C15 - Katrina K #33
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C15 - Katrina K #33
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CheezItMan
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Jan 21, 2022
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| def grouped_anagrams(strings): | ||
| """ This method will return an array of arrays. | ||
| Each subarray will have strings which are anagrams of each other | ||
| Time Complexity: ? | ||
| Space Complexity: ? | ||
| Time Complexity: O(n log m) | ||
| Space Complexity: O(n) | ||
| """ |
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👍 I would say either O(n) for time complexity if words are of limited length or O(n * m log m) if the words can be of arbitrary length because you're processing n words and sort each word of potentially m letters.
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| def top_k_frequent_elements(nums, k): | ||
| """ This method will return the k most common elements | ||
| In the case of a tie it will select the first occuring element. | ||
| Time Complexity: ? | ||
| Space Complexity: ? | ||
| Time Complexity: At least O(n) assuming that max() is an O(1) look up but I strongly suspect it isn't | ||
| Space Complexity: At least O(n + k) | ||
| (Not sure about the big O here becuase I'm not certain how max works in this case) | ||
| """ |
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👍 Because you have a loop going k times and each time you find a maximum of the n elements. I would say this is O(nk)
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