Range Searching and Geometric Data Structures
kd-trees, range trees, and orthogonal range queries.
Range Searching and Geometric Data Structures. kd-trees, range trees, and orthogonal range queries.
Foundations and canonical references
The standard treatments of range searching and geometric data structures approach the subject from complementary angles. Deberg, Computational Geometry: Algorithms and Applications (2008) is the anchor reference for the subject and lays out the core definitions, theorems, and worked examples that practitioners return to.
Open methodological questions for range searching and geometric data structures include sharpening the bridges between foundational theory and computational practice, extending classical results to broader or more structured settings, and integrating the techniques surveyed above with adjacent mathematical disciplines. The references listed in this page are the entry points that current work builds on.
Prerequisites
Sources
- textbook · primary · 2008Computational Geometry: Algorithms and Applicationsdeberg-2008, cheong-2008, vankreveld-2008, overmars-2008
In context
Where this topic sits in the prerequisite graph. Click any node to jump.
Review this topic
This page was drafted by an agent and is waiting on expert review. Spotted a wrong prerequisite, a missing concept, a misattributed source, or a factual slip? Tell us — your review opens a tracked issue maintainers act on.