For small, bounded inputs, what factor often leads to choosing a simpler algorithm over one with superior asymptotic elegance?
Answer
Simplicity and low constant factors
When input size N is bounded and small, the actual execution time is heavily influenced by constant factors. A simpler algorithm with low constant overhead can outperform a theoretically superior algorithm until the input reaches a specific crossover point.
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