Error tolerance refers to the acceptable range of error in numerical computations, especially when approximating solutions to mathematical problems. This concept is crucial in adaptive quadrature, as it helps determine how finely a function needs to be sampled to achieve a desired level of accuracy. By defining what is considered an acceptable error, one can dynamically adjust the algorithm's approach to ensure efficiency while meeting accuracy requirements.
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