Codes to solve a scalar wave equation using spacetime discretization methods.
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Updated
Mar 19, 2018 - Python
Codes to solve a scalar wave equation using spacetime discretization methods.
A semi-implicit Adams Bashforth/backward‐differentiation time stepping scheme and an exponential Runge-Kutta method applied to a spectral discretization in space of the Korteweg–de Vries equation
Fourier-Hermite Galerkin method applied to the Vlasov-Poisson equation
Applies spectral filters to images, emphasizing and deemphasizing structures at different length scales.
This is a wave equation solver in spherical symmetry that demonstrates the use of parity-limited Chebyshev polynomials
Spectral code to solve a stratified Ekman boundary layer. A canonical setup to study atmospheric turbulence where the influence of the Earth rotation and the nocturnal surface cooling is included.
Using spectral methods to simulate the dynamic of a quantum particle in an EM field
This repo houses some FDM, spectral method and ML codes
2D Spectral boundary integral solver for cell-scale blood flow
Signal space decomposition in MATLAB (MUSIC, Pisarenko, EV, Minimum Norm)
Gaussian simulation solvers for the GeoStats.jl framework
This project was submitted as a requirement for this course. The course was administered in Fall 2019-2020 in Tel-Aviv University - School of Mathematical Sciences
Physically-informed model discovery of systems with nonlinear, rational terms using the SINDy-PI method. Contains functionality for spectral filtering/differentiation.
A simple implementation of the paper "Multitask Spectral Learning of Weighted Automata" by Rabusseau et al.
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.
Post-processing toolbox dedicated to the DNS solver POUSSINS
Spectral differentiation and interpolation methods in Julia
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.
Fluid dynamics equations solvers. Mainly focused around the Navier-Stokes equations
Improved model performance on accuracy and NMI indicator by determining the optimal number of clusters and post-processing.
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