Error tolerance is the acceptable range of error in numerical computations or algorithms, defining how much deviation from the exact result is permissible without significantly impacting the outcome. This concept is crucial as it helps balance the trade-off between computational accuracy and efficiency, particularly in iterative methods and numerical integration. Understanding error tolerance is essential for ensuring that results are reliable while optimizing performance.
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