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A skip list does not provide the same absolute worst-case performance guarantees as more traditional balanced tree data structures, because it is always possible (though with very low probability [5]) that the coin-flips used to build the skip list will produce a badly balanced structure. However, they work well in practice, and the randomized ...
A skip graph is a distributed data structure based on skip lists designed to resemble a balanced search tree.They are one of several methods to implement a distributed hash table, which are used to locate resources stored in different locations across a network, given the name (or key) of the resource.
This is a list of well-known data structures. For a wider list of terms, ... Floating-point representation of a finite subset of the ... Skip list; Unrolled linked ...
In the following the priority queue is implemented as a skip list. [25] [26] In addition, an atomic synchronization primitive, CAS, is used to make the skip list lock-free. The nodes of the skip list consists of a unique key, a priority, an array of pointers, for each level, to the next nodes and a delete mark.
Open Data Structures - Section 7.2 - Treap: A Randomized Binary Search Tree, Pat Morin; Animated treap; Randomized binary search trees. Lecture notes from a course by Jeff Erickson at UIUC. Despite the title, this is primarily about treaps and skip lists; randomized binary search trees are mentioned only briefly.
Adjacency list [2] Vertices are stored as records or objects, and every vertex stores a list of adjacent vertices. This data structure allows the storage of additional data on the vertices. Additional data can be stored if edges are also stored as objects, in which case each vertex stores its incident edges and each edge stores its incident ...
The abstract data type (ADT) can be represented in a number of ways, including a list of parents with pointers to children, a list of children with pointers to parents, or a list of nodes and a separate list of parent-child relations (a specific type of adjacency list).
Ensuring that the underlying data structure is obscure seems rather pointless when said 'adversarial' user can simply remove the entire list, or fill it with meaningless values. There are other reasons for randomization (covered above); I believe the article should be rewritten to de-emphasize or remove the 'adversarial user' explanations.