Error bounds refer to the limits within which the true error of an approximation is expected to fall. They help quantify the accuracy of numerical methods and ensure that solutions remain within acceptable ranges of error, making them crucial for understanding how errors propagate, converge, and affect stability in various numerical algorithms.
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