# +++++++++++++++++++++++++++++++++++++++++++++++++ example: PendulumEulerApp.R
# Pendulum simulation with the Euler ODE solver
# Notice how Euler is not applicable in this case as it diverges very quickly
# even when it is using a very small delta-t ODE
importFromExamples("PendulumEuler.R") # source the class
PendulumEulerApp <- function(verbose = FALSE) {
# initial values
theta <- 0.2
thetaDot <- 0
dt <- 0.01
pendulum <- PendulumEuler()
pendulum@state[3] <- 0 # set time to zero, t = 0
pendulum <- setState(pendulum, theta, thetaDot)
stepSize <- dt
pendulum <- setStepSize(pendulum, stepSize)
pendulum@odeSolver <- setStepSize(pendulum@odeSolver, dt) # set new step size
rowvec <- vector("list")
i <- 1
while (getState(pendulum)[3] <= 50) {
rowvec[[i]] <- list(t = getState(pendulum)[3],
theta = getState(pendulum)[1],
thetaDot = getState(pendulum)[2])
pendulum <- step(pendulum)
i <- i + 1
}
DT <- data.table::rbindlist(rowvec)
return(DT)
}
solution <- PendulumEulerApp()
plot(solution)
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