Total number
Full text
Total number
Full text
Number of local repositories
Full text
0119U101608,
(
0220U100736
0221U101230
0222U000966
)
New methods for wellposedness investigation and solving of discrete optimization problems, variational inequalities and their applications
Serhiienko Ivan V., Доктор фізико-математичних наук
24-04-2019
Department for special training National academy of science of Ukraine at Kiev University
The goal of the project is to create a mathematical tools for qualitative wellposedness characteristics obtaining, illposed models identifying, building effective methods for solving various classes of discrete optimization problems under conditions of multicriteriality, information uncertainty, and possible input data perturbations; development, proving and application of new methods, effective algorithms for solving of variational inequalities, multilevel variational problems.
2024-12-10
Updated: 2025-12-08
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