stability in numerical methods
Stability in numerical methods refers to the ability of an algorithm to produce consistent and accurate results, even when small errors or uncertainties are present in the initial conditions or in the calculation process. A stable method ensures that these errors do not accumulate and significantly impact the final outcome, allowing for reliable and dependable calculations.
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