Global convergence of a coderivative-based regularized Newton method with damping for nonsmooth optimization
A globally convergent regularized Newton method with positive definite regularization for solving nonsmooth optimization problems that replaces the identity matrix in traditional algorithms with a general positive-definite symmetric matrix to regularize the generalized Hessian.
Wei Ouyang, Zhenghong Tan, JiangxingZhu
· 0 citations