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Source: suitesparse
Section: math
Priority: optional
Maintainer: Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: S├ębastien Villemot <sebastien@debian.org>
Build-Depends: debhelper (>= 10), gfortran, libblas-dev, liblapack-dev,
 libmetis-dev
Standards-Version: 3.9.8
Homepage: http://www.suitesparse.com
Vcs-Git: https://anonscm.debian.org/git/debian-science/packages/suitesparse.git
Vcs-Browser: https://anonscm.debian.org/git/debian-science/packages/suitesparse.git

Package: libamd2
Section: libs
Architecture: any
Multi-Arch: same
Pre-Depends: ${misc:Pre-Depends}
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: approximate minimum degree ordering library for sparse matrices
 Suitesparse is a collection of libraries for computations involving
 sparse matrices.
 .
 The AMD library provides a set of routines for pre-ordering sparse matrices
 prior to Cholesky or LU factorization, using the "Approximate Minimum Degree
 ordering" algorithm.

Package: libbtf1
Section: libs
Architecture: any
Multi-Arch: same
Pre-Depends: ${misc:Pre-Depends}
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: permutation to block triangular form library for sparse matrices
 Suitesparse is a collection of libraries for computations involving
 sparse matrices.
 .
 The BTF library is a software package for permuting a matrix into Block upper
 Triangular Form. It includes a maximum transversal algorithm, which finds a
 permutation of a square or rectangular matrix so that it has a zero-free
 diagonal (if one exists); otherwise, it finds a maximal matching which
 maximizes the number of nonzeros on the diagonal. The package also includes a
 method for finding the strongly connected components of a graph. These two
 methods together give the permutation to block upper triangular form.

Package: libcamd2
Section: libs
Architecture: any
Multi-Arch: same
Pre-Depends: ${misc:Pre-Depends}
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: symmetric approximate minimum degree library for sparse matrices
 Suitesparse is a collection of libraries for computations involving
 sparse matrices.
 .
 The CAMD library provides a set of routines for pre-ordering sparse matrices
 prior to Cholesky or LU factorization, using the approximate minimum degree
 ordering algorithm with optional ordering constraints.

Package: libcolamd2
Section: libs
Architecture: any
Multi-Arch: same
Pre-Depends: ${misc:Pre-Depends}
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: column approximate minimum degree ordering library for sparse matrices
 Suitesparse is a collection of libraries for computations involving
 sparse matrices.
 .
 The COLAMD library implements the "COLumn Approximate Minimum Degree ordering"
 algorithm. It computes a permutation vector P such that the LU factorization
 of A (:,P) tends to be sparser than that of A. The Cholesky factorization of
 (A (:,P))'*(A (:,P)) will also tend to be sparser than that of A'*A.

Package: libccolamd2
Section: libs
Architecture: any
Multi-Arch: same
Pre-Depends: ${misc:Pre-Depends}
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: constrained column approximate library for sparse matrices
 Suitesparse is a collection of libraries for computations involving
 sparse matrices.
 .
 The CCOLAMD library implements the "Constrained COLumn Approximate Minimum
 Degree ordering" algorithm. It computes a permutation vector P such that the
 LU factorization of A (:,P) tends to be sparser than that of A. The Cholesky
 factorization of (A (:,P))'*(A (:,P)) will also tend to be sparser than that
 of A'*A.

Package: libcholmod3
Section: libs
Architecture: any
Multi-Arch: same
Pre-Depends: ${misc:Pre-Depends}
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: sparse Cholesky factorization library for sparse matrices
 Suitesparse is a collection of libraries for computations involving
 sparse matrices.
 .
 The CHOLMOD library provides a set of routines for factorizing sparse
 symmetric positive definite matrices of the form A or AA', updating/downdating
 a sparse Cholesky factorization, solving linear systems, updating/downdating
 the solution to the triangular system Lx=b, and many other sparse matrix
 functions for both symmetric and unsymmetric matrices. Its supernodal Cholesky
 factorization relies on LAPACK and the Level-3 BLAS, and obtains a substantial
 fraction of the peak performance of the BLAS.

Package: libcxsparse3
Section: libs
Architecture: any
Multi-Arch: same
Pre-Depends: ${misc:Pre-Depends}
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: concise sparse matrix library
 Suitesparse is a collection of libraries for computations involving
 sparse matrices.
 .
 The CXSparse library provides several matrix algorithms. The focus is on direct
 methods; iterative methods and solvers for eigenvalue problems are beyond the
 scope of this package.
 .
 The performance of the sparse factorization methods in CXSparse will not be
 competitive with UMFPACK or CHOLMOD, but the codes are much more concise and
 easy to understand. Other methods are competitive.

