Unbalanced Binary Search Tree Balancing Function
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A Unbalanced Binary Search Tree Balancing Function is a software function designed to convert an unbalanced Binary Search Tree into a balanced one.
- Context:
- It can be a sub-task in a Binary Search Tree Optimization Software Programming Task.
- It can be useful in scenarios that require frequent insertion and deletion operations in a Binary Search Tree.
- It can follow algorithms such as AVL Tree Balancing Algorithm or Red-Black Tree Balancing Algorithm.
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- Example(s):
- A function that takes an unbalanced Binary Search Tree as input and returns an AVL Tree.
- A function that uses Red-Black Tree properties to balance an existing unbalanced Binary Search Tree.
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- Counter-Example(s):
- A function that only inserts elements into a Binary Search Tree without balancing it.
import heapq
def bst_to_heap(bst_elements): heap = [] for elem in bst_elements: heapq.heappush(heap, elem) return heap
- A function that deletes elements from a Binary Search Tree but leaves it unbalanced.
import heapq
def balance_bst_with_heap(bst_elements): heap = [] for elem in bst_elements: heapq.heappush(heap, elem) return heap
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- A function that only inserts elements into a Binary Search Tree without balancing it.
- See: Binary Search Tree, Binary Tree Balancing Algorithms, Heapq.
References
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