- Binary tree
- Data Structure and Algorithms - Tree
- Tree Traversal
- Binary Search Tree
- Data structures: Binary Tree
- What is a binary tree
- What is the difference between a binary tree and a Binary Search Tree
- What is the possible gain in terms of time complexity compared to linked lists
- What are the depth, the height, the size of a binary tree
- What are the different traversal methods to go through a binary tree
- What is a complete, a full, a perfect, a balanced binary tree
Task | File |
---|---|
0. New node | 0-binary_tree_node.c |
1. Insert left | SOON |
2. Insert right | SOON |
3. Delete | SOON |
4. Is leaf | SOON |
5. Is root | SOON |
6. Pre-order traversal | SOON |
7. In-order traversal | SOON |
8. Post-order traversal | SOON |
9. Height | SOON |
10. Depth | SOON |
11. Size | SOON |
12. Leaves | SOON |
13. Nodes | SOON |
14. Balance factor | SOON |
15. Is full | SOON |
16. Is perfect | SOON |
17. Sibling | SOON |
18. Uncle | SOON |
19. Lowest common ancestor | SOON |
20. Level-order traversal | SOON |
21. Is complete | SOON |
22. Rotate left | SOON |
23. Rotate right | SOON |
24. Is BST | SOON |
25. BST - Insert | SOON |
26. BST - Array to BST | SOON |
27. BST - Search | SOON |
28. BST - Remove | SOON |
29. Big O #BST | SOON |
30. Is AVL | SOON |
31. AVL - Insert | SOON |
32. AVL - Array to AVL | SOON |
33. AVL - Remove | SOON |
34. AVL - From sorted array | SOON |
35. Big O #AVL Tree | SOON |
36. Is Binary heap | SOON |
37. Heap - Insert | SOON |
38. Heap - Array to Binary Heap | SOON |
39. Heap - Extract | SOON |
40. Heap - Sort | SOON |
41. Big O #Binary Heap | SOON |