Skip to content
#

chebyshev-polynomials

Here are 14 public repositories matching this topic...

A serial, parallel and vectorised version of PLDM dynamics has been implemented. The serial version uses numba to get speedup of a compiled language. The parallel version uses mpi4py to utilise the multiprocessing capability of HPC clusters. The vectorised version uses a wide variety of GPU libraries (cuda, cupy, pytorch) to highly vectorise PLDM.

  • Updated Jul 15, 2024
  • Python

High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary order. Piecewise implementations could be thought of as a 1d grid (for each neuron) where each grid element is Lagrange polynomial. Both full connected a…

  • Updated Jun 24, 2024
  • Python

Improve this page

Add a description, image, and links to the chebyshev-polynomials topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the chebyshev-polynomials topic, visit your repo's landing page and select "manage topics."

Learn more