From 7a7daece45261ca66f3c03d81820fdb769a4bfd3 Mon Sep 17 00:00:00 2001
From: Karl Berry <karl@freefriends.org>
Date: Sat, 1 Mar 2008 00:38:24 +0000
Subject: pst-func update (28feb08)

git-svn-id: svn://tug.org/texlive/trunk@6781 c570f23f-e606-0410-a88d-b1316a301751
---
 Master/texmf-dist/doc/generic/pst-func/pst-func-doc.tex | 15 ++++++++-------
 1 file changed, 8 insertions(+), 7 deletions(-)

(limited to 'Master/texmf-dist/doc/generic/pst-func/pst-func-doc.tex')

diff --git a/Master/texmf-dist/doc/generic/pst-func/pst-func-doc.tex b/Master/texmf-dist/doc/generic/pst-func/pst-func-doc.tex
index 30846a8a4ba..fb9e4d2a250 100644
--- a/Master/texmf-dist/doc/generic/pst-func/pst-func-doc.tex
+++ b/Master/texmf-dist/doc/generic/pst-func/pst-func-doc.tex
@@ -208,7 +208,7 @@ options can be set in the usual way with \verb+\psset+.
     linestyle=dotted,Derivation=3]{-2}{4}
   \rput[lb](1.8,4){\textcolor{blue}{$f(x)=x^3$}}
   \rput[lb](0.2,8){\textcolor{red}{$f^{\prime\prime}(x)=6x$}}
-  \rput[lb](-2,5.5){\textcolor{magenta}{$f^{\prime\prime\prime}(x)=6$}}
+  \rput[lb](-2,5){\textcolor{cyan}{$f^{\prime\prime\prime}(x)=6$}}
 \end{pspicture*}
 \end{LTXexample}
 %$
@@ -442,9 +442,9 @@ the integral is performed over one of them. The second one is the cumulative
 integral of a function (similar to \verb+\psGaussI+ but valid for all functions). The third 
 one is the result of a convolution. They are defined as:
 \begin{align}
-\text{psIntegral}(x) &= \int_a^b f(x,t)dt \\
-\text{psCumIntegral}(x) &= \int_{\text{xStart}}^{x} f(t)dt \\
-\text{psConv}(x) & = \int_a^b f(t)g(x-t)dt
+\text{psIntegral}(x) &= \int_a^b f(x,t)\mathrm{d}t \\
+\text{psCumIntegral}(x) &= \int_{\text{xStart}}^{x} f(t)\mathrm{d}t \\
+\text{psConv}(x) & = \int_a^b f(t)g(x-t)\mathrm{d}t
 \end{align}
 In the first one, the integral is performed from $a$ to $b$ and the function $f$ depends 
 on two parameters. In the second one, the function $f$ depends on only one parameter, and the 
@@ -476,8 +476,9 @@ step). The precision and the smoothness of the plot depend strongly on these two
 \begin{pspicture}[linewidth=1pt](-10,-.5)(10,1.5)
   \psaxes[dx=1cm,Dx=2]{->}(0,0)(-10,0)(10,1.5)
   \psCumIntegral[plotpoints=200,Simpson=10]{-10}{10}{0 1 GAUSS}
-  \psIntegral[plotpoints=200,Simpson=10,linecolor=red]{-10}{10}(-4,6){1 GAUSS}
   \psIntegral[plotpoints=200,Simpson=100,linecolor=green]{.1}{10}(-3,3){0 exch GAUSS}
+  \psIntegral[plotpoints=200,Simpson=10,linecolor=red,
+    fillcolor=red!40,fillstyle=solid,opacity=0.5]{-10}{10}(-4,6){1 GAUSS}
 \end{pspicture}
 \end{LTXexample}
 
@@ -875,7 +876,7 @@ D_r(\chi^2) &=	int_0^{\chi^2}\frac{t^{r/2-1}e^{-t/2}\mathrm{d}t}{\Gamma(1/2r)2^{
 A statistical distribution published by William Gosset in 1908 under his %. His employer, Guinness Breweries, 
 %required him to publish under a 
 pseudonym %, so he chosed 
-"`Student"'. 
+,,Student``. 
 %Given N independent measurements x_i, let
 %t=(x^_-mu)/(s/sqrt(N)),
 The $t$-distribution with parameter $\nu$ has the density function
@@ -1333,7 +1334,7 @@ valuewidth & <number>     & 10     & the width of the string for the converted
 
 
 \section{Credits}
-Gerry Coombes | Denis Girou | Christophe Jorssen | Manuel Luque | Timothy Van Zandt 
+Rafal Bartczuk | Gerry Coombes | Denis Girou | Christophe Jorssen | Manuel Luque | Timothy Van Zandt 
 
 \bgroup
 \raggedright
-- 
cgit v1.2.3

