A memory gradient method for non-smooth convex optimization.
Yigui OuYuanwen LiuPublished in: Int. J. Comput. Math. (2015)
Keyphrases
- convex optimization
- gradient method
- convex formulation
- interior point methods
- convex relaxation
- negative matrix factorization
- convergence rate
- step size
- optimization methods
- primal dual
- total variation
- convex optimization problems
- evolutionary algorithm
- computer vision
- multi objective
- data clustering
- text classification
- support vector machine
- machine learning
- alternating direction method of multipliers