Conceptual

Selection Sort Implementation in Python

The core principle identified is that a hybrid algorithmic structure combining nested iteration phases can functionally decompose into distinct sorting mechanisms: insertion sort followed by selection sort steps. In this specific theoretical construct, only the initial phase of finding and reordering elements within an increasing subsequence performs functional transformation, effectively implementing Insertion Sort logic while subsequent comparison-based swaps become redundant operations that merely shift indices without altering array order. This demonstrates how modifying loop bounds in nested structures alters algorithmic behavior from pure selection sort to a composite mechanism dominated by insertion principles.