new metapost/(la)tex package mfpic4ode (3jan08)

git-svn-id: svn://tug.org/texlive/trunk@6041 c570f23f-e606-0410-a88d-b1316a301751

7 files changed, 954 insertions, 0 deletions

diff --git a/Master/texmf-dist/doc/latex/mfpic4ode/README b/Master/texmf-dist/doc/latex/mfpic4ode/README
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+The mfpic4ode is a set of macros for drawing direction fields, phase
+portraits and trajectories of differential equations and two
+dimensional autonomous systems. The Euler, Runge-Kutta and 4th order
+Runge-Kutta algorithms are available to solve the ODE's. The picture
+is translated into mfpic macros and MetaPost is used to create the
+final drawing. The package is intended for LaTeX, but it can be used
+in plainTeX as well. 
+
+Online demonstration of the mfpic4ode macros is available on
+http://wood.mendelu.cz/math/mfpicpreviewer/ as Example 6.
+
+You can get the documentation but compiling mfpic4ode.dtx file and the
+files for installation by compiling mfpic4ode.ins by LaTeX.
diff --git a/Master/texmf-dist/doc/latex/mfpic4ode/demo/demo-plain.pdf b/Master/texmf-dist/doc/latex/mfpic4ode/demo/demo-plain.pdf
new file mode 100644
index 00000000000..0d96e439853
--- /dev/null
+++ b/Master/texmf-dist/doc/latex/mfpic4ode/demo/demo-plain.pdf
diff --git a/Master/texmf-dist/doc/latex/mfpic4ode/demo/demo-plain.tex b/Master/texmf-dist/doc/latex/mfpic4ode/demo/demo-plain.tex
new file mode 100644
index 00000000000..f8e758f3d6e
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+++ b/Master/texmf-dist/doc/latex/mfpic4ode/demo/demo-plain.tex
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+% compile with pdftex demo-plain; mpost portret; pdftex demo-plain
+\input multido
+\input mfpic
+
+\usemetapost
+\opengraphsfile{portret}
+\tlabelsep{3pt}
+\usemplabels
+
+
+\def\frac#1#2{{#1 \over #2}}
+\mfpicunit=1cm
+
+\input mfpic4ode
+
+
+
+
+
+\centerline{\bf Test file for mfpic4ode package}
+\centerline{Robert Ma\v r\'\i k}
+\centerline{January 3, 2008}
+
+\bigskip
+
+See the source file {\tt demo-plain.tex} for comments in the \TeX{} code.
+
+\clipmfpic
+\bigskip
+\centerline{\bf Logistic equation}
+Here we draw a simple picture which describes stability of stationary
+points of teh equation and then draw phase portrait of the equation.
+
+$$      x'=
+      {{r}\cdot\left(1-{x\over K}\right)x}
+$$
+
+% We set parameters for logistic equation
+\mfsrc{r:=1;K:=0.98;}
+
+% We set parameters for drawing and for the ODE solver
+\mfsrc{ODEarrowlength:=0.07; ODEstep:=0.02; ODEstepcount:=500;}
+
+% We define the equation
+\ODEdefineequation{r*y*(1-(y/K))}
+
+Stability and sign of the right--hand side.
+
+\mfpic[5][3]{-0.1}{1.5}{-0.1}{0.5}
+  \axes
+  \xmarks{K}
+  \tlabel[tc](K,0){$K$}
+  \tlabel[bc](0,ypos){$\smash{f(x)}$}
+  \tlabel[cl](xpos,0){$x$}
+
+  % This code draws arrows on x axis, the arrow points to the right if
+  % $f(x)$ is positive and to the left if f(x) is negative. If the
+  % starting point of the arrow is x_0 and the final point x_1 and if
+  % the function changes sign between x_0 and x_1, the arrow from x_0
+  % is not drawn
+  \multido{\r=0.01+0.2}{8}{\ODEharrow{\r}}
+
+  \pen{1pt}
+  \draw[rgb(0,0.5,0)]\parafcn{0,1.5,0.1}{(t,ODErhs(1,t))}
+  \draw[red]\parafcn{0,1.5,0.1}{(t,ODErhs(1,t))}
+  \draw[blue]\parafcn{0,K,0.1}{(t,ODErhs(1,t))}
+\endmfpic
+
+
+\mfsrc{ODEarrowlength:=0.3;}
+
+
+Phase portrait
+
+\mfpic[1][4]{-0.1}{10}{-0.1}{1.5}
+  \axes
+  \ymarks{K}
+  \tlabel[cr](0,K){$K$}
+  \penwd{1pt}
+  \tlabel[tc](xpos,0){$t$}
+  \tlabel[bc](0,ypos){$x$}
+  \pen{0.7pt}
+
+  % This code draws arrows in 19x15 points and draws three integral
+  % curves
+
+  \multido{\r=0.0+0.1}{15}
+  {\multido{\R=0.0+0.5}{19}
+    {\ODEarrow{\R}{\r}}}
+  \trajectories{0,0.3;0,0.01;0,1.4}
+
+\endmfpic
+
+\bigskip
+\centerline{\bf Logistic equation with harvesting}
+
+Similar to the previous picture, but both pictures are drawn together
+to see the relations between them.
+
+$$      x'=
+      {{r}\cdot\left(1-\frac x{{K}}\right)x}-{p}
+$$
+
+% We set parameters for logistic equation with harvesting and define
+% this equation.
