On the Non-ergodic Convergence Rate of the Directed Nonsmooth Composite Optimization.
Yichuan DongZhuo-Xu CuiYong ZhangShengzhong FengPublished in: PDCAT (2020)
Keyphrases
- convergence rate
- global convergence
- faster convergence rate
- step size
- globally convergent
- convergence speed
- line search
- learning rate
- convergence analysis
- newton method
- optimization algorithm
- gradient method
- markov chain
- mathematical programming
- primal dual
- number of iterations required
- wavelet neural network
- faster convergence
- global search
- mutation operator
- quadratic programming
- numerical stability
- quasi newton
- optimization method
- image restoration and reconstruction
- variational inequalities
- optimization methods