Shirley #27
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added 2 commits
September 6, 2019 21:26
CheezItMan
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Sep 17, 2019
CheezItMan
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CheezItMan
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Nice work, I like how you did the bonus BFS method. Do note that recursion does impact space complexity. Otherwise this is outstanding!
| # Time Complexity: | ||
| # Space Complexity: | ||
| # Time Complexity: O(logn) | ||
| # Space Complexity: O(1) |
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Since you're using a recursive add_node helper method, you are using the system stack and this impacts space complexity. Since you are making O(log n) recursive calls on a balanced tree this would have a space complexity of O(log n).
| return 0 unless node | ||
| left_counter = height_counter(node.left) | ||
| right_counter = height_counter(node.right) | ||
| counter = left_counter > right_counter ? left_counter : right_counter |
| i += 1 | ||
| current = array[i] | ||
| end | ||
| return array.map do |node| |
| # Time Complexity: | ||
| # Space Complexity: | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(2n) |
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In Big-O we drop the coefficient so this should be Space complexity of O(n)
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