Sigma: Uncertainty Propagation for C++
Sigma is a header-only C++-17 library for uncertainty propagation, inspired by uncertainties (Lebigot, 2009) for Python and Measurements.jl(Giordano, 2016) for Julia.The library tracks the functional correlation between dependent and independent variables, ensuring that the uncertainty of the independent variables is properly considered in the calculation of the dependent variables' uncertainties.It is intended as a near drop-in replacement for the standard floating point types (aside from uncertainty specification), and aims to be easily interoperable with the existing standard types.
Authors
- Jonathan M. Waldrop (ORCID: https://orcid.org/0000-0003-0442-193X)
- Ryan M. Richard (ORCID: https://orcid.org/0000-0003-4235-5179)
Institutions
- Iowa State University (US)
- Ames National Laboratory (US)
Publication Details
- Journal
- The Journal of Open Source Software
- Published
- 2025-02-13
- DOI
- https://doi.org/10.21105/joss.07404
- Citations
- 1
- Primary Topic
- Healthcare Technology and Patient Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 2.01
Funders
- U.S. Department of Energy
- Iowa State University
- Laboratory Directed Research and Development