high-order-methods

Here are 8 public repositories matching this topic...

jloveric / high-order-layers-torch

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…

grid pytorch deeplearning spline fourier-series fluid-dynamics kan chebyshev-polynomials lagrange-polynomial-interpolation high-order-methods discontinuous pytorch-lightning piecewise-polynomial implicit-representions sparse-network hp-refinement

Updated Jun 24, 2024
Python

OPTAMI / OPTAMI

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This package is dedicated to high-order optimization methods. All the methods can be used similarly to standard PyTorch optimizers.

newton-method high-order-methods second-order-optimization pytorch-optimizers damped-netwon

Updated Nov 28, 2024
Python

tristanmontoya / GHOST

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GHOST: Generalized High-Order Solver Toolbox

conservation-laws discontinuous-galerkin high-order-methods flux-reconstruction

Updated Aug 10, 2022
Python

jloveric / high-order-implicit-representation

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Implicit representation of various things using PyTorch and high order layers

neural-network pytorch kan lagrange-interpolation high-order-methods piecewise-polynomial implicit-representions fourier-series-network discontinuous-polynomial-network piecewise-polynomial-network coordinate-mlp

Updated May 29, 2024
Python

ElsevierSoftwareX / SOFTX-D-21-00020

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A lightweight discontinuous Galerkin code for teaching and prototyping. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S235271102200005X

python high-order-methods discontinuous-galerkin-method