A key requirement for customers migrating a workload from an existing application with a point-and-click interface to a more automated program written in C++, is fitting polynomials to data.
This paper walks through different options for fitting polynomials to data using the IMSL C Numerical Library. Most of the functions examined are available in the other IMSL language flavors of Java, Fortran, and C# for .NET as well. A short discussion and cross-reference table is included at the end to map the functions for readers interested in the other language options.
Tags: embedded analytics, IMSL, IMSL C Library, white paper