Time - Yesenia #19
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Time - Yesenia #19
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CheezItMan
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Oct 1, 2020
CheezItMan
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CheezItMan
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Nice work Yesenia, you hit the learning goals here. Do take a look at my notes on time complexity with Heapsort. Otherwise well done.
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
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| def heapsort(list) |
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You are adding n items to a heap and each add takes log n time. Then you remove with the same time complexity.
So your time complexity is O(n log n), which is as fast as you can sort a generic list.
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(log n) | ||
| def add(key, value = key) |
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(log n) | ||
| def remove() |
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| # Time complexity: O(1) | ||
| # Space complexity: O(1) | ||
| def empty? |
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| # Time complexity: O(log n) | ||
| # Space complexity: O(log n) | ||
| def heap_up(index) |
| # This helper method takes an index and | ||
| # moves it up the heap if it's smaller | ||
| # than it's parent node. | ||
| def heap_down(index) |
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Heaps Practice
Congratulations! You're submitting your assignment!
Comprehension Questions
heap_up&heap_downmethods useful? Why?