estimateDistances: Estimate distances between oscillators

In surmann/ODEnetwork: Network of Differential Equations

Description

Estimates the distances between the oscillators of a ODEnetwork from an equilibrium state.

Usage

estimateDistances(
  odenet,
  equilibrium,
  distGround = c("combined", "individual", "fixed", c("A", "B", "123", "A")),
  optim.control = list()
)

Arguments

odenet	[ODEnetwork] List of class ODEnetwork.
equilibrium	[numeric(n)] The desired equilibrium positions of the oscillators.
distGround	[character(1)] or [character(n)] "combined" estimates one value for all distances of the oscillators to the ground. Optimisation starts from median(equilibrium). "individual" estimates individual distance values for every oscillator. Optimisation starts from equilibrium. "fixed" no estimation of the distances to the ground. Set to diagonal of distances matrix in ODEnetwork. character(n) specifies groups of oscillators which distances to the ground are estimated by the same value. Optimisation starts from median(equilibrium) of the specified groups. Default is "combined"
optim.control	[list()] A list of control parameters for optim. See optim.

Value

an extended list of class ODEnetwork.
Matrix of distances is added or overwritten.

Examples

masses <- c(1, 1)
dampers <- diag(c(1, 1))
springs <- diag(c(1, 1))
springs[1, 2] <- 1
equilibrium <- c(1/3, 5/3)
odenet <- ODEnetwork(masses, dampers, springs)
estimateDistances(odenet, equilibrium)$distances
estimateDistances(odenet, equilibrium, distGround="individual")$distances

surmann/ODEnetwork documentation built on April 6, 2020, 8:53 p.m.