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A Julia package for critical transitions in dynamical systems with time-dependent forcing

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Work on #75, #42 and #22

Add section on the algoritme hints for solve the sde Using sol=solve(wave_sde,alg_hints = [:additive,:stiff]) it returned sol.alg is SKenCarp which is much faster. This is a very usefull functionality.

Bumps [julia-actions/cache](https://github.com/julia-actions/cache) from 1 to 2. Release notes Sourced from julia-actions/cache's releases. v2.0.0 Breaking Changes ⚠️ v2.0.0 requires node20. This is a breaking change, because node20 does not support the...

https://github.com/JuliaDocs/Changelog.jl

add iip or oop kwargs to `simulate` and `relax`

- [ ] try out [Literate.jl](https://github.com/fredrikekre/Literate.jl) - [ ] add example folder to docs

documentation

As we would like to mimic the `DynamicalSystems` interface, we should transition to use `SDEIntegrator` and workout a similar framework as [continuous_time_ode.jl#L26-L66](https://github.com/JuliaDynamics/DynamicalSystemsBase.jl/blob/v3.7.1/src/core_systems/continuous_time_ode.jl#L26-L66). This will be a big overhaul of the...

Now the user is expected construct their deterministic function in a way that it takes in parameter of the form `[dp, sp]` with `dp` the deterministic vector of parameters and...

good first issue
question

https://link.springer.com/article/10.1007/s10955-022-02983-7 https://doi.org/10.1007/s00023-016-0507-4