[suitesparse] 01/01: Upload to unstable. Register user guides for KLU, CAMD, SPQR and LDL in doc-base.

[Sébastien Villemot]

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commit df170739ec3a4bc0a28fc52f44e0b044935667ca
Author: Sébastien Villemot <sebastien at debian.org>
Date:   Sun Dec 1 22:25:44 2013 +0100

    Upload to unstable. Register user guides for KLU, CAMD, SPQR and LDL in doc-base.
---
 debian/changelog                        |  7 +++++++
 debian/libsuitesparse-doc.doc-base.camd | 11 +++++++++++
 debian/libsuitesparse-doc.doc-base.klu  | 14 ++++++++++++++
 debian/libsuitesparse-doc.doc-base.ldl  | 16 ++++++++++++++++
 debian/libsuitesparse-doc.doc-base.spqr | 14 ++++++++++++++
 5 files changed, 62 insertions(+)

diff --git a/debian/changelog b/debian/changelog
index 2fc9346..b320737 100644
--- a/debian/changelog
+++ b/debian/changelog
@@ -1,3 +1,10 @@
+suitesparse (1:4.2.1-3) unstable; urgency=low
+
+  * Upload to unstable.
+  * Register user guides for KLU, CAMD, SPQR and LDL in doc-base.
+
+ -- Sébastien Villemot <sebastien at debian.org>  Sun, 01 Dec 2013 22:09:21 +0100
+
 suitesparse (1:4.2.1-2) experimental; urgency=low
 
   * Really fix BLAS/LAPACK dependencies of libsuitesparse-dev
diff --git a/debian/libsuitesparse-doc.doc-base.camd b/debian/libsuitesparse-doc.doc-base.camd
new file mode 100644
index 0000000..65abe4f
--- /dev/null
+++ b/debian/libsuitesparse-doc.doc-base.camd
@@ -0,0 +1,11 @@
+Document: camd-ug
+Title: SuiteSparse/CAMD User Guide
+Author: Patrick R. Amestoy, Yanqing (Morris) Chen, Timothy A. Davis, Iain S. Duff
+Abstract: CAMD is a set of ANSI C routines that implements the approximate
+ minimum degree ordering algorithm to permute sparse matrices prior to numerical
+ factorization. Ordering constraints can be optionally provided. A MATLAB
+ interface is included.
+Section: Programming
+
+Format: PDF
+Files: /usr/share/doc/libsuitesparse-doc/CAMD_UserGuide.pdf
diff --git a/debian/libsuitesparse-doc.doc-base.klu b/debian/libsuitesparse-doc.doc-base.klu
new file mode 100644
index 0000000..f79c26a
--- /dev/null
+++ b/debian/libsuitesparse-doc.doc-base.klu
@@ -0,0 +1,14 @@
+Document: klu-ug
+Title: SuiteSparse/User Guide for KLU and BTF
+Author: Timothy A. Davis, Eka Palamadai Natarajan
+Abstract: KLU is a set of routines for solving sparse linear systems of
+ equations. It is particularly well-suited to matrices arising in SPICE-like
+ circuit simulation applications. It relies on a permutation to block
+ triangular form (BTF), several methods for finding a fill-reducing ordering
+ (variants of approximate minimum degree, and nested dissection), and a sparse
+ left-looking LU factorization method to factorize each block. A MATLAB
+ interface is included. KLU appears as Collected Algorithm 907 of the ACM.
+Section: Programming
+
+Format: PDF
+Files: /usr/share/doc/libsuitesparse-doc/KLU_UserGuide.pdf
diff --git a/debian/libsuitesparse-doc.doc-base.ldl b/debian/libsuitesparse-doc.doc-base.ldl
new file mode 100644
index 0000000..dffdbe0
--- /dev/null
+++ b/debian/libsuitesparse-doc.doc-base.ldl
@@ -0,0 +1,16 @@
+Document: ldl-ug
+Title: SuiteSparse/User Guide for LDL, a concise sparse Cholesky package
+Author: Timothy A. Davis
+Abstract: The LDL software package is a set of short, concise routines for
+ factorizing symmetric positive-definite sparse matrices, with some
+ applicability to symmetric indefinite matrices. Its primary purpose is to
+ illustrate much of the basic theory of sparse matrix algorithms in as concise
+ a code as possible, including an elegant method of sparse symmetric
+ factorization that computes the factorization row-by-row but stores it
+ column-by-column. The entire symbolic and numeric factorization consists of
+ less than 50 lines of code. The package is written in C, and includes a MATLAB
+ interface.
+Section: Programming
+
+Format: PDF
+Files: /usr/share/doc/libsuitesparse-doc/ldl_userguide.pdf
diff --git a/debian/libsuitesparse-doc.doc-base.spqr b/debian/libsuitesparse-doc.doc-base.spqr
new file mode 100644
index 0000000..9fb4e98
--- /dev/null
+++ b/debian/libsuitesparse-doc.doc-base.spqr
@@ -0,0 +1,14 @@
+Document: spqr-ug
+Title: SuiteSparse/User’s Guide for SuiteSparseQR
+Author: Timothy A. Davis
+Abstract: SuiteSparseQR is an implementation of the multifrontal sparse QR
+ factorization method. Parallelism is exploited both in the BLAS and across
+ different frontal matrices using Intel’s Threading Building Blocks, a
+ shared-memory programming model for modern multicore architectures. It can
+ obtain a substantial fraction of the theoretical peak performance of a
+ multicore computer. The package is written in C++ with user interfaces for
+ MATLAB, C, and C++. Both real and complex sparse matrices are supported.
+Section: Programming
+
+Format: PDF
+Files: /usr/share/doc/libsuitesparse-doc/spqr_user_guide.pdf

-- 
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