fastIsoboles_iteration0: Initialize the grid refinement algorithm

In IntiQuan/populationIsoboles: Calculate isoboles efficiently

Description

In iteration 0, a dummy-grid and a dummy-path object are returned which will be used in iteration 1 to calculate objvalue values. The algorithm evaluates only objvalue points which are close to the path of the isobole and haven't yet been evaluated. The dummy path contains all grid points ensuring that all points of the grid in iteration 1 lie close to the path. The dummy grid contains contains all grid points but evaluatedCum is set to zero, therefore the points will be evaluated next time.

Usage

fastIsoboles_iteration0(
  gridmin,
  gridmax,
  gridlen_i = (gridmax - gridmin)/2,
  i = 0
)

Arguments

gridmin, gridmax	as in fastIsoboles_iteration
gridlen_i, i	as in fastIsoboles_iteration. gridlen_i and i are only there for backward compatibility

Value

list with grid and path as explained in the Arguments-section of fastIsoboles_iteration

Author(s)

Daniel Lill, IntiQuan [e-mail]

See Also

Other Grid refinement functions for isoboles: arrange_isobole_internal(), fastIsoboles_iteration(), fastIsoboles(), get_gridlens(), get_isobole_path()

Examples

populationIsoboles:::fastIsoboles_iteration0(c(x = 0,y = 0), c(x = 16,y = 16), c(x = 8,y = 8))

IntiQuan/populationIsoboles documentation built on Jan. 13, 2022, 8:29 p.m.