+\mfsrc{r:=1;K:=0.98;lov:=0.15;}
+\ODEdefineequation{r*y*(1-(y/K))-lov}
+
+% If the equation possesses stationary points, we store them into
+% variables meza and mezb. If not, we set these variables to negative
+% values (and the are not drawn in view of mfpicclip option.
+\mfsrc{if (r**2*(K**2)-4*r*lov*K)<0: meza:=-1;mezb:=-1.1 
+  else: meza:=(r*K-sqrt(r**2*(K**2)-4*r*lov*K))/(2*r);
+  mezb:=(r*K+sqrt(r**2*(K**2)-4*r*lov*K))/(2*r) 
+  fi;}
+
+
+\hbox to \hsize{\hss\mfpic[1][4]{-0.1}{10}{-0.1}{1.3}
+  \axes
+  \ymarks{K}
+  \tlabel[cr](0,K){$K$}
+  \penwd{1pt}
+  \tlabel[tc](xpos,0){$t$}
+  \tlabel[bc](0,ypos){$x$}
+  
+  % here we draw lines - stationary solutions stored in meza and mezb
+  % variables
+  \draw[gray(0.5)]\dashed\lines{(0,meza),(xpos,meza)}
+  \draw[gray(0.5)]\dashed\lines{(0,mezb),(xpos,mezb)}
+
+  % We draw direction field using metapost cycle. Another option is to
+  % use multido command as in the previous example.
+  \mfsrc{for j=0 step 0.07 until 1.2:
+    for i:=0 step 0.5 until 10:}
+  \ODEarrow{i}{j}
+  \mfsrc{endfor;endfor;}
+
+  % We draw trajectories using black color.
+  \drawcolor{black}
+  \trajectories{0,0.1;0,0.2;0,0.4;0,0.6;0,0.8;0,1.1}
+\endmfpic\qquad
+% On the right we draw the right hand side of the equation
+\mfpic[3][4]{-0.15}{0.6}{-0.1}{1.3}
+  \axes
+  \ymarks{K}
+  \tlabel[cr](0,K){$K$}
+  \tlabel[br](xpos,0){$f(x)$}
+  \tlabel[bc](0,ypos){$x$}
+  \pen{1pt}
+
+  % This code draws the graph of right-hand side of logistic equation
+  % without harvesting.
+  \drawcolor{gray(0.7)}\draw\parafcn{0,1.2,0.1}{(ODErhs(1,t)+lov,t)}
+
+  % This code draws the graph of right-hand side. We use the blue
+  % color for positivce and red color for negative parts. We draw also
+  % arrows which are determined by the sigh of the right-hand side of
+  % the equation.
+  \drawcolor{red}\draw\parafcn{0,1.2,0.1}{(ODErhs(1,t),t)}
+  \drawcolor{blue}\parafcn{meza,mezb,0.05}{(ODErhs(1,t),t)}
+  \multido{\r=0.1+0.15}{7}{\ODEvarrow{\r}}
+\endmfpic\hss}
+
+\bigskip
+\centerline{\bf Three numerical methods for ODEs}
+
+Here we draw solution of ODE using all three available numerical
+methods. We use big step to see the difference between Euler,
+Runge--Kutta and fourth order Runge--Kutta method.
+$$    y'=x+y^3\qquad  y(0)=1
+$$
+  \leavevmode
+  \mfpic[20][5]{0}{0.5}{0.9}{2.4}
+    % We set-up parameters
+    \mfsrc{ODEarrowlength:=0.5;}
+    \ODEdefineequation{x+(y**3)}
+    \pen{1pt}\tlabelsep{1pt}
+
+    % We set up parameters for small step
+    \nomplabels
+    \drawcolor{green}
+    \mfsrc{ODEstep:=0.02; ODEstepcount:=30;}
+    \trajectoryRKF{0}{1}
+    \tlabel[tr](0.39,2.4){\bf{Exact solution}}
+
+    % We use bigger step to see the difference between various
+    % methods.
+    \mfsrc{ODEstep:=0.2; ODEstepcount:=2;}
+
+    % We draw trajectory by Euler method
+    \drawcolor{black}
+    \trajectory{0}{1}
+    \tlabel[bl](0.4,1.6){\bf{Euler}}
+    \tlabel[tl](0,1){\bf{$k_1$}}
+    \tlabel[tl](0.2,1.2){\bf{$k_1$ for second step}}
+    
+    % We draw trajectory by Runge-Kutta method
+    \drawcolor{rgb(0.5,0.5,0.5)}
+    \trajectoryRK{0}{1}
+    \tlabel[cl](0.4,2.05){\bf{RK}}
+    \tlabel[tl](0.1,1.1){\bf{$k_2$}}
+    
+    % We draw trajectory by fourth order Runge-Kutta method
+    \drawcolor{rgb(1,0,0)}
+    \trajectoryRKF{0}{1}
+    \tlabel[tl](0.4,2.15){\bf{RK4}}
+    
+    \tlabelsep{3pt}
+
+    % We draw direction field using blue arrows and metapost cycle
+    \penwd{1pt}
+    \drawcolor{blue}\headcolor{blue}
+    \mfsrc{for j=0.9 step 0.1 until 2.3:
+      for i:=0 step 0.05 until 0.5:}
+    \ODEarrow{i}{j}
+    \mfsrc{endfor;endfor;}
+    
+    
+    \drawcolor{black}
+    \doaxes{lbrt}
+    \bmarks{0,0.2,0.4}
+    \tmarks{0,0.2,0.4}
+    \lmarks{1,1.1,1.2,1.3,1.4,1.5,1.6,1.7,1.8,2,2.2}
+    \pointcolor{red}
+    \pointfilltrue
+    \point[4pt]{(0,1)}
+    
+    % We draw some other and bigger arrows in the direction field. The
+    % slopes of hese arrows are important for the first step by Euler
+    % and Ruge-Kutta method and the second step by Euler method.
