enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Linked list - Wikipedia

    en.wikipedia.org/wiki/Linked_list

    The diagram demonstrates the former. To find and remove a particular node, one must again keep track of the previous element. Diagram of deleting a node from a singly linked list function removeAfter(Node node) // remove node past this one obsoleteNode := node.next node.next := node.next.next destroy obsoleteNode

  3. Non-blocking linked list - Wikipedia

    en.wikipedia.org/wiki/Non-blocking_linked_list

    Given a node n that is not yet part of the list, and a pointer p to a node in the list (perhaps the head), insert n after p. Given a pointer p , delete p.next from the list. Both operations must support concurrent use: two or more threads of execution must be able to perform insertions and deletions without interfering with each other's work ...

  4. Doubly linked list - Wikipedia

    en.wikipedia.org/wiki/Doubly_linked_list

    The first and last nodes of a doubly linked list for all practical applications are immediately accessible (i.e., accessible without traversal, and usually called head and tail) and therefore allow traversal of the list from the beginning or end of the list, respectively: e.g., traversing the list from beginning to end, or from end to beginning, in a search of the list for a node with specific ...

  5. 2–3–4 tree - Wikipedia

    en.wikipedia.org/wiki/2–3–4_tree

    If the current node is a 4-node: Remove and save the middle value to get a 3-node. Split the remaining 3-node up into a pair of 2-nodes (the now missing middle value is handled in the next step). If this is the root node (which thus has no parent): the middle value becomes the new root 2-node and the tree height increases by 1. Ascend into the ...

  6. B+ tree - Wikipedia

    en.wikipedia.org/wiki/B+_tree

    The purpose of the delete algorithm is to remove the desired entry node from the tree structure. We recursively call the delete algorithm on the appropriate node until no node is found. For each function call, we traverse along, using the index to navigate until we find the node, remove it, and then work back up to the root.

  7. Tree traversal - Wikipedia

    en.wikipedia.org/wiki/Tree_traversal

    In computer science, tree traversal (also known as tree search and walking the tree) is a form of graph traversal and refers to the process of visiting (e.g. retrieving, updating, or deleting) each node in a tree data structure, exactly once.

  8. Left-child right-sibling binary tree - Wikipedia

    en.wikipedia.org/wiki/Left-child_right-sibling...

    In a binary tree that represents a multi-way tree T, each node corresponds to a node in T and has two pointers: one to the node's first child, and one to its next sibling in T. The children of a node thus form a singly-linked list. To find a node n 's k 'th child, one needs to traverse this list:

  9. Splay tree - Wikipedia

    en.wikipedia.org/wiki/Splay_tree

    Remove that node instead. In this way, deletion is reduced to the problem of removing a node with 0 or 1 children. Unlike a binary search tree, in a splay tree after deletion, we splay the parent of the removed node to the top of the tree. Alternatively: The node to be deleted is first splayed, i.e. brought to the root of the tree and then deleted.