OptiVec for Linux GCC / CLang 8.0.1 freeware

... safety. More than 3500 functions for math, statistics, analysis, signal processing, matrix operations, curve fitting, etc. For Linux with GCC or CLang. ...

Author OptiCode - Dr Martin Sander Software Dev
Released 2020-08-28
Filesize 5.71 MB
Downloads 121
OS Linux, Linux Console, Linux Gnome, Linux GPL, Linux Open Source
Installation Install Only
Keywords vector, matrix, library, function, math, programming, curve fitting, inversion, linear systems
Users' rating
(4 rating)
OptiVec for Linux GCC / CLangComponents & LibrariesLinux, Linux Console, Linux Gnome, Linux GPL, Linux Open Source
OptiVec for Linux GCC / CLang - regression analysis Freeware Download Notice

OptiVec for Linux GCC / CLang Free Download - we do not host any OptiVec for Linux GCC / CLang torrent files or links of OptiVec for Linux GCC / CLang on rapidshare.com, depositfiles.com, megaupload.com etc. All OptiVec for Linux GCC / CLang download links are direct OptiVec for Linux GCC / CLang download from publisher site or their selected mirrors.

OptiVec for Linux GCC / CLang freeware - The Latest User Reviews
OptiVec for Linux GCC / CLang freeware - The Latest Versions History
8.0.1 Aug 28, 2020 New Release This is a new product - the Linux "brother" of the OptiVec libraries for various Windows compilers.

Most popular Components & Libraries freeware downloads

Accord.NET Framework

3.3.0 freeware download

... vision. It includes several methods for statistical analysis, such as Principal Component Analysis, Linear Discriminant Analysis, Partial Least Squares, Kernel Principal Component Analysis, Kernel Discriminant Analysis, Logistic and Linear Regressions and ...

OptiVec for GCC

8.0.1 freeware download

... wide range of model functions from simple linear regression to non-linear models with multiple data sets. 5. Statistics. 6. Analysis (derivatives, integrals, extrema, interpolation). 7. Graphical representation of ...

OptiVec for Linux GCC / CLang

8.0.1 freeware download

... wide range of model functions from simple linear regression to non-linear models with multiple data sets. 5. Statistics. 6. Analysis (derivatives, integrals, extrema, interpolation). 7. Complex number math, ...