numerical stability

Numerical stability refers to the ability of an algorithm or computational method to deliver accurate and reliable results even when dealing with small errors in input data or during intermediate calculations. A numerically stable approach ensures that errors do not accumulate rapidly and cause significant deviations from the true solution.

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