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authorKyle Guinn <elyk03@gmail.com>2014-01-24 20:35:26 -0600
committerRobby Workman <rworkman@slackbuilds.org>2014-01-31 00:53:33 -0600
commit928fce8faa704aaf0a03021ff58c21eaea1ee967 (patch)
treed531801cc42a5be62e8c8c6b6de8863426897f7e /academic/colamd/slack-desc
parentffffac9b041e2c6d745ba31c868c0e08f8f92912 (diff)
downloadslackbuilds-928fce8faa704aaf0a03021ff58c21eaea1ee967.tar.gz
academic/colamd: Renamed and moved from libraries.
Signed-off-by: Robby Workman <rworkman@slackbuilds.org>
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+# HOW TO EDIT THIS FILE:
+# The "handy ruler" below makes it easier to edit a package description.
+# Line up the first '|' above the ':' following the base package name, and
+# the '|' on the right side marks the last column you can put a character in.
+# You must make exactly 11 lines for the formatting to be correct. It's also
+# customary to leave one space after the ':' except on otherwise blank lines.
+
+ |-----handy-ruler------------------------------------------------------|
+colamd: COLAMD (sparse matrix ordering routines)
+colamd:
+colamd: The COLAMD column approximate minimum degree ordering algorithm
+colamd: computes a permutation vector P such that the LU factorization of
+colamd: A (:,P) tends to be sparser than that of A. The Cholesky
+colamd: factorization of (A (:,P))'*(A (:,P)) will also tend to be sparser
+colamd: than that of A'*A.
+colamd:
+colamd:
+colamd:
+colamd: