An inexact regularized proximal Newton method for nonconvex and nonsmooth optimization.
Ruyu LiuShaohua PanYuqia WuXiaoqi YangPublished in: Comput. Optim. Appl. (2024)
Keyphrases
- newton method
- globally convergent
- regularized least squares
- quasi newton
- nonlinear programming
- optimality conditions
- variational inequalities
- convergence analysis
- superlinear convergence
- quadratic programming
- global convergence
- optimization problems
- linear equations
- global optimization
- image restoration and reconstruction
- linear svm
- optimization methods
- autocalibration
- sparse representation
- linear programming
- reproducing kernel hilbert space
- semidefinite programming
- objective function
- nonnegative matrix factorization
- line search
- training samples