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CheezItMan
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Oct 7, 2020
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Nice work Haben, you hit the learning goals here. Well done.
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| # Time Complexity: O(n log(n)) | ||
| # Space Complexity: O(n) | ||
| def heapsort(list) |
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| # maintaining the heap structure | ||
| # Time Complexity: O(log(n)) | ||
| # Space Complexity: O(1) | ||
| def remove() |
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👍 Due to the recursion the space complexity is O(log n) due to the call stack.
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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 add(key, value = key) |
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👍 Due to the recursion the space complexity is O(log n) due to the call stack.
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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) due to the call stack.
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| # Time complexity: O(log(n)) | ||
| # Space complexity: O(1) | ||
| def heap_down(index) |
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👍 Due to the recursion the space complexity is O(log n) due to the call stack.
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Heaps Practice
Congratulations! You're submitting your assignment!
Comprehension Questions
heap_up&heap_downmethods useful? Why?