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CheezItMan
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Nice work Alice, you hit the learning goals here. Well done.
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| # Time Complexity: O(n log n) | ||
| # Space Complexity: O(n) | ||
| def heap_sort(list) |
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(1) | ||
| def add(key, value = key) |
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Since heap_up is recursive the space complexity is O(log n)
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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) |
CheezItMan
reviewed
May 20, 2021
| # 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?