Convex optimization in Julia.
Madeleine UdellKaranveer MohanDavid ZengJenny HongSteven DiamondStephen P. BoydPublished in: HPTCDL@SC (2014)
Keyphrases
- convex optimization
- interior point methods
- total variation
- low rank
- convex optimization problems
- primal dual
- convex relaxation
- augmented lagrangian
- convex programming
- operator splitting
- norm minimization
- pairwise
- semidefinite program
- machine learning
- image denoising
- image processing
- computer vision
- convex formulation
- alternating direction method of multipliers