Colloquiums and Conferences
Professor Yaozong Han was invited to give a lecture
发布时间: 2024-01-05 14:54:00
Topic: AI-Integration based Meshless Computational Methods for Solving Financial Option Pricing and Medical Imaging Problems
Speaker:Yaozong Han
Time:2023-01-04 15:00-16:00
Tencent Meeting ID: 669-2471-6718
Introduction:
In this talk, an overview on global, local, quasi, residue, integration, and AI-based meshless computational methods via the use of radial basis function (RBF) and piece-wise polynomials will be presented. The main idea of the integration-based meshless computational method, Finite Integration Method (FIM), is to transform the original partial differential equation into an equivalent integral equation whose approximation can be sought by standard numerical integration techniques. Due to the advantages of unconditional stability of numerical integration and higher convergence rate of polynomial interpolation, the FIM method can solve boundary value problem under irregular domain with various kinds of stiffness. Recently, the FIM was combined with AI techniques to solve multi-dimensional problems such as 2D financial option pricing and 3D medical imaging.
Organizer
School of Mathematical Sciences, South China Normal University, Machine Learning and Optimization Computing Laboratory
Co-organizers
Guangdong Young Scientists Association