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Introduction to Skiplist

Explore the structure and principles of skiplists to understand how they support efficient get, set, add, and remove operations in logarithmic expected time. Learn about the probabilistic methods underlying skiplist height and search paths, and how these lead to fast data retrieval and updates within linked lists and sorted sets.

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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 L0L_0 that contains nn items and construct L1L_1 ...