Abstract
A regularization method based on the two-step projection-gradient method along with the penalty function method is suggested for solving the minimization problem with incorrectly given assumed data. The sufficient conditions of convergence are presented. A minimization problem is considered with a given convex closed set from some Hilbert space H and some functions defined and Fresche differentiable over H. The problem is unstable to disturbances of the assumed data and it should be solved using the regularization methods.
Original language | English (US) |
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Pages (from-to) | 35-42 |
Number of pages | 8 |
Journal | Vestnik Moskovskogo Universiteta. Ser. 15 Vychislitel'naya Matematika i Kibernetika |
Issue number | 1 |
State | Published - Jan 1996 |
ASJC Scopus subject areas
- Hardware and Architecture
- Software
- Applied Mathematics