Data Structures and Algorithms in Java[1].pdf - Fulvio Frisone

The inorder traversal can also be applied to the problem of computing a drawing
of a binary tree. We can draw a binary tree T with an algorithm that assigns x- and
y-coordinates to a node v of T using the following two rules (see Figure 7.19):
• x(v) is the number of nodes visited before v in the inorder traversal of T
• y(v) is the depth of v in T.
In this application, we take the convention common in computer graphics that x-
coordinates increase left to right and y-coordinates increase top to bottom. So the
origin is in the upper left corner of the computer screen.
Figure 7.19: An inorder drawing of a binary tree.
The Euler Tour Traversal of a Binary Tree
The tree-traversal algorithms we have discussed so far are all forms of iterators.
Each traversal visits the nodes of a tree in a certain order, and is guaranteed to
visit each node exactly once. We can unify the tree-traversal algorithms given
above into a single framework, however, by relaxing the requirement that each
node be visited exactly once. The resulting traversal method is called the Euler
tour traversal, which we study next. The advantage of this traversal is that it
allows for more general kinds of algorithms to be expressed easily.
The Euler tour traversal of a binary tree T can be informally defined as a "walk"
around T, where we start by going from the root toward its left child, viewing the
edges of T as being "walls" that we always keep to our left. (See Figure 7.20.)
Each node v of T is encountered three times by the Euler tour:
• "On the left" (before the Euler tour of v's left subtree)
• "From below" (between the Euler tours of v's two subtrees)
• "On the right" (after the Euler tour of v's right subtree).
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