Water - Beatrice #25
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Water - Beatrice #25
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CheezItMan
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Apr 15, 2021
CheezItMan
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CheezItMan
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Well done Beatrice, you hit the learning goals here. Nice work. I had a few comments on time/space complexities, but otherwise very well done. Let me know if you have any questions.
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(n) - call stack | ||
| def add(key, value) |
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👍 The time & space complexities are both O(log n) if the tree is balanced and O(n) if unbalanced.
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(n) - call stack | ||
| def find(key, current = @root) |
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👍 The time & space complexities are both O(log n) if the tree is balanced and O(n) if unbalanced.
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def inorder(current = @root, answer = []) |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def preorder(current = @root, answer = []) |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def postorder(current = @root, answer = []) |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def height(current = @root) |
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👍 The time complexity here is right, but the space complexity is O(log n) if the tree is balanced and O(n) if it's not.
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