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2. Abstract data type - Wikipedia

   en.wikipedia.org/wiki/Abstract_data_type

   For example, integers may be specified as an ADT, defined by the distinguished values 0 and 1, the operations of addition, subtraction, multiplication, division (with care for division by zero), comparison, etc., behaving according to the familiar mathematical axioms in abstract algebra such as associativity, commutativity, and so on.

3. Tree (abstract data type) - Wikipedia

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

   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).

4. 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.

5. Graph (abstract data type) - Wikipedia

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

   The basic operations provided by a graph data structure G usually include: [1] adjacent(G, x, y): tests whether there is an edge from the vertex x to the vertex y; neighbors(G, x): lists all vertices y such that there is an edge from the vertex x to the vertex y; add_vertex(G, x): adds the vertex x, if it is not there;

6. List of data structures - Wikipedia

   en.wikipedia.org/wiki/List_of_data_structures

   1.2 Composite types or non-primitive type. 1.3 Abstract data types. 2 Linear data structures. ... Graph (example Tree, Heap) Some properties of abstract data types:

7. Linked list - Wikipedia

   en.wikipedia.org/wiki/Linked_list

   This function inserts a value "newVal" before a given node "node" in O(1) time. A new node has been created between "node" and the next node, then puts the value of "node" into that new node, and puts "newVal" in "node". Thus, a singly linked circularly linked list with only a firstNode variable can both insert to the front and back in O(1) time.

8. Queue (abstract data type) - Wikipedia

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

   A doubly linked list has O(1) insertion and deletion at both ends, so it is a natural choice for queues. A regular singly linked list only has efficient insertion and deletion at one end. However, a small modification—keeping a pointer to the last node in addition to the first one—will enable it to implement an efficient queue.

9. Associative array - Wikipedia

   en.wikipedia.org/wiki/Associative_array

   In mathematical terms, an associative array is a function with finite domain. [1] It supports 'lookup', 'remove', and 'insert' operations. The dictionary problem is the classic problem of designing efficient data structures that implement associative arrays. [2] The two major solutions to the dictionary problem are hash tables and search trees.