Monotonic complementary problem

Người báo cáo: Đỗ Thị Thùy

Thời gian: 9h00 đến 10h00 sáng thứ Tư ngày 15.10.2025.

Địa điểm: Phòng 508 nhà A6 Viện Toán học

Tóm tắt: We study a general class of nonlinear complementarity problems including the subclass of polynomial ones. As a solution method, we propose an algorithm based on branch-reduce-and-bound paradigm. In contrast to most existing solution methods, our algorithm works under very general conditions. Computational experiments on a benchmark of complementarity problems show the practicability of our solution approach.
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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