+    \pen{2pt}
+    \mfsrc{ODEarrowlength:=1;}
+    \colorODEarrowfalse
+    \drawcolor{red}\headcolor{red}
+    \ODEarrows{0,1;0.1,1.1}
+    \ODEarrow{0.2}{1.2}
+    
+    \axislabels{b}[tc]{{$0$}0,{$0.2$}0.2,{$0.4$}0.4}
+    \axislabels{l}[cr]{{$0.8$}0.8,{$1$}1,{$1.2$}1.2,{$1.4$}1.4,{$1.6$}1.6,{$1.8$}1.8,{$2$}2,{$2.2$}2.2,{$2.4$}2.4}
+  \endmfpic
+  
+
+\bigskip
+\centerline{\bf Autonomous systems}
+ 
+% The color arrows have no sense in the phase portrait of autonomous
+% system.
+\colorODEarrowfalse
+
+We draw the phase portrait of autonomous system, nulclines, invariant
+set between nulclines, trajectories. We draw arrows in regular grid
+and add few more arrows on nulclines and outside the regular grid.
+
+\mfsrc{TIMEstep:=0.05; TIMEend:=30;}
+
+\mfpic
+  [0.5]{-2}{15}{-2}{15}
+  \nomplabels
+  \tlabel[cc](8,15.5){\bf Competing species}
+  \usemplabels
+
+  % We set up parameters, define equations, define functions which
+  % describe nulclines and store stationary points into variables z10,
+  % z11, z12, z1.
+
+  \mfsrc{a:=11;b:=1;c:=0.8;k:=10;l:=1.1;m:=1.2;}
+  \mfsrc{ODEarrowlength:=0.3;}
+  \ASdefineequations{x*(a-b*x-c*y)}{y*(k-l*x-m*y)}
+  \fdef{xnulklina}{x}{(a-b*x)/c}
+  \fdef{ynulklina}{x}{(k-l*x)/m}
+  \mfsrc{z10=(0,a/c);z11=(0,k/m);z12=(a/b,0);z13=(k/l,0);}
+
+  % Here we draw a gray polygon - invariant set fot the system.
+  \pen{0.3pt}
+  \gfill[gray(0.7)]\lclosed\lines{z10,z11,z13,z12}
+  \axes
+  \tlabel[bc](0,ypos){$y$}
+  \tlabel[cl](xpos,0){$x$}
+  
+  \pointsize=3pt
+  
+  \pointfilltrue\pointcolor{red}\point{(a/b,0)}
+  \draw[red]\function{0,a/b,1}{xnulklina(x)}
+  \draw[red]\lines{(0,0),(0,ypos)}
+  \tlabel[cr](x10,y10){$a\over c$}
+  \tlabel[tc](x12,y12){$a\over b$}
+    
+  \pointfilltrue\pointcolor{green}\point{(0,k/m)}
+  \draw[green]\function{0,k/l,1}{ynulklina(x)}
+  \draw[green]\lines{(0,0),(xpos,0)}
+  \tlabel[cr](x11,y11){$\alpha\over \beta$}
+  \tlabel[tc](x13,y13){$\alpha\over \gamma$}
+  
+  
+  \penwd{1.5pt}
+  \drawcolor{gray(0.25)}\headcolor{gray(0.25)}
+  \ASarrows{0,6;0,11;7,0;9,0;4.5,0;13,0;2,0;0,14;0,2}
+  \ASarrows{3,3;8,7;13,2;3,14}
+  \ASarrows{4,ynulklina(4);5,ynulklina(5);6,ynulklina(6);
+    1.7,ynulklina(1.7)}
+  \ASarrows{0.5,xnulklina(0.5);1.8,xnulklina(1.8);6,xnulklina(6);4,xnulklina(4);
+    7.5,xnulklina(7.5)}
+  
+  \drawcolor{black}
+  \AStrajectories{12,12;8,12;4,12;0.2,3;1,3;6,12;1,1;1,0.12;0.3,14}
+  \mfsrc{TIMEstep:=-0.05; TIMEend:=5;}
+  \AStrajectories{12,12;8,12;4,12;0.2,3;1,3;6,12;1,1;1,0.12;0.3,14}
+  \penwd{0.5pt}
+  \drawcolor{gray(0.5)}
+  \headcolor{gray(0.5)}
+  \multido{\r=0.5+1}{15}{\multido{\R=0.5+1}{15}{\ASarrow{\R}{\r}}}
+
+  
+\endmfpic
+
+
+\break
+\bigskip
+\centerline{\bf Predator prey system with HollingII response function}
+
+
+
+
+\mfpic[2]{-0.1}{4}{-0.1}{3}
+  % we define functions and parameters, right hand sides of the system
+  % and a function which defines nulcline
+  \mfsrc{r:=1;K:=3;a:=1;k:=0.8;P:=1;Alfa:=0.42;}
+  \fdef{funkceV}{x}{a*x/(x+P)}
+  \ASdefineequations{r*x*(1-(x/K))-funkceV(x)*y}{(-Alfa+k*funkceV(x))*y}
+  \fdef{xnulklina}{x}{r*(1-(x/K))*(x+P)/a}
+  \mfsrc{ODEarrowlength:=0.2;}
+
+  % Here we draw axes and nulclines
+  \axes
+  \tlabel[bc](0,ypos){$y$}
+  \tlabel[cl](xpos,0){$x$}
+  \draw[red]\function{0,K,0.1}{xnulklina(x)}
+  \draw[green]\lines{(P/((k*a/Alfa)-1),0),(P/((k*a/Alfa)-1),ypos)}
+  
+  % Here we draw some arrows on nulclines and then arrows in the plane
+  \penwd{0.5pt}
+  \drawcolor{gray(0.25)}\headcolor{gray(0.25)}
+  \ASarrows{P/((k*a/Alfa)-1),1;P/((k*a/Alfa)-1),2;P/((k*a/Alfa)-1),0.5;P/((k*a/Alfa)-1),1.5}
