A flexible framework for solving PDEs with modern spectral methods.
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Updated
Jun 30, 2024 - Python
A flexible framework for solving PDEs with modern spectral methods.
High performance computational platform in Python for the spectral Galerkin method
This is my Code for my Year 3 Bsc Mathematics Project at Durham University. This project is focussed on using spectral methods and the quaslinearization method to solve non-linear ODEs. I developed a linear ODE solver that can use a Chebyshev / Laguerre / Even Chebsyev or Trigonometric basis.
📈 Common API (C++ and Python) for Fast Fourier Transform HPC libraries (publish-only mirror)
Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data
Radio-wave transfer matrix model for glacier ice
End-semester project for a course on nonlinear PDEs.
Pseudospectral Kolmogorov Flow Solver
[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
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks
Comparison of various numerical methods for computational fluid dynamics
Working with numerical grids made easy.
Post-processing toolbox dedicated to the DNS solver POUSSINS
A Python program that computes the electronic densities and binding energies for isolated neutral atoms from an orbital-free density functional scheme based on polymer self-consistent field theory.
Runge-Kutta adaptive-step solvers for nonlinear PDEs. Solvers include both exponential time differencing and integrating factor methods.
PySpectral is a Python package for solving the partial differential equation (PDE) of Burgers' equation in its deterministic and stochastic version.
Investigating the effect of surfactants on superhydrophobic surfaces using spectral methods as a UROP project with Dr Michael Mayer
Software implementation for paper Heuristic Analysis of Manifolds from Simulated Cryo-EM Ensemble Data
Python version of "Spectral Methods for Matlab" M-files
[NeurIPS'21] Shape As Points: A Differentiable Poisson Solver
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