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Description:: LDL is a set of 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 new 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 a total of only 49 lines of code. The package is written in C, and includes a MATLAB interface.
Homepage:: http://people.engr.tamu.edu/davis/suitesparse.html
License:: LGPL-2.1+

Versions

Version	EAPI	Keywords	Slot
3.0.3	8	~amd64 ~arm ~arm64 ~hppa ~ppc ~ppc64 ~riscv ~sparc ~x86	0/3
2.2.6	7	amd64 ~arm arm64 ~hppa ~ppc ppc64 ~sparc ~x86	0

Metadata

Description

LDL is a set of 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 new 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 a total of only 49 lines of code. The package is written in C, and includes a MATLAB interface.

Maintainers

Gentoo Science Project (sci@gentoo.org) - Type: project

Upstream

Remote IDs:
- github: DrTimothyAldenDavis/SuiteSparse

Raw Metadata XML

<pkgmetadata>
	<maintainer type="project">
		<email>sci@gentoo.org</email>
		<name>Gentoo Science Project</name>
	</maintainer>
	<longdescription lang="en">
		LDL is a set of 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 new 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 a total of only 49 lines of code. The package is written
		in C, and includes a MATLAB interface.
	</longdescription>
	<upstream>
		<remote-id type="github">DrTimothyAldenDavis/SuiteSparse</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

[Warning] Ebuild 2.2.6 uses IUSE flag 'static-libs' which is not documented in metadata.xml. Add the flag to metadata.xml <use> section.
[Warning] Missing md5-cache for version 3.0.3. Run 'ebuild <ebuild_file> manifest' or 'egencache' to generate it.
[Warning] Missing md5-cache for version 2.2.6. Run 'ebuild <ebuild_file> manifest' or 'egencache' to generate it.

USE Flags

Flag	Description	3.0.3	2.2.6
doc	Add extra documentation (API, Javadoc, etc). It is recommended to enable per package instead of globally	✓	✓
static-libs	Build static versions of dynamic libraries as well	✗	✓
test	Enable dependencies and/or preparations necessary to run tests (usually controlled by FEATURES=test but can be toggled independently)	✓	✗

Manifest

Type	File	Size	Versions
DIST	SuiteSparse-7.0.0.gh.tar.gz	64884962 bytes	3.0.3
DIST	ldl-2.2.6.tar.bz2	342923 bytes	2.2.6

Unmatched Entries

Type	File	Size

sci-libs/ldl (gentoo)

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