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A scattered affine interpolant on one Delaunay cell
Statement
On the Delaunay triangle with vertices and vertex data , the query has barycentric weights and affine interpolated value .
Facts & Assumptions
Given: The three indexed dyadic sites with respective scalar data , and query .
Finite indexed geometric site sets and duplicate handling: these are distinct exact dyadic sites.
Planar triangulations, Delaunay structures, and Voronoi cells: a triangulation of three noncollinear sites has their convex hull as its single triangular cell.
Barycentric point location, affine interpolation, and nearest-site queries: barycentric coordinates sum to one, reconstruct the point, and the interpolant is their weighted data sum.
Barycentric interpolation and nearest-site queries are correct: the coordinates determine exact membership and the unique affine interpolant.
Exact planar insertion terminates with a weak empty-circle triangulation: the cell is weakly empty-circle and is returned by the algorithm.
No other sites are included in this example's site set.
Proof
Let correspond to . The coordinate equations give and , hence ; their sum constraint gives . All three are nonnegative, so the query lies in the triangle by [F3].
The interpolated value is . Uniqueness follows from [F4].
The three sites are noncollinear, so by [F2] their convex hull is their single triangle. Its circumcircle has center and radius squared ; there are no other sites by [A1], so it is weakly empty, and [F5] returns this cell.
Depends on
- Finite indexed geometric site sets and duplicate handling
- Planar triangulations, Delaunay structures, and Voronoi cells
- Barycentric point location, affine interpolation, and nearest-site queries
- Barycentric interpolation and nearest-site queries are correct
- Exact planar insertion terminates with a weak empty-circle triangulation
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
15 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Mark de Berg et al., Computational Geometry: Algorithms and Applications, 3rd ed., Chapter 9 (standard reference, not scraped)
- David M. Mount, CMSC 754 Computational Geometry, Lecture 11 (standard reference, not scraped)