Fast iterative solution of the Bethe-Salpeter eigenvalue problem using low-rank and QTT tensor approximation.
Peter BennerSergey DolgovVenera KhoromskaiaBoris N. KhoromskijPublished in: J. Comput. Phys. (2017)
Keyphrases
- low rank
- frobenius norm
- trace norm
- high order
- low rank matrix
- convex optimization
- matrix factorization
- approximation methods
- tensor decomposition
- matrix completion
- linear combination
- missing data
- matrix decomposition
- closed form
- singular value decomposition
- kernel matrix
- rank minimization
- free energy
- least squares
- high dimensional data
- higher order
- semi supervised
- optimal solution
- low rank approximation
- minimization problems
- low rank matrices
- data mining
- robust principal component analysis
- covariance matrix
- optical flow
- machine learning