The best case scenarios of the time and space complexity of binary search is simply the time complexity of the binary search algorithm which is O(log n).
However, this balanced scenarios complexity would be O(1) when the central index would directly match the desired value.
On the other end, for an unbalanced scenarios of binary search tree, the running time of a binary search would be O(n). which will represent a linked list
The binary search tree simply refers to an advanced algorithm used for analyzing the node, its left and right branches, which are eventually modeled in a tree structure and returning the value.
So therefore, the best case scenarios of the time and space complexity of binary search is simply the time complexity of the binary search algorithm which is O(log n).
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