Regularized proximal method for minimization problems with inaccurate initial data
The authors propose and investigate a regularization method that combines the proximal method and the penalty-function method for solving problems of minimization with inaccurate initial data and inaccurate implementation of the method. Sufficient conditions for convergence are given and the regularizing operator is constructed.
scientific article; zbMATH DE number 468705