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On the other hand, some data structures like hash tables have very poor worst-case behaviors, but a well written hash table of sufficient size will statistically never give the worst case; the average number of operations performed follows an exponential decay curve, and so the run time of an operation is statistically bounded.
This is a list of well-known data structures. For a wider list of terms, see list of terms relating to algorithms and data structures. For a comparison of running times for a subset of this list see comparison of data structures.
An important example are operations on data structures, e.g. binary search in a sorted array. Algorithms that search for local structure in the input, for example finding a local minimum in a 1-D array (can be solved in O ( log ( n ) ) {\displaystyle O(\log(n))} time using a variant of binary search).
Implemented as a retrofit for the java.util library having extra features, like data structures like sets and linked sets, and has several algorithms to manipulate elements of a collection, like finding the largest element based on some Comparator<T> object, finding the smallest element, finding sublists within a list, reverse the contents of a ...
Trie data structures are commonly used in predictive text or autocomplete dictionaries, and approximate matching algorithms. [11] Tries enable faster searches, occupy less space, especially when the set contains large number of short strings, thus used in spell checking , hyphenation applications and longest prefix match algorithms.
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The NIST Dictionary of Algorithms and Data Structures [1] is a reference work maintained by the U.S. National Institute of Standards and Technology. It defines a large number of terms relating to algorithms and data structures. For algorithms and data structures not necessarily mentioned here, see list of algorithms and list of data structures.
Data in R-trees is organized in pages that can have a variable number of entries (up to some pre-defined maximum, and usually above a minimum fill). Each entry within a non-leaf node stores two pieces of data: a way of identifying a child node, and the bounding box of all entries within this child node. Leaf nodes store the data required for ...