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CheezItMan
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May 6, 2021
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| # Time Complexity: O(n log n) | ||
| # Space Complexity: O(n) | ||
| def heapsort(list) |
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(log n) - n is the number of elemnts in the heap | ||
| 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) |
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| if left_child < @store.length && @store[left_child].key < @store[min_child].key | ||
| swap(min_child, left_child) | ||
| end | ||
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| if right_child < @store.length && @store[right_child].key < @store[min_child].key | ||
| swap(min_child, right_child) | ||
| end |
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This works, but you could end up doing more swaps than needed.
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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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Heaps Practice
Congratulations! You're submitting your assignment!
Comprehension Questions
heap_up&heap_downmethods useful? Why?