Package: libklu1
Section: libs
Architecture: any
Multi-Arch: same
Pre-Depends: ${misc:Pre-Depends}
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: circuit simulation sparse LU factorization library
 Suitesparse is a collection of libraries for computations involving
 sparse matrices.
 .
 The KLU library provides routines for LU factorization, primarily for circuit
 simulation.

Package: libldl2
Section: libs
Architecture: any
Multi-Arch: same
Pre-Depends: ${misc:Pre-Depends}
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: simple LDL' factorization library for sparse matrices
 Suitesparse is a collection of libraries for computations involving
 sparse matrices.
 .
 The LDL library provides routines for sparse LDL' factorization and solving.
 These routines are not terrifically fast (they do not use dense matrix
 kernels), but the code is very short and concise. The purpose is to illustrate
 the algorithms in a very concise and readable manner, primarily for
 educational purposes.

Package: libumfpack5
Section: libs
Architecture: any
Multi-Arch: same
Pre-Depends: ${misc:Pre-Depends}
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: sparse LU factorization library
 Suitesparse is a collection of libraries for computations involving
 sparse matrices.
 .
 The UMFPACK library provides a set of routines solving sparse linear systems
 via LU factorization.

Package: librbio2
Section: libs
Architecture: any
Multi-Arch: same
Pre-Depends: ${misc:Pre-Depends}
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: read/write sparse matrices in Rutherford/Boeing format
 Suitesparse is a collection of libraries for computations involving
 sparse matrices.
 .
 RBio is a library for reading/writing sparse matrices in the Rutherford/Boeing
 format.

Package: libspqr2
Section: libs
Architecture: any
Multi-Arch: same
Pre-Depends: ${misc:Pre-Depends}
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: sparse QR factorization library
 Suitesparse is a collection of libraries for computations involving
 sparse matrices.
 .
 SuiteSparseQR (SPQR) is a multithreaded, multifrontal, rank-revealing sparse
 QR factorization method.

Package: libsuitesparseconfig4
Section: libs
Architecture: any
Multi-Arch: same
Pre-Depends: ${misc:Pre-Depends}
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: configuration routines for all SuiteSparse modules
 Suitesparse is a collection of libraries for computations involving
 sparse matrices.
 .
 The SuiteSparse_config library provides configuration routines that are common
 to all SuiteSparse libraries.

Package: libsuitesparse-dev
Section: libdevel
Architecture: any
Multi-Arch: same
Replaces: libsuitesparse-metis-dev
Conflicts: libsuitesparse-metis-dev
Depends: ${misc:Depends},
 libamd2 (= ${binary:Version}),
 libcamd2 (= ${binary:Version}),
 libbtf1 (= ${binary:Version}),
 libcolamd2 (= ${binary:Version}),
 libccolamd2 (= ${binary:Version}),
 libcholmod3 (= ${binary:Version}),
 libcxsparse3 (= ${binary:Version}),
 libklu1 (= ${binary:Version}),
 libldl2 (= ${binary:Version}),
 libumfpack5 (= ${binary:Version}),
 librbio2 (= ${binary:Version}),
 libspqr2 (= ${binary:Version}),
 libsuitesparseconfig4 (= ${binary:Version}),
 libblas-dev | libblas.so,
 liblapack-dev | liblapack.so
Description: libraries for sparse matrices computations (development files)
 Suitesparse is a collection of libraries for computations involving
 sparse matrices.  This package includes the following libraries:
 .
 AMD         approximate minimum degree ordering
 .
 CAMD        symmetric approximate minimum degree
 .
 BTF         permutation to block triangular form (beta)
 .
 COLAMD      column approximate minimum degree ordering
 .
 CCOLAMD     constrained column approximate minimum degree ordering
 .
 CHOLMOD     sparse Cholesky factorization
 .
 CXSparse    a concise sparse matrix package
 .
 KLU         sparse LU factorization, primarily for circuit simulation
 .
 LDL         a simple LDL' factorization
 .
 UMFPACK     sparse LU factorization
 .
 RBio        read/write sparse matrices in Rutherford/Boeing format
 .
 SPQR        sparse QR factorization
 .
 SuiteSparse_config    configuration routines for all the above packages.
 .
 This package contains the static libraries and header files.

Package: libsuitesparse-doc
Section: doc
Architecture: all
Depends: ${misc:Depends}
Suggests: liblapack-doc, liblapack-doc-man, libatlas-doc
Description: libraries for sparse matrices computations (documentation)
 Suitesparse is a collection of libraries for computations involving
 sparse matrices. This package contains the user guides for the
 libraries distributed by the SuiteSparse project.