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GNU C++ Standard library has a trie implementation; Java implementation of Concurrent Radix Tree, by Niall Gallagher; C# implementation of a Radix Tree; Practical Algorithm Template Library, a C++ library on PATRICIA tries (VC++ >=2003, GCC G++ 3.x), by Roman S. Klyujkov; Patricia Trie C++ template class implementation, by Radu Gruian
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 ]
B+ tree in Python, used to implement a list; Dr. Monge's B+ Tree index notes; Evaluating the performance of CSB+-trees on Mutithreaded Architectures; Effect of node size on the performance of cache conscious B+-trees; Fractal Prefetching B+-trees; Towards pB+-trees in the field: implementations Choices and performance
An augmented tree can be built from a simple ordered tree, for example a binary search tree or self-balancing binary search tree, ordered by the 'low' values of the intervals. An extra annotation is then added to every node, recording the maximum upper value among all the intervals from this node down.
Forest: a set of trees. Height: the height of node A is the length of the longest path through children to a leaf node. Internal node: a node with at least one child. Leaf node: a node with no children. Root node: a node distinguished from the rest of the tree nodes. Usually, it is depicted as the highest node of the tree.
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A common implementation of a heap is the binary heap, in which the tree is a complete [2] binary tree (see figure). The heap data structure, specifically the binary heap, was introduced by J. W. J. Williams in 1964, as a data structure for the heapsort sorting algorithm. [3]
A search tree is a tree data structure in whose nodes data values can be stored from some ordered set, which is such that in an in-order traversal of the tree the nodes are visited in ascending order of the stored values. Basic properties. Objects, called nodes, are stored in an ordered set.