+  \ASarrows{0,xnulklina(0);0.5,xnulklina(0.5);1,xnulklina(1);1.5,xnulklina(1.5);2,xnulklina(2);2.25,xnulklina(2.25)}
+  \multido{\r=0.1+0.25}{20}{\multido{\R=0.1+0.25}{20}{\ASarrow{\R}{\r}}}
+  
+  %% We draw trajectory with IC x=2, y=2
+  \drawcolor{black}
+  \mfsrc{TIMEstep:=0.05; TIMEend:=10;}
+  \AStrajectoryRKF{2}{2}      
+  %% We continue the trajectory (spiral) from the last point
+  \AStrajectoryRKF{x1}{y1}      
+  \AStrajectoryRKF{x1}{y1}      
+  \AStrajectoryRKF{x1}{y1}      
+  \AStrajectoryRKF{x1}{y1}      
+  \AStrajectoryRKF{x1}{y1}      
+  \AStrajectoryRKF{x1}{y1}      
+  \AStrajectoryRKF{x1}{y1}      
+
+  %% We continue backwards
+  \mfsrc{TIMEstep:=-0.05;}
+  \AStrajectoryRKF{2}{2}      
+  
+\endmfpic
+
+
+\closegraphsfile
+\end
diff --git a/Master/texmf-dist/doc/latex/mfpic4ode/demo/demo.pdf b/Master/texmf-dist/doc/latex/mfpic4ode/demo/demo.pdf
new file mode 100644
index 00000000000..ac85af20cbc
--- /dev/null
+++ b/Master/texmf-dist/doc/latex/mfpic4ode/demo/demo.pdf
diff --git a/Master/texmf-dist/doc/latex/mfpic4ode/demo/demo.tex b/Master/texmf-dist/doc/latex/mfpic4ode/demo/demo.tex
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index 00000000000..e948ab6374e
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+% compile with pdflatex demo; mpost portret; pdflatex demo
+\documentclass{article}
+
+\usepackage{multido}
+\usepackage{amsmath}
+%\usepackage{color}
+\usepackage%[clip]
+{mfpic}
+\usemetapost
+\opengraphsfile{portret}
+\tlabelsep{3pt}
+\usemplabels
+
+
+\mfpicunit=1cm
+
+
+
+\usepackage{mfpic4ode}
+
+
+\begin{document}
+
+\title{Test file for mfpic4ode package}
+\author{Robert Ma\v r\'\i k}
+\date\today
+\maketitle
+
+See the source file \texttt{demo.tex} for comments in the \TeX{} code.
+
+\clipmfpic
+\section{Logistic equation}
+Here we draw a simple picture which describes stability of stationary
+points of teh equation and then draw phase portrait of the equation.
+
+\begin{center}
+    \begin{equation}
+      x'=
+      {{r}\cdot\left(1-\frac x{{K}}\right)x}
+    \end{equation}
+\end{center}
+
+% We set parameters for logistic equation
+\mfsrc{r:=1;K:=0.98;}
+
+% We set parameters for drawing and for the ODE solver
+\mfsrc{ODEarrowlength:=0.07; ODEstep:=0.02; ODEstepcount:=500;}
+
+% We define the equation
+\ODEdefineequation{r*y*(1-(y/K))}
+
+Stability and sign of the right--hand side.
+
+\begin{mfpic}[5][3]{-0.1}{1.5}{-0.1}{0.5}
+  \axes
+  \xmarks{K}
+  \tlabel[tc](K,0){$K$}
+  \tlabel[bc](0,ypos){$\smash{f(x)}$}
+  \tlabel[cl](xpos,0){$x$}
+
+  % This code draws arrows on x axis, the arrow points to the right if
+  % $f(x)$ is positive and to the left if f(x) is negative. If the
+  % starting point of the arrow is x_0 and the final point x_1 and if
+  % the function changes sign between x_0 and x_1, the arrow from x_0
+  % is not drawn
+  \multido{\r=0.01+0.2}{8}{\ODEharrow{\r}}
+
+  \pen{1pt}
+  \draw[rgb(0,0.5,0)]\parafcn{0,1.5,0.1}{(t,ODErhs(1,t))}
+  \draw[red]\parafcn{0,1.5,0.1}{(t,ODErhs(1,t))}
+  \draw[blue]\parafcn{0,K,0.1}{(t,ODErhs(1,t))}
+\end{mfpic}
+
+
+\mfsrc{ODEarrowlength:=0.3;}
+
+
+Phase portrait
+
+\begin{mfpic}[1][4]{-0.1}{10}{-0.1}{1.5}
+  \axes
+  \ymarks{K}
+  \tlabel[cr](0,K){$K$}
+  \penwd{1pt}
+  \tlabel[tc](xpos,0){$t$}
+  \tlabel[bc](0,ypos){$x$}
+  \pen{0.7pt}
+
+  % This code draws arrows in 19x15 points and draws three integral
+  % curves
+
+  \multido{\r=0.0+0.1}{15}
+  {\multido{\R=0.0+0.5}{19}
+    {\ODEarrow{\R}{\r}}}
+  \trajectories{0,0.3;0,0.01;0,1.4}
+
+\end{mfpic}
+
+
+\section{Logistic equation with harvesting}
+
+Similar to the previous picture, but both pictures are drawn together
+to see the relations between them.
