binary search trees #34
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CheezItMan
reviewed
Dec 4, 2021
| if val == None: | ||
| val = key | ||
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| self.key = key | ||
| self.value = val | ||
| self.left = None | ||
| self.right = None | ||
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| def height(self): |
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Interesting putting this on the TreeNode class.
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| # Time Complexity: O(n) | ||
| # Space Complexity:O(n) | ||
| def preorder_helper(self, current, traversal_list): |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
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| # Time Complexity: | ||
| # Space Complexity: | ||
| def postorder(self): |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def inorder_helper(self, current, traversal_list): |
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| # Time Complexity: O(log N) | ||
| # Space Complexity: O(1) | ||
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| def add_helper(self, current_node, key, value): |
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The space complexity is O(log n) if the tree is balanced due to the recursive call stack.
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def find(self, key): |
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WOOF! I am struggling with trees! Slowly making some sense but maybe I can ask you about post order, I strugged with figuring out where to put the append....