LYCOS RETRIEVER 
Tree Data Structure: Nodes
built 614 days ago
Data structure for managing a collection of visual data objects. The Data class manages both unstructured data and data organized in a general graph (or network structure), maintaining collections of both nodes and edges. Default property values can be defined that are set on all new nodes or edges added to the data collection. Furthermore, the Data class supports sorting of node and edges, generation and caching of data value statistics, creation of data scales for data properties, and spanning tree calculation.
Source:
A tree is a data structure consisting of nodes (records) together with pointers to reference other nodes. A node, from which a pointer is emanating, is called a parent with respect to the node to which it points, which is called its child. A non-empty tree begins at a special node called the root of the tree; the root has zero or more children, but no parent. All other nodes have exactly one parent, and may have any number of children, including zero. The tree is usually drawn with the root at the top, children on the next level down, connected to the root by (undirected) line segments, their children on the next level down, etc. A subtree is a subset of nodes which ... form a tree.
Source:
The Elastic Windows algorithms use a modified ordered k-ary tree data structure with three types of nodes to manipulate hierarchically nested windows. Each node in the tree structure corresponds to a visible window or an invisible grouping of windows. At each level of the tree, space is partitioned either horizontally or vertically in an alternating order. Children of a node are ordered either left to right (horizontal) or bottom to top (vertical) depending on the partitioning. The ordering among the children nodes determines the stacking order within their parents' space. A pointer, called
Source:
Definition: (1) A data structure accessed beginning at the root node. Each node is either a leaf or an internal node. An internal node has one or more child nodes and is called the parent of its child nodes. All children of the same node are siblings. Contrary to a physical tree, the root is usually depicted at the top of the structure, and the leaves are depicted at the bottom. (2) A connected, undirected, acyclic graph.
Source:
This data structure resembles the adaptive k-d-tree with multiple cuts. Instead of marking nodes with cut directions, alternating cut directions (horizontal and vertical) are assumed and G-Nodes are introduced that allow to skip levels which ... simplifies most of the algorithms. It uses data-based partitioning that suits more the dynamic nature of the layout. Layout changes do not result in node reorganizations. The representation of the rectangle data is area-based to make better use of the space-filling layout strategy by storing only the cut points. The hierarchy relationship is coded into the data structure simply by indicating such nodes as H-Nodes.
Source:
A node may contain a value or a condition or represents a separate data structure or a tree of its own. Each node in a tree has zero or more child nodes, which are below it in the tree (by convention, trees grow down, not up as they do in nature). A node that has a child is called the child's parent node (or ancestor node, or superior). A node has at most one parent. The height of a node is the length of the longest downward path to a leaf from that node. The height of the root is the height of the tree.
Source:
MORE ABOUT
Nodes