Question: A decrease - and - conquer algorithm reduces its input size by a rate of 3 in every iteration ( i . e . ,

A decrease-and-conquer algorithm reduces its input size by a rate of 3 in every iteration (i.e., from n to n/3 to n/9 and so on) with a cost of 10 elementary steps per iteration until the input size is less than 5000. At this point the algorithm solves the problem with 25,000,000 elementary steps. What is the asymptotic time complexity of this algorithm in Big-oh notation? Justify your answer.

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