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Introduction to Skiplist

Explore the fundamentals of the skiplist data structure, understanding its layered linked list design and randomization that allows efficient O(log n) expected time for searching, inserting, and deleting elements. Discover how skiplists handle search paths and node heights to optimize data management.

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Skiplist overview

Here, we discuss a beautiful data structure: the skiplist, which has a variety of applications. Using a skiplist we can implement a List that has O(logn)O(\log n) time implementations of get(i), set(i, x), add(i, x), and remove(i). We can also implement an SSet in which all operations run in O(logn)O(\log n) expected time.

The efficiency of skiplists relies on their use of randomization. When a new element is added to a skiplist, the skiplist uses random coin tosses to determine the height of the new element. The performance of skiplists is expressed in terms of expected running times and path lengths. This expectation is taken over the random coin tosses used by the skiplist. In the implementation, the random coin tosses used by a skiplist are simulated using a pseudo-random number (or bit) generator.

Skiplist structure

Conceptually, a skiplist is a sequence of singly-linked lists L0,,Lh.L_0,\cdots,L_h. Each list LrL_r contains a subset of the items in Lr1L_{r−1}. We start with the input list ...