Lectures (Video)
- 1. Introduction to Course
- 2. Basics of C++
- 3. C++ Libraries
- 4. File IO, OO Features
- 5. Vector, Grid, Stack, Queue Classes
- 6. Map Class
- 7. Plot Functions and Abstract Data Types
- 8. Recursion
- 9. Fractal Code
- 10. Permute and Subset Code
- 11. Sudoku Code
- 12. Pointers
- 13. Linked List
- 14. Algorithm Analysis
- 15. Sorting
- 16. Quicksort
- 17. Callback, OO Programming
- 18. Abstract Data Types
- 19. Template Implementation
- 20. Live Coding
- 21. Buffer
- 22. Binary Search Tree
- 23. Graphs
- 24. Hashing
- 25. Lexicon Case Study
- 26. Runtime Performance
- 27. Guest Lecturer
Programming Abstractions - Lecture 22
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Lecture 22 - Binary Search Tree
Map as Vector, A different Strategy: Binary Search Tree, Trees in General, Binary Search Tree for Numbers, Operating on Trees, Tree Traversals at Work, Implementing Map as Tree, Map - getValue(), Important Syntactical Advice, Adding to a BST, Trace treeEnter(), Passing Nodes by Reference, Evaluate Map as a Tree, Impact of the Height of the Tree, Degenerate Trees, What to do About Unbalanced Trees?
Julie Zelenski
CS106B Programming Abstractions (Stanford University: Stanford Engineering Everywhere) http://see.stanford.edu Date accessed: 2008-12-04 License: Creative Commons Attribution 3.0 |
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