Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Kan: Kolmogorov-arnold networks
Inspired by the Kolmogorov-Arnold representation theorem, we propose Kolmogorov-Arnold
Networks (KANs) as promising alternatives to Multi-Layer Perceptrons (MLPs). While MLPs …
Networks (KANs) as promising alternatives to Multi-Layer Perceptrons (MLPs). While MLPs …
A unified framework for multiscale spectral generalized FEMs and low-rank approximations to multiscale PDEs
C Ma - arxiv preprint arxiv:2311.08761, 2023 - arxiv.org
This work presents an abstract framework for the design, implementation, and analysis of the
multiscale spectral generalized finite element method (MS-GFEM), a particular numerical …
multiscale spectral generalized finite element method (MS-GFEM), a particular numerical …
Wavelet-Based Edge Multiscale Finite Element Methods for Singularly Perturbed Convection-Diffusion Equations
We propose a novel efficient and robust wavelet-based edge multiscale finite element
method (WEMsFEM) motivated by [S. Fu, E. Chung, and G. Li, J. Comput. Phys., 396 (2019) …
method (WEMsFEM) motivated by [S. Fu, E. Chung, and G. Li, J. Comput. Phys., 396 (2019) …
On optimal bases for multiscale PDEs and Bayesian homogenization
PDE solutions are numerically represented by basis functions. Classical methods employ
pre-defined bases that encode minimum desired PDE properties, which naturally cause …
pre-defined bases that encode minimum desired PDE properties, which naturally cause …
[Књига][B] On Multiscale and Statistical Numerical Methods for PDEs and Inverse Problems
Y Chen - 2023 - search.proquest.com
This thesis is about numerical methods for scientific computing and scientific machine
learning, with a focus on solving partial differential equations (PDEs) and inverse problems …
learning, with a focus on solving partial differential equations (PDEs) and inverse problems …