dev-libs/mdds

Collection of multi-dimensional data structures and indexing algorithms.

Versions

Slot	Version	Repository	Platforms
3.0	3.2.0	office	~amd64	arm?	armv7?	armv8?	~x86
3.0	3.1.0	office	~amd64	arm?	armv7?	armv8?	~x86
2.1	2.1.1	office	~amd64	arm?	armv7?	armv8?	~x86

Homepage	https://gitlab.com/mdds/mdds
Summary	Collection of multi-dimensional data structures and indexing algorithms
Description	mdds provides the following data structures: Segment tree: A balanced-binary-tree based data structure efficient for detecting all intervals (or segments) that contain a given point. Flat segment tree: A variant of segment tree that is designed to store a collection of non-overlapping segments. Rectangle set: Stores 2-dimensional rectangles and provides an efficient way to query all rectangles that contain a given point in 2-dimensional space. Point quad tree: Stores 2-dimensional points and provides an efficient way to query all points within specified rectangular region. Multi-type vector: Storage of unspecified number of types in a single logical array such that contiguous elements of identical type are stored in contiguous segment in memory. Multi-type matrix: A matrix structure that allows storage of four different element types: numeric, string, boolean and empty.
Dependencies	( ( build: sys-devel/libtool sys-devel/autoconf:2.7 sys-devel/automake:1.18 ) ( build: dev-libs/boost test: dev-tcl/expect dev-util/dejagnu sys-devel/gdb build: virtual/pkg-config build+run: dev-libs/onetbb ) )
Downloads	https://gitlab.com/api/v4/projects/mdds%2Fmdds/packages/generic/source/3.2.0/mdds-3.2.0.tar.xz
Licences	MIT