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@ -689,21 +689,19 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input
- basic tree construction - basic tree construction
- traversal - traversal
- manipulation algorithms - manipulation algorithms
- BFS (breadth-first search) - [ ] [BFS(breadth-first search) and DFS(depth-first search)](https://www.youtube.com/watch?v=uWL6FJhq5fM)
- [MIT (video)](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13) - BFS notes:
- level order (BFS, using queue) - level order (BFS, using queue)
time complexity: O(n) - time complexity: O(n)
space complexity: best: O(1), worst: O(n/2)=O(n) - space complexity: best: O(1), worst: O(n/2)=O(n)
- DFS (depth-first search) - DFS notes:
- [MIT (video)](https://www.youtube.com/watch?v=AfSk24UTFS8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=14) - time complexity: O(n)
- notes: - space complexity:
time complexity: O(n)
space complexity:
best: O(log n) - avg. height of tree best: O(log n) - avg. height of tree
worst: O(n) worst: O(n)
- inorder (DFS: left, self, right) - inorder (DFS: left, self, right)
- postorder (DFS: left, right, self) - postorder (DFS: left, right, self)
- preorder (DFS: self, left, right) - preorder (DFS: self, left, right)
- ### Binary search trees: BSTs - ### Binary search trees: BSTs
- [ ] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - [ ] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6)
@ -852,7 +850,11 @@ Graphs can be used to represent many problems in computer science, so this secti
- Familiarize yourself with each representation and its pros & cons - Familiarize yourself with each representation and its pros & cons
- BFS and DFS - know their computational complexity, their tradeoffs, and how to implement them in real code - BFS and DFS - know their computational complexity, their tradeoffs, and how to implement them in real code
- When asked a question, look for a graph-based solution first, then move on if none. - When asked a question, look for a graph-based solution first, then move on if none.
- [ ] MIT(videos):
- [ ] [Breadth-First Search](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13)
- [ ] [Depth-First Search]((https://www.youtube.com/watch?v=AfSk24UTFS8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=14)
- [ ] Skiena Lectures - great intro: - [ ] Skiena Lectures - great intro:
- [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11)
- [ ] [CSE373 2012 - Lecture 12 - Breadth-First Search (video)](https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12) - [ ] [CSE373 2012 - Lecture 12 - Breadth-First Search (video)](https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12)