Theory vs. Reality: Why All O(n²) Algorithms Aren't Created Equal

While Big O notation provides a theoretical framework, real-world execution speeds vary significantly due to hardware constants and implementation overhead like memory swaps. This benchmark in C highlights why understanding these practical nuances is critical for developers optimizing performance-sensitive systems.