Pde Libraries

6 Components & Libraries

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Pde Libraries

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

This is a suite for numerically solving differential equations written in Julia and available for use in Julia, Python, and R. The purpose of this package is to supply efficient Julia implementations…

A Django application to manage tickets for an internal helpdesk. Formerly known as Jutda Helpdesk.

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Note that when running the tutorials, the packages are not automatically added. Thus you will need to add the packages manually or use the internal Project/Manifest tomls to instantiate the correct p…

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

SciMLBenchmarks.jl holds webpages, pdfs, and notebooks showing the benchmarks for the SciML Scientific Machine Learning Software ecosystem, including: The SciML Bench suite is made to be a comprehens…

Finite volume discretization tools for Python.

Creating finite volume equation systems with ease. pyfvm provides everything that is needed for setting up finite volume equation systems. The user needs to specify the finite volume formulation in a…

Finite volume discretization tools for Python.

Creating finite volume equation systems with ease. pyfvm provides everything that is needed for setting up finite volume equation systems.The user needs to specify the finite volume formulation in a …

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