Design a Skiplist without using any built-in libraries.
A Skiplist is a data structure that takes O(log(n)) time to add
,
erase
and search
. Comparing with treap and red-black tree which
has the same function and performance, the code length of Skiplist can be comparatively
short and the idea behind Skiplists are just simple linked lists.
For example: we have a Skiplist containing [30,40,50,60,70,90]
and we
want to add 80
and 45
into it. The Skiplist works this
way:
Artyom Kalinin [CC BY-SA 3.0], via Wikimedia
Commons
You can see there are many layers in the Skiplist. Each layer is a sorted linked list.
With the help of the top layers, add
, erase
and
search
can be faster than O(n). It can be proven that the
average time complexity for each operation is O(log(n)) and space complexity is O(n).
To be specific, your design should include these functions:
bool search(int target)
: Return whether the target
exists in the Skiplist or not.
void add(int num)
: Insert a value into the SkipList. bool erase(int num)
: Remove a value in the Skiplist. If
num
does not exist in the Skiplist, do nothing and return false. If
there exists multiple num
values, removing any one of them is fine.
See more about Skiplist : https://en.wikipedia.org/wiki/Skip_list
Note that duplicates may exist in the Skiplist, your code needs to handle this situation.
Example:
Skiplist skiplist = new Skiplist(); skiplist.add(1); skiplist.add(2); skiplist.add(3); skiplist.search(0); // return false. skiplist.add(4); skiplist.search(1); // return true. skiplist.erase(0); // return false, 0 is not in skiplist. skiplist.erase(1); // return true. skiplist.search(1); // return false, 1 has already been erased.
Constraints:
0 <= num, target <= 20000
50000
calls will be made to search
,
add
, and erase
.