Jabarkan Software dari Analisis numeris dalam bahasa sunda

Since the late twentieth century, most algorithms are implemented and run on a computer. The Netlib repository contains various collections of software routines for numerical problems, mostly in Fortran and C. Commercial products implementing many different numerical algorithms include the IMSL and NAG libraries; a free alternative is the GNU Scientific Library.

MATLAB is a popular commercial programming language for numerical scientific calculations, but there are commercial alternatives such as S-PLUS and IDL, or semi-free alternative Scilab as well as free and open source alternatives such as FreeMat, GNU Octave (similar to Matlab), IT++ (a C++ library), R (similar to S-PLUS) and certain variants of Python. Performance varies widely: while vector and matrix operations are usually fast, scalar loops vary in speed by more than an order of magnitude.

Many computer algebra systems such as Mathematica or Maple (free software systems include SAGE, Maxima, Axiom, and Yacas), can also be used for numerical computations. However, their strength typically lies in symbolic computations.  Also, any spreadsheet software can be used to solve simple problems relating to numerical analysis.