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

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