Create a guided tour with Givens interpolation

Usage

guided_tour_givens(
  index_f,
  d = 2,
  alpha = 0.5,
  cooling = 0.99,
  max.tries = 25,
  max.i = Inf,
  optim = "search_geodesic",
  n_sample = 100,
  ...
)

Arguments

index_f: the index function to optimise.
d: target dimensionality
alpha: the initial size of the search window, in radians
cooling: the amount the size of the search window should be adjusted by after each step
max.tries: the maximum number of unsuccessful attempts to find a better projection before giving up
max.i: the maximum index value, stop search if a larger value is found
optim: character indicating the search strategy to use: search_geodesic, search_better, search_better_random, search_polish. Default is search_geodesic.
n_sample: number of samples to generate if search_f is search_polish
...: arguments sent to the search_f

Examples

data(sine_curve)
tourr::animate_xy(sine_curve, guided_tour_givens(tourr::splines2d()), sphere=FALSE)
#> Converting input data to the required matrix format.
#> Value  0.306   30.6 % better  - NEW BASIS
#> Using half_range 0.85