Ida - Fire - Binary Search Trees #35
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CheezItMan
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May 20, 2021
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| # Time Complexity: o(n) or (log n)? | ||
| # Space Complexity: o(n) | ||
| def add(key, value = '') |
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👍 This works, the time complexity and space complexity are O(log n) if the tree is balanced and O(n) if it's not.
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| # Time Complexity: o(n) or (log n)? | ||
| # Space Complexity: o(n) | ||
| def find(key) |
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👍 See the add method for time/space complexity.
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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(n) | ||
| # Space Complexity: o(n) | ||
| def height # somewhere between log_2(N+1) and N |
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