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Well done Ross, you hit the learning goals here. Nice work!
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| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| def heap_sort(list) | ||
| raise NotImplementedError, "Method not implemented yet..." | ||
| def heapsort(list) |
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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(1) | ||
| def heap_up(index) |
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Due to the recursion, the space complexity is O(log n)
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| # Time Complexity: o(log n) | ||
| # Space Complexity: o(1) | ||
| def add(key, value = key) |
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The space complexity is O(log n) due to recursion.
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| # find the min_child | ||
| min_i = left_i | ||
| if right_i < @store.length |
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Nice good catch checking to see if the right index is past the end of the array.
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| # 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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| # Time Complexity: o(log n) | ||
| # Space Complexity: o(1) | ||
| def remove() |
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Heaps Practice
Congratulations! You're submitting your assignment!
Comprehension Questions
heap_up&heap_downmethods useful? Why?