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Sorting Basics

The O(n²) simple sorts vs the O(n log n) fast ones, and why on embedded the simple, in-place insertion sort often beats the asymptotically-better choice at small n.

25 min read

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5 interview questions on this topic

Each one opens a full worked answer.

Why might you choose insertion sort, an O(n²) algorithm, on an embedded system?What does it mean for a sort to be stable, and when does it matter?Compare quicksort, mergesort, and heapsort for an embedded context.Is there a comparison sort faster than O(n log n)?When should you not sort at all?

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Sorting Basics | EmbeddedPrep.io