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author | Petr Vaněk <arkamar@atlas.cz> | 2022-10-19 10:42:00 +0200 |
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committer | Sam James <sam@gentoo.org> | 2022-10-20 04:52:32 +0100 |
commit | 342ee86e223ab264894fcb95a7ac642f4de01dc2 (patch) | |
tree | d8b61a5f10a339d601020b20970ee4ab2e91a82a /sci-libs/alglib/metadata.xml | |
parent | sci-libs/adolc: align longdescription opening and closing tags (diff) | |
download | gentoo-342ee86e223ab264894fcb95a7ac642f4de01dc2.tar.gz gentoo-342ee86e223ab264894fcb95a7ac642f4de01dc2.tar.bz2 gentoo-342ee86e223ab264894fcb95a7ac642f4de01dc2.zip |
sci-libs/alglib: align longdescription opening and closing tags
Signed-off-by: Petr Vaněk <arkamar@atlas.cz>
Signed-off-by: Sam James <sam@gentoo.org>
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> |