+
+\begin{center}
+    \begin{equation}
+      x'=
+      {{r}\cdot\left(1-\frac x{{K}}\right)x}-{p}
+    \end{equation}
+\end{center}
+
+% We set parameters for logistic equation with harvesting and define
+% this equation.
+\mfsrc{r:=1;K:=0.98;lov:=0.15;}
+\ODEdefineequation{r*y*(1-(y/K))-lov}
+
+% If the equation possesses stationary points, we store them into
+% variables meza and mezb. If not, we set these variables to negative
+% values (and the are not drawn in view of mfpicclip option.
+\mfsrc{if (r**2*(K**2)-4*r*lov*K)<0: meza:=-1;mezb:=-1.1 
+  else: meza:=(r*K-sqrt(r**2*(K**2)-4*r*lov*K))/(2*r);
+  mezb:=(r*K+sqrt(r**2*(K**2)-4*r*lov*K))/(2*r) 
+  fi;}
+
+
+\hbox to \hsize{\hss\begin{mfpic}[1][4]{-0.1}{10}{-0.1}{1.3}
+  \axes
+  \ymarks{K}
+  \tlabel[cr](0,K){$K$}
+  \penwd{1pt}
+  \tlabel[tc](xpos,0){$t$}
+  \tlabel[bc](0,ypos){$x$}
+  
+  % here we draw lines - stationary solutions stored in meza and mezb
+  % variables
+  \draw[gray(0.5)]\dashed\lines{(0,meza),(xpos,meza)}
+  \draw[gray(0.5)]\dashed\lines{(0,mezb),(xpos,mezb)}
+
+  % We draw direction field using metapost cycle. Another option is to
+  % use multido command as in the previous example.
+  \mfsrc{for j=0 step 0.07 until 1.2:
+    for i:=0 step 0.5 until 10:}
+  \ODEarrow{i}{j}
+  \mfsrc{endfor;endfor;}
+
+  % We draw trajectories using black color.
+  \drawcolor{black}
+  \trajectories{0,0.1;0,0.2;0,0.4;0,0.6;0,0.8;0,1.1}
+\end{mfpic}\qquad
+% On the right we draw the right hand side of the equation
+\begin{mfpic}[3][4]{-0.15}{0.6}{-0.1}{1.3}
+  \axes
+  \ymarks{K}
+  \tlabel[cr](0,K){$K$}
+  \tlabel[br](xpos,0){$f(x)$}
+  \tlabel[bc](0,ypos){$x$}
+  \pen{1pt}
+
+  % This code draws the graph of right-hand side of logistic equation
+  % without harvesting.
+  \drawcolor{gray(0.7)}\draw\parafcn{0,1.2,0.1}{(ODErhs(1,t)+lov,t)}
+
+  % This code draws the graph of right-hand side. We use the blue
+  % color for positivce and red color for negative parts. We draw also
+  % arrows which are determined by the sigh of the right-hand side of
+  % the equation.
+  \drawcolor{red}\draw\parafcn{0,1.2,0.1}{(ODErhs(1,t),t)}
+  \drawcolor{blue}\parafcn{meza,mezb,0.05}{(ODErhs(1,t),t)}
+  \multido{\r=0.1+0.15}{7}{\ODEvarrow{\r}}
+\end{mfpic}\hss}
+
+\section{Three numerical methods for ODEs}
+
+Here we draw solution of ODE using all three available numerical
+methods. We use big step to see the difference between Euler,
+Runge--Kutta and fourth order Runge--Kutta method.
+\begin{center}
+  \begin{equation*}
+    \boxed{\begin{aligned}y'&=x+y^3\\y(0)&=1
+      \end{aligned}}\qquad
+    \boxed{\begin{aligned}x_{n+1}&=x_n+h\\
+        y_{n+1}&=y_n+kh\\h&=0.2
+      \end{aligned}}
+  \end{equation*}
+  \leavevmode
+  \begin{mfpic}[20][5]{0}{0.5}{0.9}{2.4}
+    % We set-up parameters
+    \mfsrc{ODEarrowlength:=0.5;}
+    \ODEdefineequation{x+(y**3)}
+    \pen{1pt}\tlabelsep{1pt}
+
+    % We set up parameters for small step
+    \nomplabels
+    \drawcolor{green}
+    \mfsrc{ODEstep:=0.02; ODEstepcount:=30;}
+    \trajectoryRKF{0}{1}
+    \tlabel[tr](0.39,2.4){\bf{Exact solution}}
+
+    % We use bigger step to see the difference between various
+    % methods.
