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  2. 2–3–4 tree - Wikipedia

    en.wikipedia.org/wiki/2–3–4_tree

    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 root. Otherwise, push the middle value up into the parent node.

  3. Node-RED - Wikipedia

    en.wikipedia.org/wiki/Node-RED

    A Node-RED flow describes the connection and sequencing of various input, output, and processing nodes within the Node-RED platform. Each node within a flow performs a unique and specific task. When data is transmitted to a node, the node processes it according to its designated function, before passing it on to the subsequent node in the flow.

  4. AA tree - Wikipedia

    en.wikipedia.org/wiki/AA_tree

    Unlike red–black trees, red nodes on an AA tree can only be added as a right subchild. In other words, no red node can be a left sub-child. This results in the simulation of a 2–3 tree instead of a 2–3–4 tree , which greatly simplifies the maintenance operations.

  5. Tree (abstract data type) - Wikipedia

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

    An internal node (also known as an inner node, inode for short, or branch node) is any node of a tree that has child nodes. Similarly, an external node (also known as an outer node, leaf node, or terminal node) is any node that does not have child nodes. The height of a node is the length of the longest downward path to a leaf from that node ...

  6. Interval tree - Wikipedia

    en.wikipedia.org/wiki/Interval_tree

    Since each node stores the intervals that overlap it, with all intervals completely to the left of its center point in the left subtree, similarly for the right subtree, it follows that each interval is stored in the node closest to the root from the set of nodes whose center point it overlaps.

  7. Red–black tree - Wikipedia

    en.wikipedia.org/wiki/Red–black_tree

    The new node may invalidate the red–black invariant because at most three red nodes can appear in a row. This can be fixed with a double rotation. If double red issue propagates to the root, the root is then set to be black, restoring the properties. The cost of this function is the difference of the black heights between the two input trees.

  8. Tree rotation - Wikipedia

    en.wikipedia.org/wiki/Tree_rotation

    The key to understanding how a rotation functions is to understand its constraints. In particular the order of the leaves of the tree (when read left to right for example) cannot change (another way to think of it is that the order that the leaves would be visited in an in-order traversal must be the same after the operation as before).

  9. Visitor pattern - Wikipedia

    en.wikipedia.org/wiki/Visitor_pattern

    The following example is in the language Java, and shows how the contents of a tree of nodes (in this case describing the components of a car) can be printed. Instead of creating print methods for each node subclass (Wheel, Engine, Body, and Car), one visitor class (CarElementPrintVisitor) performs the required