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Queues are common in computer programs, where they are implemented as data structures coupled with access routines, as an abstract data structure or in object-oriented languages as classes. A queue has two ends, the top, which is the only position at which the push operation may occur, and the bottom, which is the only position at which the pop ...
This means each ADT instance or state is represented by some concrete data type or data structure, and for each abstract operation there is a corresponding procedure or function, and these implemented procedures satisfy the ADT's specifications and axioms up to some standard. In practice, the implementation is not perfect, and users must be ...
Most sequential data types are implemented by a data structure containing a reference to the end, and thus peek is simply implemented by dereferencing this. In some cases it is more complicated, however. For some data types, such as stacks, this can be replicated in terms of more basic operations, but for other data types, such as queues, it ...
Double-ended queues can also be implemented as a purely functional data structure. [3]: 115 Two versions of the implementation exist. The first one, called 'real-time deque, is presented below. It allows the queue to be persistent with operations in O(1) worst-case time, but requires lazy lists with memoization. The second one, with no lazy ...
While priority queues are often implemented using heaps, they are conceptually distinct from heaps. A priority queue is an abstract data type like a list or a map; just as a list can be implemented with a linked list or with an array, a priority queue can be implemented with a heap or another method such as an ordered array.
In Scala 2, an ADT may be defined with: [citation needed] sealed abstract class Tree extends Product with Serializable object Tree { final case object Empty extends Tree final case class Node ( value : Int , left : Tree , right : Tree ) extends Tree }
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.
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.