You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@commons.apache.org by "Alex Herbert (Jira)" <ji...@apache.org> on 2021/04/25 19:49:00 UTC
[jira] [Created] (RNG-132) Package rng.sampling.shape for sampling
coordinates from shapes
Alex Herbert created RNG-132:
--------------------------------
Summary: Package rng.sampling.shape for sampling coordinates from shapes
Key: RNG-132
URL: https://issues.apache.org/jira/browse/RNG-132
Project: Commons RNG
Issue Type: Task
Components: sampling
Affects Versions: 1.4
Reporter: Alex Herbert
Assignee: Alex Herbert
Create a {{rng.sampling.shape}} package in the sampling module to contain work-in-progress samplers for shapes.
* UnitSphereSampler1 (N-surface)
* UnitBallSampler (N-volume)
* UnitSimplexSampler (N-surface)
* LineSampler (N-dimension points on a line segment or polyline)
* TriangleSampler (N-dimension points within a triangle in a 2D plane)
* TetrahedronSampler (3D points inside a tetrahedron)
* SurfaceSampler2 (ND points on a triangulated surface)
* VolumeSampler (3D points inside a volume composed of tetrahedrons)
* UnitCubeSampler (N-volume)
1The UnitSphereSampler can be deprecated and a new version created to use a factory method to create the sampler (allowing optimisation for low dimensions).
^2^The SurfaceSampler would be a composite sampler. For sampling a surface the TriangleSampler can be combined with the AliasMethodSamplerDiscreteSampler. The surface should be triangulated. The area of each triangle is used to create a distribution of which triangle to pick using the alias method. A sample is then taken from the chosen triangle.
Shape geometry will not be validated beyond basic testing for non-finite values of input coordinates. Validation of shapes could potentially be done by creating a {{commons-geometry-sampling}} module in the commons geometry project.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)