Charlotte:Space:Tree-Practice #34
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CheezItMan
reviewed
Sep 8, 2020
| @@ -6,5 +6,6 @@ gem 'minitest' | |||
| gem 'minitest-spec' | |||
| gem 'minitest-reporters' | |||
| gem "pry" | |||
| gem 'pry-nav' | |||
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(1) | ||
| def add_recursive(node, key, value) |
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(1) | ||
| def find_recursive(node, key) |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def inorder_recursive(node, list) |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def preorder_recursive(node, list) |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def postorder_recursive(node, list) |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n | ||
| def height_recursive(node) |
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👍 , the space complexity is right if the tree is unbalanced, if it's balanced, the space complexity is O(log n)
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