Locally Lipschitz stability of solutions to a parametric parabolic optimal control problem with mixed pointwise constraints

Người báo cáo: Huỳnh Khanh

Thời gian: 9am-11am sáng Thứ Ba ngày 16/01/2024

Địa điểm: Phòng 612, nhà A6

Tóm tắt: A class of parametric optimal control problems governed by semilinear parabolic equations with mixed pointwise constraints is investigated in this paper. The perturbations may appear in both the objective functional, in the state equation and in mixed pointwise constraints. By analyzing regularity and establishing the stability condition of Lagrange multipliers we prove that, if the strictly second-order sufficient condition for the unperturbed problem is valid, then the solutions of the problems as well as the associated Lagrange multipliers are Lipschitz continuous functions of the parameter.

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Xuất bản mới
La Văn Thịnh, Hoàng Thế Tuấn, On the Mittag–Leffler Stability of Mixed-Order Fractional Homogeneous Cooperative Delay Systems, Vietnam Journal of Mathematics, Volume 54, pages 773–789 (2026)
Đỗ Minh Thắng, Sonja Hannibal, Arnulf Jentzen, Non-convergence to global minimizers in data driven supervised deep learning: Adam and stochastic gradient descent optimization provably fail to converge to global minimizers in the training of deep neural networks with ReLU activation, Journal of Mathematical Analysis and Applications, 564 (2026) 130724