Skip to content
#

pde

Star

Here are 150 public repositories matching this topic...

Language: All
Filter by language
All 150 MATLAB 24 C++ 23 Python 23 Jupyter Notebook 15 Julia 13 Java 11 Processing 9 C 6 HTML 4 Haskell 3
Sort: Best match
Sort options
Best match Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

SciML / DifferentialEquations.jl

Star

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components

python r julia ode dde partial-differential-equations dynamical-systems differential-equations differentialequations sde pde dae spde stochastic-differential-equations delay-differential-equations stochastic-processes differential-algebraic-equations scientific-machine-learning neural-differential-equations sciml
  • Updated Aug 16, 2020
  • Julia

SciML / ModelingToolkit.jl

Star

A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

computer-algebra julia ode symbolic dde differential-equations ordinary-differential-equations sde pde dae stochastic-differential-equations delay-differential-equations symbolic-computation neural-ode scientific-machine-learning neural-differential-equations sciml symbolic-numerics
  • Updated Oct 5, 2020
  • Julia

AMReX-Astro / Castro

Star
Open

Recommend a new default value of gravity.abs_tol

maxpkatz
maxpkatz commented Sep 26, 2017

The Poisson solve absolute tolerance sets the accuracy of the Poisson solve. Given the value of abs_tol, the error level targeted in the Poisson solve is abs_tol * 4 * pi * G * rho_max, where rho_max is the maximum density on the domain. For Cartesian simulations the default value is 1.e-11, and for non-Cartesian the default value is 1.e-10.

At high resolution, and/or for complicated mass distr

Read more
good first issue gravity help wanted study

SciML / DiffEqBase.jl

Star

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

ode dde partial-differential-equations differential-equations ordinary-differential-equations differentialequations sde pde dae stochastic-differential-equations delay-differential-equations differential-algebraic-equations neural-ode scientific-machine-learning neural-differential-equations sciml
  • Updated Oct 4, 2020
  • Julia

Improve this page

Add a description, image, and links to the pde 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 pde topic, visit your repo's landing page and select "manage topics."

Learn more

You can’t perform that action at this time.