Fitting polynomials to data using IMSL C

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.

Posted: 9/22/2017
Tags: embedded analytics, IMSL, IMSL C Library, white paper

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