Part 2 - From $O(N^2)$ to $O(N)$ with Zero Memory Churn: A Go Optimization Story
In my previous post, I optimized a slice difference algorithm ($O(n+m)$) by pre-allocating memory. But as a Software Architect, I immediately asked myself: Can I do this with zero extra memory for the result? The answer is an in-place algorithm, implemented using the two-pointer technique. In high-performance systems and big data pipelines, this approach is often the gold standard because it minimizes memory churn and reduces pressure on the garbage collector. ...
