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Algorithm Optimization Challenge

#coding #algorithms #optimization

Optimize a given inefficient algorithm for space and time complexity.

Analyze the following O(n^2) algorithm snippet: for i in 0 to n: for j in i+1 to n: if arr[i] + arr[j] == target: return [i, j]. Refactor this logic to achieve O(n) time complexity using a hash map. Explain the trade-offs made during the optimization process regarding memory usage and CPU cycles.