Computer Science: An Overview: Global Edition (12th Edition)

Published by Pearson Higher Education
ISBN 10: 1292061162
ISBN 13: 978-1-29206-116-0

Chapter 8 - Data Abstractions - Chapter Review Problems - Page 411: 38

Answer

See the explanation

Work Step by Step

Here's a Python algorithm to decide whether T2 is a subtree of T1: ```python class TreeNode: def __init__(self, val=0, left=None, right=None): self.val = val self.left = left self.right = right def is_identical(root1, root2): if root1 is None and root2 is None: return True if root1 is None or root2 is None: return False return (root1.val == root2.val and is_identical(root1.left, root2.left) and is_identical(root1.right, root2.right)) def is_subtree(T1, T2): if T2 is None: return True if T1 is None: return False if is_identical(T1, T2): return True return is_subtree(T1.left, T2) or is_subtree(T1.right, T2) # Example usage: # T1 and T2 are instances of TreeNode class # Call is_subtree(T1, T2) to check if T2 is a subtree of T1 ``` Explanation: - We define a `TreeNode` class to represent the nodes of the binary tree. - The `is_identical` function checks if two trees rooted at `root1` and `root2` are identical. - The `is_subtree` function recursively checks if `T2` is a subtree of `T1`. - If `T2` is `None`, it is considered a subtree of any tree. - If `T1` is `None`, `T2` cannot be a subtree. - If the roots are identical, we recursively check if the left and right subtrees are identical. - If `T2` is not found as a subtree at the current node, we recursively search in the left and right subtrees of `T1`. - The algorithm has a time complexity of O(m * n), where m is the number of nodes in T1 and n is the number of nodes in T2.
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