Data Structures and Algorithms
with Object-Oriented Design Patterns in Java
Consider a tree T containing the set of nodes R
as given by Definition .
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The level
or depth of a node
in a tree T is the length of the unique path in T
from its root r to the node .
For example, the root of T is at level zero and
the roots of the subtrees are of T are at level one.
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The height of a node
in a tree T
is the length of the longest path from node to a leaf.
Therefore, the leaves are all at height zero.
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The height of a tree
T is the height of its root node r.
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Consider two nodes and in a tree T.
The node is an ancestor
of the node if there exists a path in T from to .
Notice that and may be the same node.
That is, a node is its own ancestor.
However, the node
is a proper ancestor
if there exists a path p in T from to
such that the length of the path p is non-zero.
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Similarly, node is a descendant
of the node if there exists a path in T from to .
And since and may be the same node,
a node is its own descendant.
The node
is a proper descendant
if there exists a path p in T from to
such that the length of the path p is non-zero.
Copyright © 1998 by Bruno R. Preiss, P.Eng. All rights reserved.