+    \mfsrc{ODEstep:=0.2; ODEstepcount:=2;}
+
+    % We draw trajectory by Euler method
+    \drawcolor{black}
+    \trajectory{0}{1}
+    \tlabel[bl](0.4,1.6){\bf{Euler}}
+    \tlabel[tl](0,1){\bf{$k_1$}}
+    \tlabel[tl](0.2,1.2){\bf{$k_1$ for second step}}
+    
+    % We draw trajectory by Runge-Kutta method
+    \drawcolor{rgb(0.5,0.5,0.5)}
+    \trajectoryRK{0}{1}
+    \tlabel[cl](0.4,2.05){\bf{RK}}
+    \tlabel[tl](0.1,1.1){\bf{$k_2$}}
+    
+    % We draw trajectory by fourth order Runge-Kutta method
+    \drawcolor{rgb(1,0,0)}
+    \trajectoryRKF{0}{1}
+    \tlabel[tl](0.4,2.15){\bf{RK4}}
+    
+    \tlabelsep{3pt}
+
+    % We draw direction field using blue arrows and metapost cycle
+    \penwd{1pt}
+    \drawcolor{blue}\headcolor{blue}
+    \mfsrc{for j=0.9 step 0.1 until 2.3:
+      for i:=0 step 0.05 until 0.5:}
+    \ODEarrow{i}{j}
+    \mfsrc{endfor;endfor;}
+    
+    
+    \drawcolor{black}
+    \doaxes{lbrt}
+    \bmarks{0,0.2,0.4}
+    \tmarks{0,0.2,0.4}
+    \lmarks{1,1.1,1.2,1.3,1.4,1.5,1.6,1.7,1.8,2,2.2}
+    \pointcolor{red}
+    \pointfilltrue
+    \point[4pt]{(0,1)}
+    
+    % We draw some other and bigger arrows in the direction field. The
+    % slopes of hese arrows are important for the first step by Euler
+    % and Ruge-Kutta method and the second step by Euler method.
+    \pen{2pt}
+    \mfsrc{ODEarrowlength:=1;}
+    \colorODEarrowfalse
+    \drawcolor{red}\headcolor{red}
+    \ODEarrows{0,1;0.1,1.1}
+    \ODEarrow{0.2}{1.2}
+    
+    \axislabels{b}[tc]{{$0$}0,{$0.2$}0.2,{$0.4$}0.4}
+    \axislabels{l}[cr]{{$0.8$}0.8,{$1$}1,{$1.2$}1.2,{$1.4$}1.4,{$1.6$}1.6,{$1.8$}1.8,{$2$}2,{$2.2$}2.2,{$2.4$}2.4}
+  \end{mfpic}
+  
+\end{center}
+
+
+\section{Autonomous systems}
+ 
+% The color arrows have no sense in the phase portrait of autonomous
+% system.
+\colorODEarrowfalse
+
+We draw the phase portrait of autonomous system, nulclines, invariant
+set between nulclines, trajectories. We draw arrows in regular grid
+and add few more arrows on nulclines and outside the regular grid.
+
+\mfsrc{TIMEstep:=0.05; TIMEend:=30;}
+
+\begin{mfpic}
+  [0.5]{-2}{15}{-2}{15}
+  \nomplabels
+  \tlabel[cc](8,15.5){\bf Competing species}
+  \usemplabels
+
+  % We set up parameters, define equations, define functions which
+  % describe nulclines and store stationary points into variables z10,
+  % z11, z12, z1.
+
+  \mfsrc{a:=11;b:=1;c:=0.8;k:=10;l:=1.1;m:=1.2;}
+  \mfsrc{ODEarrowlength:=0.3;}
+  \ASdefineequations{x*(a-b*x-c*y)}{y*(k-l*x-m*y)}
+  \fdef{xnulklina}{x}{(a-b*x)/c}
+  \fdef{ynulklina}{x}{(k-l*x)/m}
+  \mfsrc{z10=(0,a/c);z11=(0,k/m);z12=(a/b,0);z13=(k/l,0);}
+
+  % Here we draw a gray polygon - invariant set fot the system.
