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.
Ouyang Wei, Zhenghong Tan, ‡. JiangxingZhu
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