Package: octave-optim / 1.4.0-1

texinfo5.patch Patch series | download
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Description: Fix build errors with Texinfo 5
Author: S├ębastien Villemot <sebastien@debian.org>
Bug: https://savannah.gnu.org/bugs/index.php?42928
Last-Update: 2014-08-06
---
This patch header follows DEP-3: http://dep.debian.net/deps/dep3/
--- a/inst/wpolyfit.m
+++ b/inst/wpolyfit.m
@@ -65,16 +65,18 @@
 ## @end example
 ## but the high degree of covariance amongst them makes this a questionable
 ## operation.
+## @end deftypefn
 ##
-## @deftypefnx {Function File} {[@var{p}, @var{s}, @var{mu}] =} wpolyfit (...)
+## @deftypefn {Function File} {[@var{p}, @var{s}, @var{mu}] =} wpolyfit (...)
 ##
 ## If an additional output @code{mu = [mean(x),std(x)]} is requested then 
 ## the @var{x} values are centered and normalized prior to computing the fit.
 ## This will give more stable numerical results.  To compute a predicted 
 ## @var{y} from the returned model use
 ## @code{y = polyval(p, (x-mu(1))/mu(2)}
+## @end deftypefn
 ##
-## @deftypefnx {Function File} {} wpolyfit (...)
+## @deftypefn {Function File} {} wpolyfit (...)
 ##
 ## If no output arguments are requested, then wpolyfit plots the data,
 ## the fitted line and polynomials defining the standard error range.
@@ -86,8 +88,9 @@
 ## y = polyval([2,3,1],x) + dy.*randn(size(x));
 ## wpolyfit(x,y,dy,2);
 ## @end example
+## @end deftypefn
 ##
-## @deftypefnx {Function File} {} wpolyfit (..., 'origin')
+## @deftypefn {Function File} {} wpolyfit (..., 'origin')
 ##
 ## If 'origin' is specified, then the fitted polynomial will go through
 ## the origin.  This is generally ill-advised.  Use with caution.
--- a/doc/optim.txi
+++ b/doc/optim.txi
@@ -172,8 +172,9 @@ computed and can be set to zero, @code{d
 name, @code{plabels}: 1-dimensional cell-array of column-cell-arrays,
 each column with labels for all parameters; the first column contains
 the numerical indices of the parameters; the second and third columns,
-present for structure based parameter handling, @mysee @ref{Parameter
-structures}, contain the names of the parameters and the subindices of
+present for structure based parameter handling, @mysee
+@ref{Parameter structures},
+contain the names of the parameters and the subindices of
 the parameters, @mysee @ref{Non-scalar parameters}, respectively.  The default
 gradient function will call the objective function with the second
 argument set with fields @code{f}: as the @code{f} passed to the
@@ -606,8 +607,9 @@ computed and can be set to zero, @code{d
 name, @code{plabels}: 1-dimensional cell-array of column-cell-arrays,
 each column with labels for all parameters; the first column contains
 the numerical indices of the parameters; the second and third columns,
-present for structure based parameter handling, @mysee @ref{Parameter
-structures}, contain the names of the parameters and the subindices of
+present for structure based parameter handling, @mysee
+@ref{Parameter structures},
+contain the names of the parameters and the subindices of
 the parameters, @mysee @ref{Non-scalar parameters}, respectively.  The default
 jacobian function will call the model function with the second argument
 set with fields @code{f}: as the @code{f} passed to the jacobian
@@ -664,8 +666,8 @@ instead of @code{nonlin_curvefit}.
 
 @c replace the cut out text
 Also, if the setting @code{user_interaction} is given, additional
-information is passed to these functions, @mysee @ref{Common optimization
-options}.
+information is passed to these functions, @mysee
+@ref{Common optimization options}.
 
 @c ------------------------------------------------------------------