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Task: Explain why codes have time complexity of O(n) and O(logn). Also, explain why it does not have the other time complexities. Can use master
Task: Explain why codes have time complexity of O(n) and O(logn). Also, explain why it does not have the other time complexities. Can use master theorem to explain.
C++ Java Python3 C# > /* Function to calculate x raised to the power y in O(logn)*/ int power(int x, unsigned int y) int temp if( y == @) return 1; temp = power(x, y / 2); if (y % 2 == 0) return temp* temp; else return x temp* temp; } o // This code is contributed by Shubhamsinghie Time Complexity of optimized solution: 0(logn) Let us extend the pow function to work for negative y and float x. // C++ program to calculate pow(x,n) #includeStep by Step Solution
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