Sparse recovery of elliptic solvers from matrix-vector products.
Florian SchäferHouman OwhadiPublished in: CoRR (2021)
Keyphrases
- sparse matrix
- coefficient matrix
- rows and columns
- random projections
- low rank matrix
- eigenvalue decomposition
- least squares
- rank minimization
- symmetric matrix
- transformation matrix
- low rank matrices
- matrix representation
- feature vectors
- product design
- sat solvers
- vector space
- eigenvalues and eigenvectors
- eigenvalue problems
- recovery algorithm
- tensor factorization
- compressive sensing