trees krw
TRANSCRIPT
What is a Tree?• A two dimensional linked structure• Examples:– Family tree– Organization of sports tournament– Organizational chart of large cooperation
A Tree• A tree is a nonempty collection of vertices and edges that
satisfies certain requirements• A vertex is a simple object (also referred to as a node) that can
have a name and carry other associated information• An edge is a connection between two vertices• A path in a tree is a list of distinct vertices in which successive
vertices are connected by edges in the tree• One node in the tree is designated as the root• The defining property of a tree is that there is exactly one path
between the root and each of the other nodes in the tree
A Sample Tree: Figure 1
Details• Each node (except the root) has exactly one node above it,
which is called its parent• The nodes directly below a node are called its children• In Figure 1, P is the grandchild of R and has three siblings• Nodes with no children are sometimes called leaves, or
terminal nodes• Nodes with at least one child are called non terminal nodes• Sometimes we refer to non terminal nodes as internal nodes
and terminal nodes as external nodes
A Sub Tree• Any node is the root of a sub tree consisting of it and the
nodes below it• In Figure 1, there are – seven one-node sub trees– one three-node sub tree– one five-node sub tree– one six-node sub tree
A Forest• A set of trees is called a forest• For example, if we remove the root and the edges connecting
it from the tree in Figure 1, we are left with a forest consisting of three trees rooted at A, R, and E
An Ordered Tree• An ordered tree is one in which the order of the children at
every node is specified• There are many different ways to draw trees that are not
ordered
Levels of a Tree• The level of a node is the number of nodes on the path from the
node to the root (not including itself)• For example, in Figure 1, R is on level 1 and S is on level 2• The height of a tree is the maximum level among all nodes in the
tree (or maximum distance to the root from any node)• The path length of a tree is the sum of the levels of all the nodes
in the tree (or the sum of the lengths of the paths from each node to the root)
• The tree in Figure 1 is of height 3 and path length 21• If internal nodes are distinguished from external nodes, we speak
of internal path length and external path length
A Multi Way Tree• If each node must have a specific number of children
appearing in a specific order, then we have a multi way tree• In such a tree, it is appropriate to define special external nodes
which have no children (and usually no name or other associated information)
• Then external nodes act as “dummy” nodes for reference by nodes that do not have the specified number of children
A Binary Tree• A binary tree is an ordered tree consisting of two types of
nodes: external nodes with no children and internal nodes with exactly two children
• Since the two children of each internal node are ordered, we refer to the left child and the right child of internal nodes
• Every internal node must have both a left and a right child, though one or both of them might be an external node
A Sample Binary Tree: Figure 2
Binary Tree Details• The purpose of the binary tree is to structure the internal
nodes; the external nodes serve only as placeholders• A binary tree could be “empty”, consisting of no internal
nodes and one external node
Reference
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