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2. Data structure - Wikipedia

   en.wikipedia.org/wiki/Data_structure

   A data structure known as a hash table.. In computer science, a data structure is a data organization and storage format that is usually chosen for efficient access to data. [1] [2] [3] More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data, [4] i.e., it is an algebraic structure about data.

3. List of data structures - Wikipedia

   en.wikipedia.org/wiki/List_of_data_structures

   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.

4. C++ classes - Wikipedia

   en.wikipedia.org/wiki/C++_classes

   A class in C++ is a user-defined type or data structure declared with any of the keywords class, struct or union (the first two are collectively referred to as non-union classes) that has data and functions (also called member variables and member functions) as its members whose access is governed by the three access specifiers private, protected or public.

5. Concurrent data structure - Wikipedia

   en.wikipedia.org/wiki/Concurrent_data_structure

   Concurrent data structures are significantly more difficult to design and to verify as being correct than their sequential counterparts. The primary source of this additional difficulty is concurrency, exacerbated by the fact that threads must be thought of as being completely asynchronous: they are subject to operating system preemption, page faults, interrupts, and so on.

6. C++ - Wikipedia

   en.wikipedia.org/wiki/C++

   Encapsulation is the hiding of information to ensure that data structures and operators are used as intended and to make the usage model more obvious to the developer. C++ provides the ability to define classes and functions as its primary encapsulation mechanisms.

7. Comparison of data structures - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_data_structures

   Here are time complexities [5] of various heap data structures. The abbreviation am. indicates that the given complexity is amortized, otherwise it is a worst-case complexity. For the meaning of "O(f)" and "Θ(f)" see Big O notation. Names of operations assume a max-heap.

8. Tree (abstract data type) - Wikipedia

   en.wikipedia.org/wiki/Tree_(abstract_data_type)

   In computer science, a tree is a widely used abstract data type that represents a hierarchical tree structure with a set of connected nodes. Each node in the tree can be connected to many children (depending on the type of tree), but must be connected to exactly one parent, [ 1 ] [ 2 ] except for the root node, which has no parent (i.e., the ...

9. Range tree - Wikipedia

   en.wikipedia.org/wiki/Range_tree

   A 1-dimensional range tree on a set of n points is a binary search tree, which can be constructed in (⁡) time. Range trees in higher dimensions are constructed recursively by constructing a balanced binary search tree on the first coordinate of the points, and then, for each vertex v in this tree, constructing a (d−1)-dimensional range tree on the points contained in the subtree of v.