Egg Dropping Problem: Dynamic Programming Fundamentals & Understanding Subproblem Decomposition

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Question: You are given n eggs and specified a number of k floors. Write an algorithm to find the minimum number of drops is required to know the floor from which if the egg is dropped, it will break.

Note: There are more optimal solutions than this approach, but in a 45-minute interview they seem to me unreasonable to get. So I covered what one could reasonably deduce given they have never seen this question.
Complexities

Time: O( totalEggs * totalFloors^2 )

We will have totalEggs * totalFloors subproblems and spend O(totalFloors) time computing each subproblem.

Space: O( totalEggs * totalFloors )

We can upper bound to the number of subproblems which will be totalEggs * totalFloors subproblems (whether you include the base cases or not in the memoization table)

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