Software for physics, geometry, finance, and probability often calls library functions like sin, cos, exp, and log. These library functions should be fast and accurate for science, engineering, and finance to work best. Unsurprisingly, lots of algorithms have been invented over the years for implementing these math functions, and new algorithms are still being discovered. For example, the RLIBM project—previously featured on this blog—has developed new tools for deriving approximating polynomial...