Finding Low-rank Solutions of Sparse Linear Matrix Inequalities using Convex Optimization.
Ramtin MadaniSomayeh SojoudiGhazal FazelniaJavad LavaeiPublished in: SIAM J. Optim. (2017)
Keyphrases
- convex optimization
- low rank
- low rank matrix
- rank minimization
- nuclear norm
- interior point methods
- matrix completion
- kernel matrix
- convex optimization problems
- total variation
- low rank and sparse
- missing data
- evolutionary algorithm
- optimal solution
- norm minimization
- primal dual
- singular values
- sparse matrix
- sparse representation
- minimization problems
- linear combination
- data sets
- matrix factorization