Leaves-Yasmin #25
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CheezItMan
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Feb 25, 2020
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| # Space Complexity: | ||
| # Space Complexity: o(n) | ||
| def add(key, value) |
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The space/time complexity is O(log n) if the tree is balanced and O(n) if it's not.
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| # Space Complexity: o(n) | ||
| def find(key) |
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The space/time complexity is O(log n) if the tree is balanced and O(n) if it's not.
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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 |
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Because your recursive stack depends on the height of the tree the space complexity is O(log n) for balanced trees and O(n) for unbalanced trees.
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