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Heaps Practice

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Comprehension Questions

Question Answer
How is a Heap different from a Binary Search Tree? A heap is a complete binary tree, meaning that the last row is filled left to right with the proceeding rows being completely full.
Could you build a heap with linked nodes? Yes--but just because you can, doesn't mean you should!
Why is adding a node to a heap an O(log n) operation? Because the tree is split, so you only need to navigate through a fraction of the nodes and not every node.
Were the heap_up & heap_down methods useful? Why? Yes! Because it helped to make sure that the heap was in order as required.

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Great work. You hit all the learning goals here. Well done. Take a look at my comments and let me know if you have any questions.

Comment on lines +2 to +3
# Time Complexity: O(n log n) where n is the number of items in the list
# Space Complexity: O(n) where n is the number of items in the list

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👍

# Time Complexity: ?
# Space Complexity: ?
# Time Complexity: O(log n) where n is the number of items in the heap
# Space Complexity: O(1)

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Since your heap_up method is recursive you have to consider the call stack in terms of the space complexity.

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