Question: Need help on JavaScript program please! 1 /2 100% 1 Asymptotic Complexity In the lectures, we said that logarithms with different bases don't affect the

Need help on JavaScript program please!

1 /2 100% 1 Asymptotic Complexity In the lectures, we said that logarithms with different bases don't affect the asymptotic complexity of an algorithm. Prove that O(log2 n) is the same as O(log1o n). Use the mathematical definition of O -do a formal proof, not just the intuition. Total 5 points. 2 Runtime Analysis Analyze the running time of the following recursive procedure as a function of n and find a tight big-O bound on the runtime for the function. You may assume that each assignment or division takes unit time. You do not need to provide a formal proof, but you should show your work: at a minimum, show the recurrence you derive for the runtime of the code, and then how you solved the recurrence. F4 F6 F7 F8 FVO F1

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