Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update attractor_mapping_recurrences.jl #172

Merged
merged 1 commit into from
Mar 17, 2025
Merged

Update attractor_mapping_recurrences.jl #172

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 2 additions & 1 deletion src/mapping/recurrences/attractor_mapping_recurrences.jl
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -46,12 +46,13 @@ want to search for attractors in a lower dimensional subspace.
For continuous systems, an automatic value is calculated using
[`automatic_Δt_basins`](@ref). For very fine grids, this can become very small,
much smaller than the typical integrator internal step size in case of adaptive
integrators. In such cases, use `stop_at_dt = true`.
integrators. In such cases, use `stop_at_Δt = true`.
* `stop_at_Δt = false`: Only used if the input dynamical system is `CoupledODEs`.
It is given as a third input to `step!`. Value `true` is useful in (1) very fine grids, and (2)
if some of the attractors are limit cycles. We have noticed that in this case the
integrator timestep becomes commensurate with the limit cycle period, leading to
incorrectly counting the limit cycle as more than one attractor.
`stop_at_Δt = true` should also be used if you want an accurate estimate of [`convergence_time`](@ref).

### Finite state machine configuration

Expand Down