What are the fundamental data structures used in Computational Geometry?

Computational Geometry Questions



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What are the fundamental data structures used in Computational Geometry?

The fundamental data structures used in Computational Geometry are:

1. Point: Represents a single point in space, typically defined by its coordinates (x, y, z).

2. Line: Represents a straight line segment connecting two points.

3. Polygon: Represents a closed shape formed by a sequence of connected line segments.

4. Triangle: A polygon with three sides and three vertices.

5. Circle: Represents a set of points equidistant from a center point.

6. Half-plane: Represents a region bounded by a line.

7. Convex Hull: Represents the smallest convex polygon that encloses a set of points.

8. Quadtree: A tree data structure used to partition a 2D space into smaller regions for efficient spatial indexing.

9. Voronoi Diagram: Represents the partitioning of a plane into regions based on the distance to a set of points.

10. Delaunay Triangulation: Represents a triangulation of a set of points such that no point is inside the circumcircle of any triangle.

These data structures are essential for performing various geometric algorithms and solving problems in Computational Geometry.