An approach to adaptive refinement for the RBF-FD method for 2D elliptic equations

Người báo cáo: Trịnh Minh Đức

Thời gian: 9h00 đến 11h00 sáng thứ 4 ngày 12/4/2023.

Địa điểm: Phòng 302 nhà A5 Viện Toán học

Tóm tắt: In this talk, We propose an adaptive meshless discretization method to solve the 2D elliptic equations using the radial basis function (RBF) interpolation. To enhance the efficiency of the method, we introduce the error indicator threshold for the meshless adaptive refinement.

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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