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Include an HTML header.

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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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2
doc/doxyfile
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@ -650,7 +650,7 @@ HTML_FILE_EXTENSION = .html
# each generated HTML page. If it is left blank doxygen will generate a # each generated HTML page. If it is left blank doxygen will generate a
# standard header. # standard header.
HTML_HEADER = HTML_HEADER = header.html
# The HTML_FOOTER tag can be used to specify a personal HTML footer for # The HTML_FOOTER tag can be used to specify a personal HTML footer for
# each generated HTML page. If it is left blank doxygen will generate a # each generated HTML page. If it is left blank doxygen will generate a

13
doc/header.html Normal file
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@ -0,0 +1,13 @@
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<meta name="author" content="Naoaki Okazaki">
<meta name="description" content="This library implements Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method.">
<meta name="keywords" content="libLBFGS,L-BFGS,LBFGS,OWL-QN,L1,L2,norm,C,library,SSE,SSE2">
<meta name="robots" content="index,follow">
<meta http-equiv="Content-Type" content="text/html;charset=iso-8859-1">
<title>libLBFGS: L-BFGS library written in C</title>
<link href="doxygen.css" rel="stylesheet" type="text/css">
<link href="tabs.css" rel="stylesheet" type="text/css">
</head>
<body>

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 @section intro Introduction
@ -445,7 +445,7 @@ drastically for large-scaled problems.
Among the various ports of L-BFGS, this library provides several features: Among the various ports of L-BFGS, this library provides several features:
- <b>Optimization with L1-norm (Orthant-Wise Limited-memory Quasi-Newton - <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 In addition to standard minimization problems, the library can minimize
a function F(x) combined with L1-norm |x| of the variables, 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 {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 @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 libLBFGS is distributed under the term of the
<a href="http://opensource.org/licenses/mit-license.php">MIT license</a>. <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 method (::LBFGS_LINESEARCH_MORETHUENTE) or backtracking algorithm
(::LBFGS_LINESEARCH_BACKTRACKING). (::LBFGS_LINESEARCH_BACKTRACKING).
- Fixed a bug: the previous version did not compute psuedo-gradients - Fixed a bug: the previous version did not compute psuedo-gradients
properly in the line search routines for OW-LQN. This bug might quit properly in the line search routines for OWL-QN. This bug might quit
an iteration process too early when the OW-LQN routine was activated an iteration process too early when the OWL-QN routine was activated
(0 < ::lbfgs_parameter_t::orthantwise_c). (0 < ::lbfgs_parameter_t::orthantwise_c).
- Configure script for POSIX environments. - Configure script for POSIX environments.
- SSE/SSE2 optimizations with GCC. - 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, <i>ACM Transactions on Mathematical Software (TOMS)</i>, Vol. 20, No. 3,
pp. 286-307, 1994. 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: method presented in:
- Galen Andrew and Jianfeng Gao. - Galen Andrew and Jianfeng Gao.
Scalable training of L1-regularized log-linear models. Scalable training of L1-regularized log-linear models.