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Information × Registration Number 0221U101230, 0119U101608 , R & D reports Title New methods for wellposedness investigation and solving of discrete optimization problems, variational inequalities and their applications popup.stage_title Head Sergienko Ivan V., Доктор фізико-математичних наук Registration Date 18-04-2021 Organization Department for special training National academy of science of Ukraine at Kiev University popup.description2  Additive algorithm for solving of vector discrete optimization problems with Boole variables has been developed and was grounded. Method of solving of the optimistic version of two-level problems of discrete optimization with integer variables in lower-level problems is built and explored. A new proximal-gradient method is proposed for the two-level convex minimization problem in Hilbert space. New methods for solving two-level equilibrium problems in Hadamard spaces are proposed. The convergence theorems are proved. A new primal-dual algorithm for two-level convex programming problems with quadratic functions in internal problems is proposed. The algorithm of optimization of fluid flow in porous environment is built. Product Description popup.authors Klyushyn Dmitro A. Lebedeva Tatyana T. Lyashko Sergei I. Manovitska Darya O. Semenov Volodimir B Semenova Natakya V. popup.nrat_date 2021-01-18 Close