miv_simulator.geometry.rbf_volume#

Implements a parametric volume as a 3-tuple of RBF instances, one each for u, v and l. Based on code from bspline_surface.py

Functions

`cartesian_product`(arrays[, out])	Generate a cartesian product of input arrays.
`euclidean_distance`(a, b)	Row-wise euclidean distance.
`test_load`()
`test_mplot_surface`()
`test_mplot_volume`()
`test_point_distance`()
`test_point_distance_mesh`()
`test_point_position`()
`test_precision`()
`test_surface`(u, v, l)
`test_tri`()
`test_uv_isospline`()

Classes

RBFVolume(u, v, l, xyz[, order, basis])

miv_simulator.geometry.rbf_volume.euclidean_distance(a, b)[source]#: Row-wise euclidean distance. a, b are row vectors of points.

miv_simulator.geometry.rbf_volume.cartesian_product(arrays, out=None)[source]#

Generate a cartesian product of input arrays.

Parameters:

arrayslist of array-like: 1-D arrays to form the cartesian product of.
outndarray: Array to place the cartesian product in.

Returns:

outndarray: 2-D array of shape (M, len(arrays)) containing cartesian products formed of input arrays.

Examples

>>> cartesian(([1, 2, 3], [4, 5], [6, 7]))
array([[1, 4, 6],
       [1, 4, 7],
       [1, 5, 6],
       [1, 5, 7],
       [2, 4, 6],
       [2, 4, 7],
       [2, 5, 6],
       [2, 5, 7],
       [3, 4, 6],
       [3, 4, 7],
       [3, 5, 6],
       [3, 5, 7]])