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DEFINITIONS Here is the recursive definition of a binary tree: A binary tree is either the empty set or a triple T = (x, L, R), where x is a node and L and R are disjoint binary trees, neither of which contains x. The node x is called the root of the tree T, and the subtrees L and R are called the left subtree and the right subtree of T rooted at x. Comparing this definition with the one on page 186, it is easy to see that a binary tree is just an ordered tree of order 2. But be aware that an empty left subtree is different from an empty right subtree. (See Example 10.5 on Figure 11.1 Unequal binary trees page 191.) Consequently, the two binary trees shown Figure 11.1 are not the same. Here is an equivalent, nonrecursive definition for binary trees: A binary tree is an ordered tree in which every internal node has degree 2. In this simpler definition, the leaf nodes are regarded as dummy nodes whose only purpose is to define the structure of the tree. In applications, the internal nodes would hold data, while the leaf nodes would be either identical empty nodes, a single empty node, or just the null reference. This may seem inefficient and Figure 11.2 Equal binary trees more complex, but it is usually easier to implement. In Figure 11.2, the dummy leaf nodes in the tree on the right are shown as asterisks.

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Important!

CHAP. 11]

Except where noted, in this book we adhere to the first definition for binary trees. So some internal nodes may have only one child, either a left child or a right child. The definitions of the terms size, path, length of a path, depth of a node, level, height, interior node, ancestor, descendant, subtree, and supertree are the same for binary trees as for general trees. (See page 186.) EXAMPLE 11.1 Characteristics of a Binary Tree

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Figure 11.3 shows a binary tree of size 10 and height 3. Node a is its root. The path from node h to node b has length 2. Node b is at level 1, and node h is at level 3. b is an ancestor of h, and h is a descendant of b. The part in the shaded region is a subtree of size 6 and height 2. Its root is node b.

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Using the Barcode Fonts in Crystal Reports . Open the Field Explorer in Crystal Report . Create a new formula by right clicking Formula Field and select New. Give the new formula a name (e.g barcode39). You will now see the Formular Workshop.

To find all the binary trees of size 5, apply the recursive definition for binary trees. If t is a binary tree of size 5, then it must consist of a root node together with two subtrees the sum of whose sizes equals 4. There are four possibilities: The left subtree contains either 4, 3, 2, 1, or 0 nodes. First count all the binary trees of size 5 whose left subtree has size 4. From Example 11.3, we see that there are 14 different possibilities for that left subtree. But for each of those 14 choices, there are no other options because the right subtree must be empty. Therefore, there are 14 different binary trees of size 5 whose left subtree has size 4. Next, count all the binary trees of size 5 whose left subtree has size 3. From Example 11.2, we see that there are five different possibilities for that left subtree. But for each of those five choices, there are no

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other options because the right subtree must be a singleton. Therefore, there are five different binary trees of size 5 whose left subtree has size 3. Next, count all the binary trees of size 5 whose left subtree has size 2. There are only two different possibilities for that left subtree. But for each of those two choices, we have the same two different possibilities for the right subtree because it also must have size 2. Therefore, there are 2 2 = 4 different binary trees of size 5 whose left subtree has size 2. By similar reasoning, we find that there are five different binary trees of size 5 whose left subtree has size 1, and there are 14 different binary trees of size 5 whose left subtree has size 0. Therefore, the total number of different binary trees of size 5 is 14 + 5 + 4 + 5 + 14 = 42.

FULL BINARY TREES A binary tree is said to be full if all its leaves are at the same level and every interior node has two children. EXAMPLE 11.5 The Full Binary Tree of Height 3

The tree shown in Figure 11.6 is the full binary tree of height 3. Note that it has 15 nodes: 7 interior nodes and 8 leaves.

Theorem 111 The full binary tree of height h has l = 2h leaves and m = 2h 1 internal nodes Proof: The full binary tree of height h = 0 is a single leaf node, so it has n = 1 node, which is a leaf Therefore, since 2h 1 = 20 1 = 1 1 = 0, and 2h = 20 = 1, the formulas are correct for the case where h = 0 More generally, let h > 0 and assume (the inductive hypothesis) that the formulas are true for all full binary trees of height less than h Then consider a full binary tree of height h Each of its subtrees has height h 1, so we apply the formulas to them: lL = lR = 2h 1 and mL = mR = 2h 1 1.

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