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Big-O Optimization Challenge

#algorithms #optimization #coding

Optimize a theoretical inefficient algorithm to reduce time complexity.

Given a naive implementation of a string matching algorithm with O(n*m) complexity, analyze the algorithmic bottlenecks. Refactor the logic to implement the Knuth-Morris-Pratt (KMP) algorithm or the Boyer-Moore algorithm. Provide a step-by-step explanation of the prefix function (or failure function) construction and prove how it reduces the worst-case time complexity to linear time.