Fatemeh Pooladi, Kharazmi University: Comparison of three suitable approximation spaces for the interpolation problem
Overview
The event has passed
27 Oct 2025, 15:1527 Oct 2025, 16:00
MV:L14, Chalmers tvärgata 3
Language:English
Abstract: Due to the flexibility of applying a meshless method to solving interpolation problems, the radial basis function (RBF) approximation method has been popular for over a decade. In solving interpolation problems by meshless methods, the coefficient matrix plays an important role in controlling the stability and accuracy of the methods. In this study, three different bases to make this coefficient matrix were compared.
Larisa Beilina
- Full Professor, Applied Mathematics and Statistics, Mathematical Sciences
Larisa Beilina
- Full Professor, Applied Mathematics and Statistics, Mathematical Sciences