Universal duality in conic convex optimization.
Simon P. SchurrAndré L. TitsDianne P. O'LearyPublished in: Math. Program. (2007)
Keyphrases
- convex optimization
- dual formulation
- interior point methods
- condition number
- low rank
- primal dual
- total variation
- convex relaxation
- linear programming
- convex formulation
- augmented lagrangian
- convex optimization problems
- norm minimization
- denoising
- convex programming
- dynamic programming
- convex constraints
- semidefinite program
- computer vision
- machine learning algorithms
- image restoration
- feature vectors