Hash Table Practice Submission @ Hanh-Water class #31
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CheezItMan
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May 28, 2021
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| # Time Complexity: O(n*mlog(m)) where n is the number of words and m is | ||
| # is the size of the longest word in string O(mlogm) is the result of the sorting | ||
| # Space Complexity: n * m (worst case has to create a new array/key for each string and takes m space to sort it) | ||
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| def grouped_anagrams(strings) |
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| # Build a requency hash table, sort by most to least | ||
| # Return only the nums = k | ||
| # Time Complexity: O(n) to build the frequency table, O(nlogn) to sort the frequency table | ||
| # Space Complexity: O(n) | ||
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| def top_k_frequent_elements(list, k) |
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👍 , you are sorting so that affects the time complexity
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Hash Table Practice
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