Underflow occurs in computing when a calculation produces a number that is smaller than the smallest representable value within a given floating-point format. This situation can lead to significant issues in numerical accuracy and error propagation, as values that are effectively zero can lead to misleading results in computations. Understanding underflow is crucial for error analysis in floating-point arithmetic, especially in scenarios where precision is critical.
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