suitesparse 1:5.4.0+dfsg-1 source package in Ubuntu

Changelog

suitesparse (1:5.4.0+dfsg-1) unstable; urgency=medium

  * New upstream version 5.4.0+dfsg
  * d/rules: use new JOBS Makefile variable for parallel build
  * Add Build-Depends-Package field in symbols files
  * Migrate to new way of specifying debhelper compat level
  * Bump to S-V 4.3.0

 -- S├ębastien Villemot <email address hidden>  Thu, 27 Dec 2018 09:52:31 +0100

Upload details

Uploaded by:
Debian Science Team on 2018-12-27
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
math
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Eoan release on 2019-04-18 main math
Disco release on 2018-12-30 main math

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suitesparse_5.4.0+dfsg-1.dsc 3.0 KiB 0c18f97f8a736f0071296ab9c331e66583145ee108e41ab5e3786811beba142f
suitesparse_5.4.0+dfsg.orig.tar.xz 39.9 MiB 95bf7956b8ccbb5c9db0071221ef88f39dc0439e8f321d7f95a451e670ce1ace
suitesparse_5.4.0+dfsg-1.debian.tar.xz 30.8 KiB eb19a768a88ad0a43b3b079d70af2e126369e49ba9f9155505f4ea6089081dcc

Available diffs

No changes file available.

Binary packages built by this source

libamd2: 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.

libamd2-dbgsym: debug symbols for libamd2
libbtf1: 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.

libbtf1-dbgsym: debug symbols for libbtf1
libcamd2: 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.

libcamd2-dbgsym: debug symbols for libcamd2
libccolamd2: 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.

libccolamd2-dbgsym: debug symbols for libccolamd2
libcholmod3: 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.

libcholmod3-dbgsym: debug symbols for libcholmod3
libcolamd2: 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.

libcolamd2-dbgsym: debug symbols for libcolamd2
libcxsparse3: 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.

libcxsparse3-dbgsym: debug symbols for libcxsparse3
libgraphblas2: No summary available for libgraphblas2 in ubuntu focal.

No description available for libgraphblas2 in ubuntu focal.

libgraphblas2-dbgsym: debug symbols for libgraphblas2
libklu1: 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.

libklu1-dbgsym: debug symbols for libklu1
libldl2: 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.

libldl2-dbgsym: debug symbols for libldl2
libmongoose2: graph partitioning tool that can quickly compute edge cuts (shared library)

 Suitesparse is a collection of libraries for computations involving
 sparse matrices.
 .
 Mongoose is a graph partitioning library that can quickly compute edge cuts in
 arbitrary graph. Given a graph with a vertex set and edge set, an edge cut is
 a partitioning of the graph into two subgraphs that are balanced (contain the
 same number of vertices) and the connectivity between the subgraphs is
 minimized (few edges are in the cut).
 .
 This package contains the shared C++ library.

libmongoose2-dbgsym: debug symbols for libmongoose2
librbio2: 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.

librbio2-dbgsym: debug symbols for librbio2
libspqr2: 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.

libspqr2-dbgsym: debug symbols for libspqr2
libsuitesparse-dev: 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
 .
 GraphBLAS graph algorithms via sparse matrix operations on semirings
 .
 Mongoose graph partitioning library that can quickly compute edge cuts
 .
 SuiteSparse_config configuration routines for all the above packages.
 .
 This package contains the static libraries and header files.

libsuitesparse-doc: 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.

libsuitesparseconfig5: 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.

libsuitesparseconfig5-dbgsym: debug symbols for libsuitesparseconfig5
libumfpack5: 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.

libumfpack5-dbgsym: debug symbols for libumfpack5
mongoose: graph partitioning tool that can quickly compute edge cuts (executable)

 Suitesparse is a collection of libraries for computations involving
 sparse matrices.
 .
 Mongoose is a graph partitioning library that can quickly compute edge cuts in
 arbitrary graph. Given a graph with a vertex set and edge set, an edge cut is
 a partitioning of the graph into two subgraphs that are balanced (contain the
 same number of vertices) and the connectivity between the subgraphs is
 minimized (few edges are in the cut).
 .
 This package contains the standalone executable.

mongoose-dbgsym: debug symbols for mongoose