Branches - Brianna #36
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CheezItMan
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Feb 27, 2020
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(log n) | ||
| def add(key, value) |
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(log n) | ||
| def find(key) |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def inorder |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def preorder |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def postorder |
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(log n) | ||
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| def height_helper(current_node) |
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Since you have to visit each node, the time complexity is going to be O(n). However since the recursive call stack won't be bigger than the height or O(log n) for a balanced tree.
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