Error estimation refers to the process of quantifying the uncertainty or potential inaccuracy of a numerical approximation or computation. This is crucial for understanding how close a numerical result is to the true value, allowing for better decision-making in data analysis and computational tasks. In contexts such as numerical integration, it helps assess the reliability of results and informs choices on methods and parameters to achieve desired accuracy.
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