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Space complexity; Space ) [1] Part of a series on ... In computer science, a skip list (or skiplist) is a probabilistic data structure that allows ...
However, it claims that "Skip lists are also very space efficient. They can easily be configured to require an average of 1 1/3 pointers per element (or even less)". But that paper gives an example where the occasional node requires 16 pointers; the simplest way to implement that is to give every node a fixed 16 pointers and make the unused ...
The space complexity of an algorithm or a data structure is the amount of memory space required to solve an instance of the computational problem as a function of characteristics of the input. It is the memory required by an algorithm until it executes completely. [ 1 ]
For algorithms and data structures not necessarily mentioned here, see list of algorithms and list of data structures. This list of terms was originally derived from the index of that document, and is in the public domain, as it was compiled by a Federal Government employee as part of a Federal Government work. Some of the terms defined are:
From a space-complexity standpoint, using self-balancing binary search tree with linked list takes more storage, since it requires to store extra references to other nodes. From a computational-complexity standpoint, priority queues are congruent to sorting algorithms.
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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.
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