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SciML / SteadyStateDiffEq.jl

Solvers for steady states in scientific machine learning (SciML)

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SteadyStateDiffEq.jl

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SteadyStateDiffEq.jl is a component package in the DifferentialEquations ecosystem. It holds the steady state solvers for differential equations. While completely independent and usable on its own, users interested in using this functionality should check out DifferentialEquations.jl.

Breaking Changes in v2

  1. NLsolve.jl dependency has been dropped. SSRootfind requires a nonlinear solver to be specified.
  2. DynamicSS no longer stores abstol and reltol. To use separate tolerances for the odesolve and the termination, specify odesolve_kwargs in solve.
  3. The deprecated termination conditions are dropped, see NonlinearSolve.jl Docs for details on this.

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Solvers for steady states in scientific machine learning (SciML)

daeddedifferential-equationsodescientific-machine-learningscimlsdesteady-state

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