AbstractODESolver-class {rODE} | R Documentation |
Defines the basic methods for all the ODE solvers.
AbstractODESolver generic
AbstractODESolver constructor missing
AbstractODESolver constructor ODE. Uses this constructor when ODE object is passed
AbstractODESolver(ode, ...) ## S4 method for signature 'AbstractODESolver' step(object, ...) ## S4 method for signature 'AbstractODESolver' getODE(object, ...) ## S4 method for signature 'AbstractODESolver' setStepSize(object, stepSize, ...) ## S4 method for signature 'AbstractODESolver' init(object, stepSize, ...) ## S4 replacement method for signature 'AbstractODESolver' init(object, ...) <- value ## S4 method for signature 'AbstractODESolver' getStepSize(object, ...) ## S4 method for signature 'missing' AbstractODESolver(ode, ...) ## S4 method for signature 'ODE' AbstractODESolver(ode, ...)
ode |
an ODE object |
... |
additional parameters |
object |
a class object |
stepSize |
the size of the step |
value |
the step size value |
Inherits from: ODESolver class
# This is how we start defining a new ODE solver: Euler .Euler <- setClass("Euler", # Euler solver very simple; no slots contains = c("AbstractODESolver")) # Here we define the ODE solver Verlet .Verlet <- setClass("Verlet", slots = c( rate1 = "numeric", # Verlet calculates two rates rate2 = "numeric", rateCounter = "numeric"), contains = c("AbstractODESolver")) # This is the definition of the ODE solver Runge-Kutta 4 .RK4 <- setClass("RK4", slots = c( # On the other hand RK4 uses 4 rates rate1 = "numeric", rate2 = "numeric", rate3 = "numeric", rate4 = "numeric", estimated_state = "numeric"), # and estimates another state contains = c("AbstractODESolver"))