Absolute error is the difference between the exact value and the approximate value of a quantity, providing a measure of the accuracy of numerical results. It helps in understanding how much a computed value deviates from the true value, which is essential in assessing the reliability of various computational methods and data processing techniques. This concept is critical when considering error analysis, floating-point arithmetic, numerical integration methods, and numerical solutions to differential equations.
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