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2014年12月23日 · i've been reviewing all the stuff i've learned, and found out that this website, and it is saying the worst case of searching in Binary Tree has O(n) complexity. So far i've known, in Binary search tree is a sorted tree that we can search with binary search which has O(log n)-log base 2 probably.

Remember, BigO is an upper bound. As long as a function falls within that bound, it is considered to be inside the BigO of that function. Worst-case is more restrictive than BigO. As an example, think about searching for hotels.

2013年8月3日 · Big-O notation is meant to describe how an algorithm's execution time (or memory consumption, or...) scales when the amount of data (or whatever N describes) increases towards infinity. It's not meant to provide a precise runtime when given specific values of N. With low values of N, constant factors tend to dominate anyway.

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Often the number of calls is big O(bd) where b is the branching factor (worst case number of recursive calls for one execution of the function) and d is the depth of the tree (the longest path from the top of the tree to a base case). The branching factor is 2. The depth is n where n is the number on which the function is called.

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