+  \pen{0.3pt}
+  \gfill[gray(0.7)]\lclosed\lines{z10,z11,z13,z12}
+  \axes
+  \tlabel[bc](0,ypos){$y$}
+  \tlabel[cl](xpos,0){$x$}
+  
+  \pointsize=3pt
+  
+  \pointfilltrue\pointcolor{red}\point{(a/b,0)}
+  \draw[red]\function{0,a/b,1}{xnulklina(x)}
+  \draw[red]\lines{(0,0),(0,ypos)}
+  \tlabel[cr](x10,y10){$a\over c$}
+  \tlabel[tc](x12,y12){$a\over b$}
+    
+  \pointfilltrue\pointcolor{green}\point{(0,k/m)}
+  \draw[green]\function{0,k/l,1}{ynulklina(x)}
+  \draw[green]\lines{(0,0),(xpos,0)}
+  \tlabel[cr](x11,y11){$\alpha\over \beta$}
+  \tlabel[tc](x13,y13){$\alpha\over \gamma$}
+  
+  
+  \penwd{1.5pt}
+  \drawcolor{gray(0.25)}\headcolor{gray(0.25)}
+  \ASarrows{0,6;0,11;7,0;9,0;4.5,0;13,0;2,0;0,14;0,2}
+  \ASarrows{3,3;8,7;13,2;3,14}
+  \ASarrows{4,ynulklina(4);5,ynulklina(5);6,ynulklina(6);
+    1.7,ynulklina(1.7)}
+  \ASarrows{0.5,xnulklina(0.5);1.8,xnulklina(1.8);6,xnulklina(6);4,xnulklina(4);
+    7.5,xnulklina(7.5)}
+  
+  \drawcolor{black}
+  \AStrajectories{12,12;8,12;4,12;0.2,3;1,3;6,12;1,1;1,0.12;0.3,14}
+  \mfsrc{TIMEstep:=-0.05; TIMEend:=5;}
+  \AStrajectories{12,12;8,12;4,12;0.2,3;1,3;6,12;1,1;1,0.12;0.3,14}
+  \penwd{0.5pt}
+  \drawcolor{gray(0.5)}
+  \headcolor{gray(0.5)}
+  \multido{\r=0.5+1}{15}{\multido{\R=0.5+1}{15}{\ASarrow{\R}{\r}}}
+
+  
+\end{mfpic}
+
+
+\begin{center}
+  \textbf{Pedator prey system with HollingII response function}
+\end{center}
+
+
+
+\begin{mfpic}[2]{-0.1}{4}{-0.1}{3}
+  % we define functions and parameters, right hand sides of the system
+  % and a function which defines nulcline
+  \mfsrc{r:=1;K:=3;a:=1;k:=0.8;P:=1;Alfa:=0.42;}
+  \fdef{funkceV}{x}{a*x/(x+P)}
+  \ASdefineequations{r*x*(1-(x/K))-funkceV(x)*y}{(-Alfa+k*funkceV(x))*y}
+  \fdef{xnulklina}{x}{r*(1-(x/K))*(x+P)/a}
+  \mfsrc{ODEarrowlength:=0.2;}
+
+  % Here we draw axes and nulclines
+  \axes
+  \tlabel[bc](0,ypos){$y$}
+  \tlabel[cl](xpos,0){$x$}
+  \draw[red]\function{0,K,0.1}{xnulklina(x)}
+  \draw[green]\lines{(P/((k*a/Alfa)-1),0),(P/((k*a/Alfa)-1),ypos)}
+  
+  % Here we draw some arrows on nulclines and then arrows in the plane
+  \penwd{0.5pt}
+  \drawcolor{gray(0.25)}\headcolor{gray(0.25)}
+  \ASarrows{P/((k*a/Alfa)-1),1;P/((k*a/Alfa)-1),2;P/((k*a/Alfa)-1),0.5;P/((k*a/Alfa)-1),1.5}
+  \ASarrows{0,xnulklina(0);0.5,xnulklina(0.5);1,xnulklina(1);1.5,xnulklina(1.5);2,xnulklina(2);2.25,xnulklina(2.25)}
+  \multido{\r=0.1+0.25}{20}{\multido{\R=0.1+0.25}{20}{\ASarrow{\R}{\r}}}
+  
+  %% We draw trajectory with IC x=2, y=2
+  \drawcolor{black}
+  \mfsrc{TIMEstep:=0.05; TIMEend:=10;}
+  \AStrajectoryRKF{2}{2}      
+  %% We continue the trajectory (spiral) from the last point
+  \AStrajectoryRKF{x1}{y1}      
+  \AStrajectoryRKF{x1}{y1}      
+  \AStrajectoryRKF{x1}{y1}      
+  \AStrajectoryRKF{x1}{y1}      
+  \AStrajectoryRKF{x1}{y1}      
+  \AStrajectoryRKF{x1}{y1}      
+  \AStrajectoryRKF{x1}{y1}      
+
+  %% We continue backwards
+  \mfsrc{TIMEstep:=-0.05;}
+  \AStrajectoryRKF{2}{2}      
+  
+\end{mfpic}
+
+
+
+\end{document}
diff --git a/Master/texmf-dist/doc/latex/mfpic4ode/mfpic4ode.pdf b/Master/texmf-dist/doc/latex/mfpic4ode/mfpic4ode.pdf
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diff --git a/Master/texmf-dist/doc/latex/mfpic4ode/mfpic4ode.tex b/Master/texmf-dist/doc/latex/mfpic4ode/mfpic4ode.tex
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+++ b/Master/texmf-dist/doc/latex/mfpic4ode/mfpic4ode.tex
@@ -0,0 +1,192 @@
+%%
+%% This is file `mfpic4ode.tex',
+%% generated with the docstrip utility.
+%%
+%% The original source files were:
+%%
+%% mfpic4ode.dtx  (with options: `tex')
+%% 
+%% This is a generated file.
+%% 
+%% Copyright (C) 2007 by Robert Marik <marik@mendelu.cz>
+%% 
+%% This file may be distributed and/or modified under the conditions of
+%% the LaTeX Project Public License, either version 1.2 of this license
+%% or (at your option) any later version.  The latest version of this
+%% license is in:
+%% 
+%%    http://www.latex-project.org/lppl.txt
+%% 
+%% and version 1.2 or later is part of all distributions of LaTeX version
+%% 1999/12/01 or later.
+%% 
+\catcode`\@=11
+
+\newif\ifcolorODEarrow
+%%%\colorODEarrowfalse
+\colorODEarrowtrue
+
+%%% The line from one point to another
+\def\ODEline#1#2{\lines{#1,#2}}
+
+%%% The variable ODErhs is used to store the function from the right
+%%% hand side of ODE in the form y'=f(x,y). We use command
+%%% ODEdefineequation to set up this variable.
+\def\ODEdefineequation#1{\fdef{ODErhs}{x,y}{#1}}
+
+%%% Integral curve using Euler method. The step of this method is
+%%% ODEstep and the number of steps is ODEstepcount. The points are
+%%% stored in metapost variables x1,y1.
