Trees implemented in Nim.
Trees come in a large variety, and can be very nice data structures.
Note: all comparisons on generic data are performed with the cmp() function, so the < and == should be defined on your types.
AVL trees are balanced binary search trees with the following worst time complexities for common operations: space: O(n) insert: O(lg(n)) remove: O(lg(n)) find: O(lg(n)) in-order iteration: O(n)
These worst case complexities are better than a hashtables, and binary search trees can offer better performance if the size of the data is not known in advance, as trees don't have to rehash all entries for a resize. Trees can also be useful in systems where operations must be guaranteed to complete quickly, an operation requiring a table resize could take too long.
AVL trees are more rigidly balanced than Red-Black trees, and are generally more performant in read heavy applications. That being said, there isn't a huge performance difference between the trees.
Algorithm's adapted from wikipedia, see https://en.wikipedia.org/wiki/AVL_tree.
Red-Black trees are balanced binary search trees with the following worst case time complexities for common operations: space: O(n) insert: O(lg(n)) remove: O(lg(n)) find: O(lg(n)) in-order iteration: O(n)
Red-Black trees are very similar to AVL trees, except are less rigidly balanced.
Algorithm's adapted from http://staff.ustc.edu.cn/~csli/graduate/algorithms/book6/chap14.htm.
Splay trees are binary search trees that don't apply balance operations on each insert/remove, and as such are unbalanced and don't provide a O(lg(n)) worst case insert/remove. Instead, splay trees rotate newly added and searched for data to the top of the tree so commonly accessed data and newly inserted items are very fast to find, as you don't have to go through a large part of the tree to find them. Splay tree double rotations are slightly different than normal double tree rotations, so data ascends the tree quickly, but descends much slower. This is good enough to offer amortized lg(n) time for insert, remove and find.
Algorithm's adapted from wikipedia, see https://en.wikipedia.org/wiki/Splay_tree
Author: Brian Shannan brianshannan@gmail.com