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authorPetr Vaněk <arkamar@atlas.cz>2022-10-19 10:42:00 +0200
committerSam James <sam@gentoo.org>2022-10-20 04:52:32 +0100
commit342ee86e223ab264894fcb95a7ac642f4de01dc2 (patch)
treed8b61a5f10a339d601020b20970ee4ab2e91a82a /sci-libs/alglib
parentsci-libs/adolc: align longdescription opening and closing tags (diff)
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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')
-rw-r--r--sci-libs/alglib/metadata.xml52
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>