Exponential tree
- 1 min read
- 3 chapters
Explore on Lably
ToursExplore Lably’s 3D toursExponential trees achieve optimal asymptotic complexity on some operations. They have mainly theoretical importance.
Tree structure
An exponential tree is a rooted tree where every node contains a splitter and every leaf node contains a value. The value may be different from the splitter. An exponential tree with values is defined recursively:
- The root has children
- The splitter of the root is the same as the splitter of the leftmost child
- The splitters of all children are stored in a local data structure
- The subtrees are exponential trees with values
An additional condition is that searching for a value using the splitters must yield the correct node (i.e. the one containing the value). Therefore, if a root of a subtree contains the splitter and its right sibling contains the splitter , then this subtree can only contain keys in the range .
Sign in to keep reading
2 more chapters are free with a Lably account.
Local data structure
The tree uses a static data structure in every inner node to allow fast lookup of values. It must be possible to build this structure with values in time . The lookup time in this structure is denoted .
A Fusion tree can be used as this data structure.
Operations
Search
The exponential tree can be searched in the same way as a normal search tree. In each node, the local data structure can be used to find the next child quickly.
Let denote the time complexity of the search. Then it satisfies the following recurrence:

