suitesparse 1:4.5.3-1 source package in Ubuntu

Changelog

suitesparse (1:4.5.3-1) unstable; urgency=low

  * Release to unstable.
  * Imported Upstream version 4.5.3.

 -- Sébastien Villemot <email address hidden>  Tue, 17 May 2016 16:11:44 +0200

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Uploaded by:
Debian Science Team on 2016-05-17
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
math
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Yakkety release on 2016-06-10 main math

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suitesparse_4.5.3.orig.tar.gz 28.6 MiB 6199a3a35fbce82b155fd2349cf81d2b7cddaf0dac218c08cb172f9bc143f37a
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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 package libamd2

 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.

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 package libbtf1

 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.

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 package libcamd2

 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.

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 package libccolamd2

 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.

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 package libcholmod3

 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.

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 package libcolamd2

 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.

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 package libcxsparse3

 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.

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 package libklu1

 Suitesparse is a collection of libraries for computations involving
 sparse matrices.
 .
 The KLU library provides routines for LU factorization, primarily for circuit
 simulation.

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 package libldl2

 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.

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 package librbio2

 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.

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 package libspqr2

 Suitesparse is a collection of libraries for computations involving
 sparse matrices.
 .
 SuiteSparseQR (SPQR) is a multithreaded, multifrontal, rank-revealing sparse
 QR factorization method.

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
 .
 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.

libsuitesparseconfig4: 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.

libsuitesparseconfig4-dbgsym: debug symbols for package libsuitesparseconfig4

 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.

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 package libumfpack5

 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.