Space - Lak #17
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Space - Lak #17
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CheezItMan
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Sep 2, 2020
CheezItMan
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CheezItMan
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Nice work Lak, you hit the learning goals here. Well done. Take a look at my comments and let me know what questions you have.
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(1) | ||
| def add(key, value) |
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👍 , the time complexity is O(log n) assuming the tree is balanced.
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(1) | ||
| def find(key) |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
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| def inorder(current = @root, array = []) |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def preorder(current = @root, array = []) |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
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| def postorder(current = @root, array = []) |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def height(current = @root) |
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👍 The space complexity is O(log n) assuming the tree is balanced and O(n) if it's unbalanced.
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