sierpinski_carpet_surface_helpers: Weighted Sierpinski carpet surface helpers

Description

Convenience wrappers around recursive.mask.grid.surface.*() using the classic \(3 \times 3\) carpet mask with the center cell removed.

Usage

sierpinski.carpet.surface.embedding(
  level = 2,
  surface = c("saddle", "paraboloid", "ripple"),
  amplitude = 0.75,
  freq_u = 1,
  freq_v = 1,
  x_scale = 1,
  y_scale = 1
)
sierpinski.carpet.surface.graph(
  level = 2,
  surface = c("saddle", "paraboloid", "ripple"),
  amplitude = 0.75,
  freq_u = 1,
  freq_v = 1,
  x_scale = 1,
  y_scale = 1,
  normalize = c("median", "mean", "none")
)

Value

sierpinski.carpet.surface.embedding() returns an n x 3 numeric matrix with columns x, y, and z, where n = 8^level.

sierpinski.carpet.surface.graph() returns the same components as recursive.mask.grid.surface.graph(), with family set to "sierpinski.carpet" and a family-specific class and label.

Arguments

level: Recursion depth. Must be at least 1.
surface: Surface family used for the lift. One of "saddle", "paraboloid", or "ripple".
amplitude: Finite numeric amplitude controlling the non-flat displacement.
freq_u: Positive ripple frequency in the horizontal parameter direction. Used only when surface = "ripple".
freq_v: Positive ripple frequency in the vertical parameter direction. Used only when surface = "ripple".
x_scale: Positive horizontal scaling of the parameter domain.
y_scale: Positive vertical scaling of the parameter domain.
normalize: Normalization applied to the induced edge lengths. One of "median", "mean", or "none".

Details

`sierpinski.carpet.surface.embedding()` returns the 3D coordinates of the occupied cells in the same vertex order as edges.sierpinski.carpet(). `sierpinski.carpet.surface.graph()` returns a reusable weighted-graph bundle for the named Sierpinski carpet family.