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
This is a wave equation solver in spherical symmetry that demonstrates the use of parity-limited Chebyshev polynomials
Stokes flow in doubly periodic, partially or fully confined geometries.
Coursework for the UW AMATH 581 Scientific Computing class
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
Supplemental materials to a scientific paper on the computation of Quasinormal Modes of Morris-Thorne wormholes
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
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.
The algorithm which we present here tries to produce stable bipartitions where dynamics is cast on the network and we measure the effectiveness of the algorithm by comparing it with existing static graph partitioning algorithms like spectral bisection and Kernighan-lin
Supplemental materials to a scientific paper on the computation of Quasinormal Modes in a non-commutative model for Schwarzschild black holes
Additional documentation for SPHEREPACK
Numerical approximation of excited state wavefunctions and energies using supersymmetry.
Numerical solution of the nonlinear Schrödinger equation with a quadratic nonlinearity.
Implements the continuous Galerkin spectral element method to solve the Schrödinger equation
Spectral clustering, RBF kernels, and hyperparameter optimization on non-radial data are used to cluster data that gives traditional k-means difficulty.
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