Amy M #15
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Amy M #15
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CheezItMan
reviewed
Oct 17, 2019
| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def max_sub_array(nums) |
| def newman_recursive(n) | ||
| return 1 if n <= 2 | ||
| return newman_recursive(newman_recursive(n - 1)) + newman_recursive(n - newman_recursive(n - 1)) |
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Take a look at the fibonacci notes in the textbook curriculum on algorithms. This is the same approach as the default recursive solution. Because you're not doing dynamic programming here (solving and saving subproblems for use later), you end up solving the same problems over and over again. This is actually O(33)
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| # Time complexity: ? | |||
| # Space Complexity: ? | |||
| # Time complexity: O(n) | |||
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