Randomized Binary Search Trees.
This package contains an implementation of a Randomized Binary Search Tree.
Randomized Binary Search Trees are guaranteed to be Random BST irrespective of the number of insert
/ delete
operations. This guarantees logarithmic time operations (with a constant factor) in the worst case.
rbst: efficient randomized binary search trees
Efficient implementation of the Randomized Binary Search Trees data structure.
When to use this package?
Randomized Binary Search Trees are useful when you cannot make assumptions on the input distribution but you still need fast (logarithmic time complexity) insert
/lookup
/delete
/at
/union
/etc. operations. It is guaranteed efficient self-balancing. Below you can find the table of time complexity for all operations (where n
is the size of the tree):
Operation | Time complexity | Description |
---|---|---|
size | O(1) | Count elements in the tree |
lookup | O(log n) | Access by key |
insert | O(log n) | Insert an element with the given key |
delete | O(log n) | Delete the element associated to the given key |
take | O(log n) | Take first i-th elements |
drop | O(log n) | Drop first i-th elements |
at | O(log n) | Access by index |
remove | O(log n) | Remove the i-th element |
union | O(m + n) | Union of two trees |
intersection | O(m + n) | Intersection of two trees |
subtraction | O(m + n) | Subtraction of two trees |
difference | O(m + n) | Symmetric difference of two trees |
Usage example
>>> :set -XOverlodadeLists
>>> import GHC.Exts
>>> import RBST
-- Manually created
>>> let tree = insert 'a' 1
$ insert 'b' 2
$ insert 'c' 3
$ insert 'd' 4
$ insert 'e' 5
$ empty
-- Using 'OverloadedLists'
>>> let tree = (fromList $ zip ['a'..'e'] [1..5]) :: RBST Char Int
>>> RBST.prettyPrint tree
('b',2) [5]
╱╲
╱ ╲
╱ ╲
╱ ╲
╱ ╲
╱ ╲
╱ ╲
╱ ╲
╱ ╲
('a',1) [1] ('d',4) [3]
╱╲
╱ ╲
╱ ╲
╱ ╲
╱ ╲
╱ ╲
('c',3) [1] ('e',5) [1]
-- Queries
>>> size tree
5
>>> lookup 'd'
Just 4
>>> lookup 'a' $ insert 'a' 7 tree
Just 7
>>> lookup 'd' (delete 'd' tree)
Nothing
How to use it
In order to start using rbst
in your project, you will need to set it up with the two easy steps:
Add the dependency in your project's
.cabal
file:build-depends: base ^>= 4.14 , rbst ^>= 0.0.0.0
In the module where you wish to use
rbst
, add the (qualified) import:import qualified RBST
Stack
If
rbst
is not available on your current Stackage resolver yet, you can still use it by adding the following in theextra-deps
section of yourstack.yaml
file:extra-deps: - rbst-0.0.0.0
Then you can add it as a dependency in your
package.yaml
file as usual:library: dependencies: - rbst
Acknowledgement
To the authors C. Martinez and S. Roura.
To D. Kovanikov and his project implicit treap.
Icons designed by Freepik from www.flaticon.com.