Analyze the following pseudocode for a data processing function. Determine its Big O notation for time and space complexity in the worst-case scenario. Identify specific bottlenecks related to cache misses and redundant computations. Refactor the algorithm to improve efficiency, aiming for a time complexity of O(n log n) or better, while minimizing space overhead. Explain the trade-offs introduced by your optimization.