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CheezItMan
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May 20, 2021
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Great work Alice, I did leave one comment on the max subarray, but it all works. Well done.
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| while i < nums.length do | ||
| array_of_max_sum_ending_in_i[i] = [array_of_max_sum_ending_in_i[i - 1] + nums[i], nums[i]].max | ||
| i += 1 | ||
| end |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def max_sub_array(nums) |
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This works, but you can actually do it without the array. You only need to keep track of the max subarray ending at the current index and the max subarray seen so far.
It's kind of like the fibonacci problem.
That said your time complexity is great.
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| # Time complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def newman_conway(num) |
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Thanks for reviewing it! :)