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git-svn-id: file:///home/svnrepos/software/liblbfgs/trunk@7 ecf4c44f-38d1-4fa4-9757-a0b4dd0349fc
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naoaki
2008-04-25 23:08:27 +00:00
parent 423f64c6cc
commit 97c49dfc79
3 changed files with 20 additions and 7 deletions
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12
include/lbfgs.h
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@@ -419,7 +419,7 @@ void lbfgs_free(lbfgsfloatval_t *x);
/**
@mainpage A library of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS)
@mainpage libLBFGS: a library of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS)
@section intro Introduction
@@ -445,7 +445,7 @@ drastically for large-scaled problems.
Among the various ports of L-BFGS, this library provides several features:
- <b>Optimization with L1-norm (Orthant-Wise Limited-memory Quasi-Newton
(OW-LQN) method)</b>:
(OWL-QN) method)</b>:
In addition to standard minimization problems, the library can minimize
a function F(x) combined with L1-norm |x| of the variables,
{F(x) + C |x|}, where C is a constant scalar parameter. This feature is
@@ -483,7 +483,7 @@ This library is used by:
@section download Download
- <a href="http://www.chokkan.org/software/dist/libLBFGS-1.4.tar.gz">Source code</a>
- <a href="http://www.chokkan.org/software/dist/liblbfgs-1.4.tar.gz">Source code</a>
libLBFGS is distributed under the term of the
<a href="http://opensource.org/licenses/mit-license.php">MIT license</a>.
@@ -495,8 +495,8 @@ libLBFGS is distributed under the term of the
method (::LBFGS_LINESEARCH_MORETHUENTE) or backtracking algorithm
(::LBFGS_LINESEARCH_BACKTRACKING).
- Fixed a bug: the previous version did not compute psuedo-gradients
properly in the line search routines for OW-LQN. This bug might quit
an iteration process too early when the OW-LQN routine was activated
properly in the line search routines for OWL-QN. This bug might quit
an iteration process too early when the OWL-QN routine was activated
(0 < ::lbfgs_parameter_t::orthantwise_c).
- Configure script for POSIX environments.
- SSE/SSE2 optimizations with GCC.
@@ -549,7 +549,7 @@ The line search algorithms used in this implementation are described in:
<i>ACM Transactions on Mathematical Software (TOMS)</i>, Vol. 20, No. 3,
pp. 286-307, 1994.
This library also implements Orthant-Wise Limited-memory Quasi-Newton (OW-LQN)
This library also implements Orthant-Wise Limited-memory Quasi-Newton (OWL-QN)
method presented in:
- Galen Andrew and Jianfeng Gao.
Scalable training of L1-regularized log-linear models.