A flexible framework for solving PDEs with modern spectral methods.
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Updated
May 10, 2024 - Python
A flexible framework for solving PDEs with modern spectral methods.
High performance computational platform in Python for the spectral Galerkin method
[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver
Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains
Implementation of Directional Graph Networks in PyTorch and DGL
Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
Density Functional Theory with plane waves basis, applied on a 'quantum dot'. Volumetric visualization of orbitals with VTK
matrix square root and its gradient
Rust Scientific Libary. ODE and DAE (Runge-Kutta) solvers. Special functions (Bessel, Elliptic, Beta, Gamma, Erf). Linear algebra. Sparse solvers (MUMPS, UMFPACK). Probability distributions. Tensor calculus.
Two solutions, written in MATLAB, for solving the viscous Burger's equation. They are both spectral methods: the first is a Fourier Galerkin method, and the second is Collocation on the Tchebyshev-Gauß-Lobatto points.
Direct Numerical Simulation of Fluid Flow with IBM Using Python
Solving Poisson equation using a spectral method, also introducing VTK which will probably be used for other projects
Fast and flexible two- and three-point correlation analysis for time series using spectral methods.
Radio-wave transfer matrix model for glacier ice
ManifoldEM Python suite
3D Spectral boundary integral solver for cell-scale blood flow
[WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang
Fast superresolution frequency detection using MUSIC algorithm
A Python-Based Elliptic Solver in Axisymmetry
Tutorial introduction to economic network analysis and graph clustering in python with networkx
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