Registration Number
0221U101230,
0119U101608
, R & D reports
Title
New methods for wellposedness investigation and solving of discrete optimization problems, variational inequalities and their applications
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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
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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
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Klyushyn Dmitro A.
Lebedeva Tatyana T.
Lyashko Sergei I.
Manovitska Darya O.
Semenov Volodimir B
Semenova Natakya V.
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2021-01-18
