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alglib 4.2.0-2
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Source: alglib
Maintainer: Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Scott Howard <showard@debian.org>,
           Gudjon I. Gudjonsson <gudjon@gudjon.org>,
           Anton Gladky <gladk@debian.org>
Section: libs
Priority: optional
Build-Depends: cmake,
               debhelper-compat (= 13)
Standards-Version: 4.7.0
Vcs-Browser: https://salsa.debian.org/science-team/alglib
Vcs-Git: https://salsa.debian.org/science-team/alglib.git
Homepage: https://www.alglib.net/
Rules-Requires-Root: no

Package: libalglib-dev
Architecture: any
Multi-Arch: same
Section: libdevel
Depends: libalglib4.2 (= ${binary:Version}),
         ${misc:Depends}
Description: Development files for the alglib library
 ALGLIB is a cross-platform numerical analysis and data processing library.
 This package support C++. 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)
 .
 This package contains the development files (headers and documentation) for
 ALGLIB.

Package: libalglib4.2
Architecture: any
Multi-Arch: same
Depends: ${misc:Depends},
         ${shlibs:Depends}
Pre-Depends: ${misc:Pre-Depends}
Description: Numerical analysis and data processing library
 ALGLIB is a cross-platform numerical analysis and data processing library.
 This package support C++. 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)