Shaina Beth C16 Spruce #53
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kyra-patton
reviewed
Jul 27, 2022
| # Time Complexity: | ||
| # Space Complexity: | ||
| # Time Complexity: O(log n) | ||
| # Space Complexity: O(1) | ||
| def add(self, key, value = None): |
| # Space Complexity: | ||
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(1) | ||
| def find(self, key): |
| # Time Complexity: | ||
| # Space Complexity: | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def inorder(self): |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def preorder(self): |
| # Time Complexity: | ||
| # Space Complexity: | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def postorder(self): |
| return result | ||
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) |
There was a problem hiding this comment.
🪐 Space complexity will be O(n) because you make a recursive call on each subtree (each node can be considered a subtree)
| # # Time Complexity: | ||
| # # Space Complexity: | ||
| # # Time Complexity: O(n) | ||
| # # Space Complexity: O(n) | ||
| def bfs(self): |
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