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CheezItMan
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Overall nice work, you hit the learning goals here. Well done.
| # Space Complexity - O(log n) | ||
| def super_digit(n) | ||
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| puts "super_digit("+n.to_s+")" |
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I suggest leaving these out when you submit an answer.
Suggested change
| puts "super_digit("+n.to_s+")" |
| else | ||
| sum = 0 | ||
| while ((n / 10.0) > 0) | ||
| puts " while" |
| return new_solution | ||
| end | ||
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| solutions = [last_solution, new_solution] |
| # because the while loop to create the concatenated number | ||
| # and the while loop adding the digits of the number are not nested. | ||
| # Space Complexity - O(log k * n) | ||
| def refined_super_digit(n, k) |
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This is the brute-force solution here. Can you think of a better way to do this with dynamic programming?
| # you only keep the last two solutions, so the solutions array does not grow, | ||
| # but you're still effectiving the stack by adding recursive calls | ||
| # Hint, you may want a recursive helper method | ||
| def fibonacci(n) |
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