Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Gregory E. Fasshauer"'
Publikováno v:
Energies, Vol 12, Iss 10, p 1833 (2019)
We provide a comprehensive framework for forecasting five minute load using Gaussian processes with a positive definite kernel specifically designed for load forecasts. Gaussian processes are probabilistic, enabling us to draw samples from a posterio
Externí odkaz:
https://doaj.org/article/5dd19b7eda8c4db6b66fc39ae91521ae
Publikováno v:
Applied and Computational Harmonic Analysis. 60:471-488
Publikováno v:
SIAM Journal on Numerical Analysis. 58:2059-2078
Probabilistic numerics aims to study numerical algorithms from a stochastic perspective. This field has recently evolved into a surging interdisciplinary research area (between numerical approximat...
Publikováno v:
Applied Mathematics Letters. 133:108258
Publikováno v:
Computers & Mathematics with Applications. 75:1831-1850
We investigate a novel method for the numerical solution of two-dimensional time-dependent convection–diffusion–reaction equations with nonhomogeneous boundary conditions. We first approximate the equation in space by a stable Gaussian radial bas
These proceedings are based on the international conference Approximation Theory XVI held on May 19–22, 2019 in Nashville, Tennessee. The conference was the sixteenth in a series of meetings in Approximation Theory held at various locations in the
Publikováno v:
Computers & Mathematics with Applications. 72:178-193
Radial basis functions (RBFs) are a powerful tool for approximating the solution of high-dimensional problems. They are often referred to as a meshfree method and can be spectrally accurate. The best accuracy can often be achieved when the so-called
Publikováno v:
2018 International Applied Computational Electromagnetics Society Symposium (ACES).
A high-order, radial basis function-generated finite difference (RBF-FD) method is prepared for simulation of electromagnetic (EM) wave propagation near dielectric and perfectly conducting (PEC) interfaces. The method uses piecewise polynomial suppor
Recent developments have made it possible to overcome grid-based limitations of finite difference (FD) methods by adopting the kernel-based meshless framework using radial basis functions (RBFs). Such an approach provides a meshless implementation an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46be125891e575f3fc1d2e4acbc52208
Publikováno v:
SIAM Journal on Scientific Computing. 37:B570-B590
The estimation of neuronal activity in the human brain from electroencephalography (EEG) and magnetoencephalography (MEG) signals is a typical inverse problem whose solution pro- cess requires an accurate and fast forward solver. In this paper the me