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When the error becomes large in numerical stability analysis, it indicates that small perturbations or inaccuracies in the input data or intermediate computations can lead to significant deviations in the final results. This suggests that the numerical method being used is sensitive to changes, making it unreliable for precise calculations. Large errors can stem from issues like ill-conditioning of the problem or inappropriate choice of algorithms, highlighting the need for more robust numerical techniques to ensure accuracy and reliability in computations.

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5d ago

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