Let N be the length of nums. The following code is O(N**2). What optimization would make...
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Let N be the length of nums. The following code is O(N**2). What optimization would make it be O(N)? nums... # hidden def avg(values): return sum(values) / len(values) big_nums = [] total = sum(nums) # line A count = len(nums) # line B for x in nums: if x > sum(nums) / len(nums): # line C big_nums.append(x) # line D Let N be the length of nums. The following code is O(N**2). What optimization would make it be O(N)? nums... # hidden def avg(values): return sum(values) / len(values) big_nums = [] total = sum(nums) # line A count = len(nums) # line B for x in nums: if x > sum(nums) / len(nums): # line C big_nums.append(x) # line D
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To optimize the given code from ON2 to ON you can calculate the average ... View the full answer
Related Book For
Data Structures and Algorithms in Python
ISBN: 978-1118290279
1st edition
Authors: Michael T. Goodrich, Roberto Tamassia, Michael H. Goldwasser
Posted Date:
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