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Patricia Trie C++ template class implementation, by Radu Gruian; Haskell standard library implementation "based on big-endian patricia trees". Web-browsable source code. Patricia Trie implementation in Java, by Roger Kapsi and Sam Berlin; Crit-bit trees forked from C code by Daniel J. Bernstein; Patricia Trie implementation in C, in libcprops
In computer science, an in-tree or parent pointer tree is an N-ary tree data structure in which each node has a pointer to its parent node, but no pointers to child nodes. When used to implement a set of stacks , the structure is called a spaghetti stack , cactus stack or saguaro stack (after the saguaro , a kind of cactus). [ 1 ]
Thorough tutorial Julienne Walker with lots of code, including a practical implementation Object Oriented implementation with tests A Disquisition on The Performance Behavior of Binary Search Tree Data Structures (pages 67–75) – comparison of AA trees, red–black trees, treaps, skip lists, and radix trees
An octree is a tree data structure in which each internal node has exactly eight children. Octrees are most often used to partition a three-dimensional space by recursively subdividing it into eight octants. Octrees are the three-dimensional analog of quadtrees. The word is derived from oct (Greek root meaning "eight") + tree.
A 1-dimensional range tree on a set of n points is a binary search tree, which can be constructed in () time. Range trees in higher dimensions are constructed recursively by constructing a balanced binary search tree on the first coordinate of the points, and then, for each vertex v in this tree, constructing a (d−1)-dimensional range tree on the points contained in the subtree of v.
A trie is a type of search tree where – unlike for example a B-tree – keys are not stored in the nodes but in the path to leaves. The key is distributed across the tree structure. In a "classic" trie, each node with its child-branches represents one symbol of the alphabet of one position (character) of a key.
The time cost to build a vantage-point tree is approximately O(n log n). For each element, the tree is descended by log n levels to find its placement. However there is a constant factor k where k is the number of vantage points per tree node. [3] The time cost to search a vantage-point tree to find a single nearest neighbor is O(log n).
An abstract syntax tree (AST) is a data structure used in computer science to represent the structure of a program or code snippet. It is a tree representation of the abstract syntactic structure of text (often source code) written in a formal language. Each node of the tree denotes a construct occurring in the text.