Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
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Updated
Jan 18, 2025 - Python
Error (or uncertainty) propagation is the practice of analyzing and accounting for the effect of numeric quantities' uncertainties on the results of functions that involve them.
When variables used in a function or mathematical operation have errors (due to measurement uncertainties, random fluctuations, sample variance, etc.), error propagation can be used to determine the resulting error of the function's output.
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
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