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Shape Differentiability of Lagrangians and Application to Stokes Problem Научная публикация

Журнал SIAM Journal on Control and Optimization
ISSN: 0363-0129
Вых. Данные Год: 2018, Том: 56, Номер: 5, Страницы: 3668-3684 Страниц : 17 DOI: 10.1137/17m1125327
Ключевые слова Constrained minimization; Lagrangian; Primal and dual cone; Primal-dual minimax problem; Shape derivative; Stokes problem; Velocity method
Авторы Kovtunenko V.A. 1,2 , Ohtsuka Kohji 3
Организации
1 Institute for Mathematics and Scientific Computing, Karl-Franzens University of Graz
2 Lavrent’ev Institute of Hydrodynamics, Siberian Division of Russian Academy of Sciences
3 Faculty of Information Design and Sociology, Hiroshima Kokusai Gakuin University

Реферат: A class of convex constrained minimization problems over polyhedral cones for geometry-dependent quadratic objective functions is considered in a functional analysis framework. Shape differentiability of the primal minimization problem needs a bijective property for mapping of the primal cone. This restrictive assumption is relaxed to bijection of the dual cone within the Lagrangian formulation as a primal-dual minimax problem. In this paper, we give results on primal-dual shape sensitivity analysis that extends the class of shape-differentiable problems supported by an explicit formula of the shape derivative. We apply the results to the Stokes problem under mixed Dirichlet—Neumann boundary conditions subject to the divergence-free constraint.
Библиографическая ссылка: Kovtunenko V.A. , Ohtsuka K.
Shape Differentiability of Lagrangians and Application to Stokes Problem
SIAM Journal on Control and Optimization. 2018. V.56. N5. P.3668-3684. DOI: 10.1137/17m1125327 WOS Scopus РИНЦ OpenAlex
Идентификаторы БД:
Web of science: WOS:000448810200022
Scopus: 2-s2.0-85056107876
РИНЦ: 37218135
OpenAlex: W2886977095
Цитирование в БД:
БД Цитирований
Scopus 14
OpenAlex 16
РИНЦ 15
Web of science 13
Альметрики: