A Subspace, Interior, and Conjugate Gradient Method for Large-Scale Bound-Constrained Minimization Problems.
Mary Ann BranchThomas F. ColemanYuying LiPublished in: SIAM J. Sci. Comput. (1999)
Keyphrases
- minimization problems
- conjugate gradient method
- total variation
- conjugate gradient
- upper bound
- low rank
- high dimensional data
- objective function
- iterative methods
- positive definite
- low dimensional
- denoising
- dimensionality reduction
- convergence property
- image restoration
- cutting plane
- convex optimization
- data sets
- principal component analysis
- worst case
- high dimensional
- lower bound
- feature space
- image sequences
- support vector machine
- interior point