fuego-blaine #28
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CheezItMan
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Jun 26, 2021
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def heapsort(list) |
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👍 Time complexity is O(n log n) because you run mamasHeap.add (which takes Log n time) n times. So n * log n = n log n
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(n) | ||
| def add(key, value = key) |
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(n) | ||
| def remove() |
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| # Time complexity: O(1) | ||
| # Space complexity: O(1) | ||
| def empty? |
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| # Time complexity: O(logn) | ||
| # Space complexity: O(n) | ||
| def heap_up(index) #index of array, key/val, look at key |
| end | ||
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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. | ||
| # moves it down the heap, if it's larger than its children. | ||
| def heap_down(index) |
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| ################################################ | ||
| # IGNORE ME! (spiraled) |
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Heaps Practice
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Comprehension Questions
heap_up&heap_downmethods useful? Why?