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Binary Search Tree Neil Tang 01/28/2010
CS223 Advanced Data Structures and Algorithms
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CS223 Advanced Data Structures and Algorithms
Class Overview Definition Operations: contains, findMin, findMax, insert, remove Time complexity analysis CS223 Advanced Data Structures and Algorithms
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CS223 Advanced Data Structures and Algorithms
Definition A Binary Search Tree is a special binary tree in which for each node X, the values of all the items in its left subtree are smaller than that in X and the values of all the items in its right subtree are larger than that in X. CS223 Advanced Data Structures and Algorithms
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CS223 Advanced Data Structures and Algorithms
Operations contains: find out if a binary search tree contains a given item x. CS223 Advanced Data Structures and Algorithms
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CS223 Advanced Data Structures and Algorithms
Operations findMin/findMax: find the smallest/largest item in a binary search tree. CS223 Advanced Data Structures and Algorithms
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CS223 Advanced Data Structures and Algorithms
Operations insert: insert an item into a binary search tree. 14 2 9 5 12 18 19 17 13 15 2 9 5 12 18 19 17 14 15 13 2 9 5 12 18 19 17 14 15 13 14 14 2 9 5 12 18 19 17 13 15 2 9 5 12 18 19 17 13 15 CS223 Advanced Data Structures and Algorithms
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CS223 Advanced Data Structures and Algorithms
Operations CS223 Advanced Data Structures and Algorithms
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CS223 Advanced Data Structures and Algorithms
Operations remove: delete an item in a binary search tree. 15 15 5 3 10 6 7 23 16 18 20 12 5 16 Case 1: 3 12 20 18 23 10 13 6 7 15 5 3 10 6 7 23 16 18 20 13 12 15 5 3 10 6 7 23 18 20 13 12 Case 2: 15 5 3 10 6 7 23 16 18 20 13 12 15 5 3 6 23 16 18 20 13 12 10 7 Case 3: CS223 Advanced Data Structures and Algorithms
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CS223 Advanced Data Structures and Algorithms
Operations CS223 Advanced Data Structures and Algorithms
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Time Complexity Analysis
The time complexities of almost all operations on a binary search tree are O(d), where d is the depth (height) of the tree. d = 3 = log(N+1)-1 = O(logN) d = 7 = (N+1)/2 - 1 = O(N) d = N-1 = O(N) Theorem: The average height of a randomly built (insertion) binary search tree on N keys is (logN) . (pp.268 Cormen’s book) CS223 Advanced Data Structures and Algorithms
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