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lecture19 - COMP 250 Winter 2010 19 - binary trees Feb 19,...

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Unformatted text preview: COMP 250 Winter 2010 19 - binary trees Feb 19, 2010 Binary Trees The order of a (rooted) tree is the maximum number of children of any node. A tree of order n is called an n-ary tree. It is very common to use trees of order 2. These are called binary trees . Each node of a binary tree can have two children, called the left child and right child . The terms left and right refer to their relative position when you draw the tree. Here is a typical definition of a binary tree node. class BTNode<T>{ T e; BTNode<T> parent; // optional, analogous to "prev" of linked list BTNode<T> left; BTNode<T> right; } A binary tree is a special case of a tree, so the algorithms we have discussed for computing the depth or height of a node and for traversing a tree apply to binary trees as well. There is one more traversal algorithm to be mentioned, which is commonly used for binary trees, called in-order traversal . inorderTraversal(root){ if (root is not empty){ // base case inorderTraversal(root.left) visit root inorderTraversal(root.right) } } [ASIDE: You could define an inorder traversal for general trees. For example, you could visit the first child, then visit the root, then visit any remaining children. But such inorder traversals are typically not used for general trees, though.] Example a / \ b c / \ / \ d e f g level order: a b c d e f g pre-order: a b d e c f g post-order: d e b f g c a in-order: d b e a f c g 1 COMP 250 Winter 2010 19 - binary trees Feb 19, 2010 Expression Trees You are familiar with forming expressions using...
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This note was uploaded on 09/25/2011 for the course COMP 250 taught by Professor Blanchette during the Spring '08 term at McGill.

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lecture19 - COMP 250 Winter 2010 19 - binary trees Feb 19,...

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