If robustness is achieved by abstracting away machine-specific constants, as in Cook-Karp reductions, then algorithmic analysis achieves analogous robustness via asymptotic notation.

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Abstracting away(in mathematical and computational thinking): Removing or ignoring specific details so you can focus on the bigger picture or general patterns that matter most.
Asymptotic notation(in computer science and algorithm design): A mathematical shorthand (like Big O) that describes how an algorithm's performance changes as the input size grows very large, ignoring unimportant details.
Cook-Karp reductions(as used in computational complexity theory): A method in computer science for transforming one computational problem into another while keeping the time it takes to solve roughly the same; named after Stephen Cook and Richard Karp who developed this concept.
Machine-specific constants(in algorithm analysis): Numbers or values that depend on the particular computer or system being used, like how fast it runs or how much memory it has.

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