dust_ode_control | R Documentation |
Create a control object for controlling the adaptive stepper for systems of ordinary differential equations (ODEs). The returned object can be passed into a continuous-time dust model on initialisation.
dust_ode_control(
max_steps = NULL,
atol = NULL,
rtol = NULL,
step_size_min = NULL,
step_size_max = NULL,
debug_record_step_times = NULL
)
max_steps |
Maxmimum number of steps to take. If the integration attempts to take more steps that this, it will throw an error, stopping the integration. |
atol |
The per-step absolute tolerance. |
rtol |
The per-step relative tolerance. The total accuracy will be less than this. |
step_size_min |
The minimum step size. The actual minimum
used will be the largest of the absolute value of this
|
step_size_max |
The largest step size. By default there is no maximum step size (Inf) so the solver can take as large a step as it wants to. If you have short-lived fluctuations in your rhs that the solver may skip over by accident, then specify a smaller maximum step size here. |
debug_record_step_times |
Logical, indicating if we should record
the steps taken. This information will be available as part of
the |
A named list of class "dust_ode_control"
# We include an example of logistic growth with the package
gen <- dust::dust_example("logistic")
# Create a control object, then pass it through as the ode_control
# parameter to the constructor:
ctrl <- dust::dust_ode_control(atol = 1e-3, rtol = 1e-3)
mod <- gen$new(list(r = 0.1, K = 100), 0, 1, ode_control = ctrl)
# When the model runs, the control parameters passed in to the
# constructor are used in the solution
mod$run(10)
# The full set of control parameters can be extracted:
mod$ode_control()
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