Page 137 - Data Structures Handout_Neat

complexity, and stability, and we discussed trade-offs in choosing the right algorithm. We

then explored applications of sorting in databases, searching optimization, scheduling, and

real-time systems, demonstrating its practical importance. Finally, we addressed the
limitations of sorting, including performance bottlenecks, memory constraints, and

challenges in large-scale systems. Overall, sorting algorithms form the backbone of efficient

data processing. Mastering them provides a strong foundation for understanding more

advanced algorithms and system design.

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