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CheezItMan
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Nice work Iris, you hit the learning goals here. Well done.
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| # Time Complexity: o(nlogn) | ||
| # Space Complexity: o(nlogn) | ||
| def heap_sort(list) |
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👍 The space complexity is O(n) since you are making a Heap with n elements.
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| # Time Complexity: O(logn) | ||
| # Space Complexity: O(logn) | ||
| def add(key, value = key) |
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| # Time Complexity: O(logn) | ||
| # Space Complexity: O(logn) | ||
| 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(logn) | ||
| def heap_up(idx) |
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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) | ||
| raise NotImplementedError, "Method not implemented yet..." | ||
| # Time complexity: O(logn) | ||
| # Space complexity: O(logn) | ||
| def heap_down(idx) |
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Heaps Practice
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Comprehension Questions
heap_up&heap_downmethods useful? Why?