In f0nzie/rODE: Ordinary Differential Equation (ODE) Solvers Written in R Using S4 Classes

setClass("KeplerEnergy", slots = c(
    GM = "numeric",
    odeSolver = "Verlet",
    counter = "numeric"
    ),
    contains = c("ODE")
)

setMethod("initialize", "KeplerEnergy", function(.Object, ...) {
    .Object@GM <- 4 * pi * pi                # gravitation constant times combined mass
    .Object@state <- vector("numeric", 5)  # x, vx, y, vy, t
    .Object@odeSolver <- Verlet(.Object)
    .Object@counter <- 0
    return(.Object)
})

setMethod("doStep", "KeplerEnergy", function(object, ...) {
    object@odeSolver <- step(object@odeSolver)
    object@state <- object@odeSolver@ode@state
    object
})

setMethod("getTime", "KeplerEnergy", function(object, ...) {
    return(object@state[5])
})

setMethod("getEnergy", "KeplerEnergy", function(object, ...) {
    ke <- 0.5 * (object@state[2] * object@state[2] +
                     object@state[4] * object@state[4])
    pe <- -object@GM / sqrt(object@state[1] * object@state[1] +
                                object@state[3] * object@state[3])
    return(pe+ke)
})


setMethod("init", "KeplerEnergy", function(object, initState, ...) {
    object@state <- initState
    object@odeSolver <- init(object@odeSolver, getStepSize(object@odeSolver))
    object@counter <- 0
    object
})


setMethod("getRate", "KeplerEnergy", function(object, state, ...) {
    # Computes the rate using the given state.
    r2 <- state[1] * state[1] + state[3] * state[3]  # distance squared
    r3 <- r2 * sqrt(r2)   # distance cubed
    object@rate[1] <- state[2]
    object@rate[2] <- (- object@GM * state[1]) / r3
    object@rate[3] <- state[4]
    object@rate[4] <- (- object@GM * state[3]) / r3
    object@rate[5] <- 1   # time derivative

    object@counter <- object@counter + 1
    object@rate

})


setMethod("getState", "KeplerEnergy", function(object, ...) {
    # Gets the state variables.
    return(object@state)
})

# constructor
KeplerEnergy <- function() {
    kepler <- new("KeplerEnergy")
    return(kepler)
}




# KeplerEnergyApp
#
# Demostration of the use of ODE solver RK45
#
#
KeplerEnergyApp <- function(verbose = FALSE) {

    x  <- 1
    vx <- 0
    y  <- 0
    vy <- 2 * pi
    dt <- 0.01
    tol <- 1e-3

    particle <- KeplerEnergy()

    particle <- init(particle, c(x, vx, y, vy, 0))

    odeSolver <- Verlet(particle)
    odeSolver <- init(odeSolver, dt)

    particle@odeSolver <- odeSolver

    initialEnergy <- getEnergy(particle)
    i <- 0
    while (getTime(particle) <= 1.20) {
        particle <- doStep(particle)
        energy <- getEnergy(particle)
        if (verbose)
            cat(sprintf("time=%12f energy=%12f state[5]=%12f \n",
                        getTime(particle),
                    energy, particle@state[5]))
        i <- i + 1
    }
}

KeplerEnergyApp()

f0nzie/rODE documentation built on May 14, 2019, 10:34 a.m.