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kyra-patton
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Jul 27, 2022
kyra-patton
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✨💫 Nice work Kaitlyn. I left some comments on space complexity. Let me know what questions you have.
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| # Time Complexity: | ||
| # Space Complexity: | ||
| # Time Complexity: O(log n) |
| # Time Complexity: | ||
| # Space Complexity: | ||
| # Time Complexity: O(log n) | ||
| # Space Complexity: O(n) |
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🪐 You aren't creating any new data structures here or holding recursive calls in memory, so space complexity would be O(1)
| # Space Complexity: | ||
| # Time Complexity: O(log n) | ||
| # Space Complexity: O(n) | ||
| def add(self, key, value = None): |
| # Space Complexity: | ||
| # Time Complexity: O(log n) | ||
| # Space Complexity: O(1) | ||
| def find(self, key): |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def inorder(self): |
| # Space Complexity: | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def preorder(self): |
| # Space Complexity: | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def postorder(self): |
| # Space Complexity: | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def height(self): |
| # Time Complexity: | ||
| # Space Complexity: | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) |
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🪐 Space complexity is going to be O(n) here because your recursive calls will make a call for every node (every subtree) in the tree.
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