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Install

Install this package:

emerge -a sci-libs/ldl

If the package is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask sci-libs/ldl

Or alternatively:

emerge --autounmask-write -a sci-libs/ldl

Package Information

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

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

<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] USE flag 'doc' in ebuild 3.0.3 is not documented in metadata.xml
• [Warning] USE flag 'test' in ebuild 3.0.3 is not documented in metadata.xml
• [Warning] USE flag 'doc' in ebuild 2.2.6 is not documented in metadata.xml
• [Warning] USE flag 'static-libs' in ebuild 2.2.6 is not documented in metadata.xml
• [Error] Missing md5-cache for ebuild ldl-3.0.3
• [Error] Missing md5-cache for ebuild ldl-2.2.6

USE Flags

Manage flags for this package: euse -i <flag> -p sci-libs/ldl | euse -E <flag> -p sci-libs/ldl | euse -D <flag> -p sci-libs/ldl

Manifest