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A cutting-plane method with internal iteration points for the general convex programming problem
I. Ya. Zabotin, K. E. Kazaeva, O. N. Shul'gina Kazan Federal University, Kazan, 420008 Russia
Abstract:
A cutting method for solving the problem of convex programming was proposed. The method calculates iteration points based on approximation by polyhedral sets of the constraint region and the epigraph of the objective function. Its distinguishing feature is that the main sequence of approximations is constructed within the admissible region. At each step, it is also possible to assess how close the current value of the function is to the optimal value. The convergence of the method was proved. A few of its implementations were outlined.
Keywords:
convex programming, conditional minimization, optimal value, set approximation, function epigraph, iteration point, sequence of approximations, cutting hyperplane, convergence.
Received: 20.07.2023 Accepted: 04.09.2023
Citation:
I. Ya. Zabotin, K. E. Kazaeva, O. N. Shul'gina, “A cutting-plane method with internal iteration points for the general convex programming problem”, Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, 165, no. 3, Kazan University, Kazan, 2023, 208–218
Linking options:
https://www.mathnet.ru/eng/uzku1634 https://www.mathnet.ru/eng/uzku/v165/i3/p208
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Abstract page: | 44 | Full-text PDF : | 23 | References: | 12 |
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