A posteriori error estimators have been intensely studied in recent years, owing to their remarkable capacity to enhance both speed and accuracy in computing. By effectively estimating error, the door has been opened for the possibility of controlling the entire computational process through new adaptive algorithms. This new work explores the many issues surrounding the performance of error estimates as an independent measure of the quality of performance of algorithms.
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