number 6581016
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Regularized computation of approximate pseudoinverse of large matrices using low-rank tensor train decompositions |
scientific article; zbMATH DE number 6581016 |
Statements
17 May 2016
0 references
alternating least squares
0 references
density matrix renormalization group
0 references
curse of dimensionality
0 references
solving of huge system of linear equations
0 references
low-rank tensor approximation
0 references
matrix product operators
0 references
matrix product states
0 references
preconditioning
0 references
generalized inverse of huge matrices
0 references
tensor networks
0 references
big data
0 references
Moore-Penrose pseudoinverse
0 references
tensor train decomposition
0 references
regularization
0 references
ill-posedness
0 references
numerical result
0 references
0 references
0 references
0 references
0 references
0 references
Regularized computation of approximate pseudoinverse of large matrices using low-rank tensor train decompositions (English)
0 references
