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  2. Linked list - Wikipedia

    en.wikipedia.org/wiki/Linked_list

    A binary tree can be seen as a type of linked list where the elements are themselves linked lists of the same nature. The result is that each node may include a reference to the first node of one or two other linked lists, which, together with their contents, form the subtrees below that node.

  3. Binary tree - Wikipedia

    en.wikipedia.org/wiki/Binary_tree

    In this case, an advantage of using a binary tree is significantly reduced because it is essentially a linked list which time complexity is O(n) (n as the number of nodes) and it has more data space than the linked list due to two pointers per node, while the complexity of O(log 2 n) for data search in a balanced binary tree is normally expected.

  4. Tree (abstract data type) - Wikipedia

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

    This unsorted tree has non-unique values (e.g., the value 2 existing in different nodes, not in a single node only) and is non-binary (only up to two children nodes per parent node in a binary tree). The root node at the top (with the value 2 here), has no parent as it is the highest in the tree hierarchy.

  5. List of data structures - Wikipedia

    en.wikipedia.org/wiki/List_of_data_structures

    Doubly linked list; Array list; Linked list also known as a Singly linked list; Association list; Self-organizing list; Skip list; Unrolled linked list; VList; Conc-tree list; Xor linked list; Zipper; Doubly connected edge list also known as half-edge; Difference list; Free list

  6. Linked data structure - Wikipedia

    en.wikipedia.org/wiki/Linked_data_structure

    A search tree is a tree data structure in whose nodes data values can be stored from some ordered set, which is such that in an in-order traversal of the tree the nodes are visited in ascending order of the stored values. Basic properties. Objects, called nodes, are stored in an ordered set.

  7. Tree traversal - Wikipedia

    en.wikipedia.org/wiki/Tree_traversal

    To traverse arbitrary trees (not necessarily binary trees) with depth-first search, perform the following operations at each node: If the current node is empty then return. Visit the current node for pre-order traversal. For each i from 1 to the current node's number of subtrees − 1, or from the latter to the former for reverse traversal, do:

  8. Sentinel node - Wikipedia

    en.wikipedia.org/wiki/Sentinel_node

    Linked list implementations, especially one of a circular, doubly-linked list, can be simplified remarkably using a sentinel node to demarcate the beginning and end of the list. The list starts out with a single node, the sentinel node which has the next and previous pointers point to itself. This condition determines if the list is empty.

  9. Tree contraction - Wikipedia

    en.wikipedia.org/wiki/Tree_contraction

    A balanced binary tree has exactly two branches for each vertex except for leaves. This gives a O(log n) bound on the depth of the tree. [8] A linked list is also a tree where every vertex has only one child. We can also achieve O(log n) depth using symmetry breaking. [9] Given the general case of a tree, we would like to keep the bound at O ...