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CheezItMan
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Overall well done Beauttie. Take a look at my comments and let me know what questions you have.
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| # Time complexity: O(n) | ||
| # Space complexity: O(n) | ||
| def factorial(n) |
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| # Time complexity: O(n^2) | ||
| # Space complexity: O(n^2) | ||
| def reverse(s) |
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| # Time complexity: O(n) | ||
| # Space complexity: O(n) | ||
| def reverse_inplace(s, first = 0, last = s.length - 1) |
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| # Time complexity: O(n) | ||
| # Space complexity: O(n) | ||
| def bunny(n) |
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| # Time complexity: O(n^2) | ||
| # Space complexity: O(n^2) | ||
| def nested(s) |
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👍 , but could you do this with O(n) space/time complexity?
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| # Time complexity: O(n^2) | ||
| # Space complexity: O(n^2) | ||
| def search(array, value) |
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👍 , but could you do this with O(n) space/time complexity?
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| # Time complexity: O(n) | ||
| # Space complexity: O(n) | ||
| def is_palindrome(s, first = 0, last = s.length - 1) |
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| # Time complexity: O(log n) | ||
| # Space complexity: O(log n) | ||
| def digit_match(n, m, num_matches = 0) |
lib/recursive-methods.rb
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| # Time complexity: O(n) | ||
| # Space complexity: O(n) | ||
| def fib(n) |
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👍 Nice getting it written, but the time complexity is O(2^n)!
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