Erica #14
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Erica #14
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CheezItMan
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Oct 17, 2019
CheezItMan
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CheezItMan
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Nice work, you fully applied dynamic programming to these solutions. Well done!
| # Space Complexity: ? | ||
| # Time Complexity: O(n), where n is the number of items in nums | ||
| # Space Complexity: O(1) | ||
| def max_sub_array(nums) |
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| last = hash[count - 1] | ||
| current = hash[last] + hash[count - last] | ||
| hash[count] = current | ||
| result.push(current) |
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Just curious why a hash, and why name it hash, instead of maybe sequence or something to indicate what it stores.
| @@ -1,7 +1,26 @@ | |||
| # Time complexity: O(n), where n is directly proportional to the size of num | |||
| # Space Complexity: O(n), where n is directly proportional to the size of num | |||
| def newman_conway(num) | |||
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