[Experimental]

Calculates the sum squared difference between log(N) in current and previous state. This function can be used in projectToSteady() to decide when sufficient convergence to steady state has been achieved.

distanceSSLogN(params, current, previous)

Arguments

params

MizerParams

current

A named list with entries n, n_pp and n_other describing the current state

previous

A named list with entries n, n_pp and n_other describing the previous state

Value

The sum of squares of the difference in the logs of the (nonzero) fish abundances n: sum((log(current$n) - log(previous$n))^2)

See also

Other distance functions: distanceMaxRelRDI()