SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties.
Jian HuangYuling JiaoXiliang LuYueyong ShiQinglong YangPublished in: CoRR (2018)
Keyphrases
- convergence rate
- global convergence
- optimization algorithm
- gradient method
- optimal solution
- dynamic programming
- convergence speed
- step size
- learning algorithm
- k means
- faster convergence
- competitive ratio
- objective function
- optimization method
- learning rate
- primal dual
- genetic algorithm
- line search
- lp norm
- cost function
- multi objective
- levenberg marquardt
- numerical stability
- number of iterations required
- faster convergence rate