Extension Default
Index
- CTFlowsODE.__abstol
- CTFlowsODE.__alg
- CTFlowsODE.__callback
- CTFlowsODE.__internalnorm
- CTFlowsODE.__reltol
- CTFlowsODE.__saveat
- CTFlowsODE.__thevariable
- CTFlowsODE.__thevariable
- CTFlowsODE.__thevariable
- CTFlowsODE.__tstops
In the examples in the documentation below, the methods are not prefixed by the module name even if they are private.
julia> using CTFlows
julia> x = 1
julia> private_fun(x) # throw an errormust be replaced by
julia> using CTFlows
julia> x = 1
julia> CTFlows.private_fun(x)However, if the method is reexported by another package, then, there is no need of prefixing.
julia> module OptimalControl
           import CTFlows: private_fun
           export private_fun
       end
julia> using OptimalControl
julia> x = 1
julia> private_fun(x)Documentation
CTFlowsODE.__abstol — Method__abstol() -> Float64
Default absolute tolerance for ODE solvers.
See abstol from DifferentialEquations.
CTFlowsODE.__alg — Method__alg(
) -> Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}
Default algorithm for ODE solvers.
See alg from DifferentialEquations.
CTFlowsODE.__callback — Method__callback()
See callback from DifferentialEquations.
CTFlowsODE.__internalnorm — Method__internalnorm() -> CTFlowsODE.var"#1#2"
Default internal norm.
CTFlowsODE.__reltol — Method__reltol() -> Float64
Default relative tolerance for ODE solvers.
See reltol from DifferentialEquations.
CTFlowsODE.__saveat — Method__saveat() -> Vector{Any}
See saveat from DifferentialEquations.
CTFlowsODE.__thevariable — Method__thevariable(t0, x0, p0, tf, ocp) -> Any
Default variable from ocp.
CTFlowsODE.__thevariable — Method__thevariable(x0, p0) -> Vector
Default variable x0, p0.
CTFlowsODE.__thevariable — Method__thevariable(x0) -> Vector
Default variable from x0.
CTFlowsODE.__tstops — Method__tstops() -> Vector{Real}
See tstops from DifferentialEquations.