Fuchsian Differential Equations: Differential equations characterised by regular singular points, important in the study of complex analysis and the behaviour of D‑finite functions.

MAT1100 – Calculus MAT1110 – Calculus and Linear Algebra MAT1120 – Linear Algebra / MAT1125 – Advanced linear Algebra MAT3360 – Introduction to Partial Differential Equations Teaching 4 hours of ...

Machine learning approaches are available for the fault diagnosis issues of the dual active bridge (DAB) converter. However, influenced by noise and multimodal diagnostic signals, the data-driven ...

In this paper we present a method for solving linear ordinary differential equations (ODE) based on multiquadric (MQ) radial basis function networks (RBFNs). According to the thought of approximation ...

Code associated with the paper: Learning data-driven discretizations for partial differential equations. Yohai Bar-Sinai, Stephan Hoyer, Jason Hickey, Michael P. Brenner. Proceedings of the National ...

DP-GST is a diffusion model leveraging Graph Neural Networks (GNNs) as its backbone, designed for solving the Group Steiner Tree (GST) problem under differential privacy constraints. - ShopAI8/DP-GST ...

Ordinary Differential Equations. Introduction to methods for finding solutions to differential equations involving a single, independent variable. Topics include linear equations, exact solutions, ...

For monoids that satisfy a weak cancellation condition, it is shown that the decidability of the existential theory of word equations is preserved under graph products. Furthermore, it is shown that ...