diff options
author | V3n3RiX <venerix@koprulu.sector> | 2022-10-20 07:59:50 +0100 |
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committer | V3n3RiX <venerix@koprulu.sector> | 2022-10-20 07:59:50 +0100 |
commit | 2eda3a3b8ebdb3fc8552feb6f49e466d3bc8e88c (patch) | |
tree | 69a469da2fa8c3f4920325ac5595300929f5d884 /sci-libs/alglib/metadata.xml | |
parent | 9ed0c42eb618229fa6f45e10155ee535e1f605a2 (diff) |
gentoo auto-resync : 20:10:2022 - 07:59:49
Diffstat (limited to 'sci-libs/alglib/metadata.xml')
-rw-r--r-- | sci-libs/alglib/metadata.xml | 52 |
1 files changed, 26 insertions, 26 deletions
diff --git a/sci-libs/alglib/metadata.xml b/sci-libs/alglib/metadata.xml index 8b20dc66d969..176cf7661da8 100644 --- a/sci-libs/alglib/metadata.xml +++ b/sci-libs/alglib/metadata.xml @@ -6,33 +6,33 @@ <name>Gentoo Science Project</name> </maintainer> <longdescription> -ALGLIB is a cross-platform numerical analysis and data processing library. It -supports several programming languages (C++, C#, Pascal, VBA) and several -operating systems (Windows, Linux, Solaris). ALGLIB features include: + ALGLIB is a cross-platform numerical analysis and data processing library. It + supports several programming languages (C++, C#, Pascal, VBA) and several + operating systems (Windows, Linux, Solaris). ALGLIB features include: -* Linear algebra (direct algorithms, EVD/SVD) -* Solvers (linear and nonlinear) -* Interpolation -* Optimization -* Fast Fourier transforms -* Numerical integration -* Linear and nonlinear least-squares fitting -* Ordinary differential equations -* Special functions -* Statistics (descriptive statistics, hypothesis testing) -* Data analysis (classification/regression, including neural networks) -* Multiple precision versions of linear algebra, interpolation optimization and -* others algorithms (using MPFR for floating point computations) + * Linear algebra (direct algorithms, EVD/SVD) + * Solvers (linear and nonlinear) + * Interpolation + * Optimization + * Fast Fourier transforms + * Numerical integration + * Linear and nonlinear least-squares fitting + * Ordinary differential equations + * Special functions + * Statistics (descriptive statistics, hypothesis testing) + * Data analysis (classification/regression, including neural networks) + * Multiple precision versions of linear algebra, interpolation optimization and + * others algorithms (using MPFR for floating point computations) -Why to choose ALGLIB? Because it is: + Why to choose ALGLIB? Because it is: -* portable. It can be compiled almost anywhere using almost any compiler -(see compatibility matrix for more info). -* easy to use. It supports many programming languages. If you use one language, -you don't need to study another (FORTRAN, for example) to compile and link an -external library. -* open source. It can be used for free under GPL 2+. -* suited for commercial users too. Those who want to use ALGLIB in commercial -applications can buy commercial license without copyleft requirement. -</longdescription> + * portable. It can be compiled almost anywhere using almost any compiler + (see compatibility matrix for more info). + * easy to use. It supports many programming languages. If you use one language, + you don't need to study another (FORTRAN, for example) to compile and link an + external library. + * open source. It can be used for free under GPL 2+. + * suited for commercial users too. Those who want to use ALGLIB in commercial + applications can buy commercial license without copyleft requirement. + </longdescription> </pkgmetadata> |