Leaves - Georgina #18
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CheezItMan
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Mar 18, 2020
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| # Time Complexity: O(nlogn) | ||
| # Space Complexity: O(n) | ||
| def heapsort(list) |
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| # Time Complexity: O(logn) | ||
| # Space Complexity: 0(1) | ||
| def add(key, value = key) |
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| # Time Complexity: O(logn) | ||
| # Space Complexity: O(1) | ||
| 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(1) | ||
| def heap_up(index) |
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Since this method is recursive, you have O(log n) space complexity. You have to account for the system stack.
| @store[index] = @store[parent] | ||
| @store[parent]= temp | ||
| heap_up(parent) | ||
| end | ||
| 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. | ||
| def heap_down(index) |
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Heaps Practice
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Comprehension Questions
heap_up&heap_downmethods useful? Why?