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CS 225 Data Structures Feb. 21 Binary Search Tre ree Wad ade Fag - PowerPoint PPT Presentation

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CS 225 Data Structures Feb. 21 Binary Search Tre ree Wad ade Fag agen-Ulm lmschneid ider Traversal vs. . Search Traversal vs. Search: Traversal visits every node in the tree exactly once. Search finds one element in the tree.

  1. CS 225 Data Structures Feb. 21 – Binary Search Tre ree Wad ade Fag agen-Ulm lmschneid ider

  3. Traversal vs. . Search Traversal vs. Search: • Traversal visits every node in the tree exactly once. • Search finds one element in the tree.

  4. Search: Breadth First vs. . Depth First Strategy: Breadth First Search (BFS) / Traversal Strategy: Depth First Search (DFS) / Traversal

  5. Running Times on a Binary ry Tree A U T O M E S C W N I

  6. Dictionary ry ADT Data is often organized into key/value pairs: UIN  Advising Record Course Number  Lecture/Lab Schedule Node  Incident Edges Flight Number  Arrival Information URL  HTML Page …

  7. Dictionary.h 1 #ifndef DICTIONARY_H 2 #define DICTIONARY_H 3 4 5 class Dictionary { 6 public: 7 8 9 10 11 12 13 14 15 16 private: 17 18 19 20 }; 21 22 #endif

  8. Binary ry Tree as a Search Structure A U T O M E S C W N I

  9. Binary ry ___________ Tree (B (BST) A BST is a binary tree T such that: 38 13 51 10 25 40 84 12 37 89 66 95

  10. BST.h 1 #ifndef DICTIONARY_H 2 #define DICTIONARY_H 3 4 template <class K, class V> 5 class BST { 6 public: 7 BST(); 8 void insert(const K key, V value); 9 V remove(const K & key); 10 V find(const K & key) const; 11 TreeIterator traverse() const; 12 private: 13 struct TreeNode { 14 TreeNode *left, *right; 15 K & key; 16 V & value; 17 TreeNode(K & k, V & v) : key(k), value(v), left(NULL), 18 right(NULL) { } 19 }; 20 }; 21 22 #endif

  11. template<typename K, typename V> 1 2 ________________________ _find(TreeNode *& root, const K & key) const { 3 4 5 6 7 8 9 10 root 11 12 38 13 14 15 13 51 16 17 18 10 25 40 84 19 20 21 12 37 89 66 22 23 24 95 25 26 }

  12. 38 13 51 10 25 40 84 12 37 66 89 95

  13. template<typename K, typename V> 1 2 ________________________ _insert(TreeNode *& root, const K & key) { 3 4 5 6 7 8 9 10 root 11 12 38 13 14 15 13 51 16 17 18 10 25 40 84 19 20 21 12 37 89 66 22 23 24 95 25 26 }

  14. 38 13 51 10 25 40 84 12 37 66 89 95

  15. 38 13 51 10 25 40 84 12 37 66 89 95

  16. template<typename K, typename V> 1 2 ________________________ _remove(TreeNode *& root, const K & key) { 3 4 5 6 7 8 9 10 root 11 12 38 13 14 15 13 51 16 17 18 10 25 40 84 19 20 21 12 37 89 66 22 23 24 95 25 26 }

  17. 38 13 51 10 25 40 84 12 37 66 89 95 remove(40);

  18. 38 13 51 10 25 40 84 12 37 66 89 95 remove(25);

  19. 38 13 51 10 25 40 84 12 37 66 89 95 remove(10);

  20. 38 13 51 10 25 40 84 12 37 66 89 95 remove(13);

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