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Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration. Physical measures are typically reported with an error, a quantification of the uncertainty of the accuracy of the measurement. Whenever you perform mathematical operations involving these quantities you have also to propagate the uncertainty, so that the resulting number will also have an attached error to quantify the confidence about its accuracy. Measurements.jl relieves you from the hassle of propagating uncertainties coming from physical measurements, when performing mathematical operations involving them. The linear error propagation theory is employed to propagate the errors.
Features
- This library is written in Julia, a modern high-level, high-performance dynamic programming language designed for technical computing
- Support for most mathematical operations available in Julia standard library and special functions from SpecialFunctions.jl package
- Functional correlation between variables is correctly handled
- Support for arbitrary precision (also called multiple precision) numbers with uncertainties. This is useful for measurements with very low relative error
- Propagate uncertainty for any function of real arguments
- Define arrays of measurements and perform calculations with them
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