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 of solvers for various differential equations.

Features

  • Discrete equations (function maps, discrete stochastic (Gillespie/Markov) simulations)
  • Ordinary differential equations (ODEs)
  • Split and Partitioned ODEs (Symplectic integrators, IMEX Methods)
  • Stochastic differential-algebraic equations (SDAEs)
  • Neutral, retarded, and algebraic delay differential equations (NDDEs, RDDEs, and DDAEs)
  • Experimental support for stochastic neutral, retarded, and algebraic delay differential equations (SNDDEs, SRDDEs, and SDDAEs)

Project Samples

Sundials.jl Screenshot 1

Project Activity

See All Activity >

Categories

Data Visualization

License

BSD License

Follow Sundials.jl

Sundials.jl Web Site

Other Useful Business Software
Go from Code to Production URL in Seconds Icon
Go from Code to Production URL in Seconds

Cloud Run deploys apps in any language instantly. Scales to zero. Pay only when code runs.

Skip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Sundials.jl!

Additional Project Details

Programming Language

Julia

Related Categories

Julia Data Visualization Software

Registered

2023-11-21
Report inappropriate content