+\def\trajectory#1#2{
+  \mfsrc{x1:=#1;y1:=#2;
+    for i=1 upto ODEstepcount:
+    x2:=x1+ODEstep;
+    y2:=y1+ODEstep*ODErhs(x1,y1);}
+  \ODEline{z1}{z2}
+  \mfsrc{
+    if ((y2>yneg) and (y2<ypos)): x1:=x2; y1:=y2 fi;
+    endfor
+  }}
+
+%%% Integral curve using Runge--Kutta method.
+\def\trajectoryRK#1#2{
+  \mfsrc{x1:=#1;y1:=#2;
+    for i=1 upto ODEstepcount:
+    k1:=ODErhs(x1,y1);
+    x3:=x1+(ODEstep/2);
+    y3:=y1+k1*(ODEstep/2);
+    k2:=ODErhs(x3,y3);
+    x2:=x1+ODEstep;
+    y2:=y1+ODEstep*k2;}
+  \ODEline{z1}{z2}
+  \mfsrc{
+    if ((y2>yneg) and (y2<ypos)): x1:=x2; y1:=y2 fi;
+    endfor
+  }}
+%%% Integral curve using fourth order Runge--Kutta method.
+\def\trajectoryRKF#1#2{
+  \mfsrc{x1:=#1;y1:=#2;
+    for i=1 upto ODEstepcount:
+    k1:=ODErhs(x1,y1);
+    x3:=x1+(ODEstep/2);
+    y3:=y1+k1*(ODEstep/2);
+    k2:=ODErhs(x3,y3);
+    y4:=y1+k2*(ODEstep/2);
+    k3:=ODErhs(x3,y4);
+    y5:=y1+k3*(ODEstep/2);
+    k4:=ODErhs(x3,y5);
+    kk:=(k1+2*k2+2*k3+k4)/6;
+    x2:=x1+ODEstep;
+    y2:=y1+ODEstep*kk;}
+  \ODEline{z1}{z2}
+  \mfsrc{
+    if ((y2>yneg) and (y2<ypos)): x1:=x2; y1:=y2 fi;
+    endfor
+  }}
+\def\ODEarrow#1#2{
+  \mfsrc{x1:=#1; y1:=#2;
+    x3:=x1+(ODEarrowlength)/((xscale)++(ODErhs(#1,#2)*yscale));
+    y3:=y1+(ODEarrowlength*ODErhs(#1,#2))/((xscale)++(ODErhs(#1,#2)*yscale));
+    if y3>y1:ODEcolorarrow:=blue else: ODEcolorarrow:=red fi;
+  }
+  \ifcolorODEarrow
+    \drawcolor{ODEcolorarrow} \headcolor{ODEcolorarrow}
+  \fi
+  \draw\arrow\lines{z1,z3}
+}
+
+\def\ODEarrows#1{\ODE@cycle@points#1;,;}
+\def\trajectories#1{\ODE@cycle@IC#1;,;}
+\def\ODE@last@point{}
+\def\ODE@cycle@points#1,#2;{\def\temp{#1}\ifx\temp\ODE@last@point\let\next\relax
+  \else\ODEarrow{#1}{#2}\relax\let\next\ODE@cycle@points\fi\next}
+\def\ODE@cycle@IC#1,#2;{\def\temp{#1}\ifx\temp\ODE@last@point\let\next\relax
+  \else
+  \trajectoryRKF{#1}{#2}\relax\let\next\ODE@cycle@IC\fi\next}
+\mfsrc{path p,q;color ODEcolorarrow;}
+
+%%% Onedimensional autonomous systems y'=f(y) where  '=d/dx
+\def\ODEharrow#1{
+  \mfsrc{x1:=#1;
+    if ODErhs(0,x1)>0: x3:=x1+ODEarrowlength else: x3:=x1-ODEarrowlength fi;
+    if ODErhs(0,x1)*ODErhs(0,x3)<0: x1:=-100;x3:=-100 fi;
+    if x3>x1:ODEcolorarrow:=blue else: ODEcolorarrow:=red fi;
+  }
+  \ifcolorODEarrow \drawcolor{ODEcolorarrow}
+  \headcolor{ODEcolorarrow} \fi
+  \pen{1.5pt}
+  \draw\arrow\lines{(x1,0),(x3,0)}
+}
+
+\def\ODEvarrow#1{
+  \mfsrc{x1:=#1;
+    if ODErhs(0,#1)>0:
+    x3:=x1+(ODEarrowlength/yscale) else: x3:=x1-(ODEarrowlength/yscale) fi;
+    if ODErhs(0,x1)*ODErhs(0,x3)<0: x1:=-100;x3:=-100 fi;
+    if x3>x1:ODEcolorarrow:=blue else: ODEcolorarrow:=red fi;
+  }
+  \ifcolorODEarrow \drawcolor{ODEcolorarrow}
+  \headcolor{ODEcolorarrow} \fi
+  \pen{1.5pt}
+  \draw\arrow\lines{(0,x1),(0,x3)}
+}
+
+%%% Twodimensional autonomous systems  x'=f(x,y), y'=g(x,y) where '=d/dt
+\def\ASdefineequations#1#2{\fdef{ASf}{x,y}{#1}\fdef{ASg}{x,y}{#2}}
+
+\def\AStrajectory#1#2{
+  \mfsrc{x1:=#1;y1:=#2;
+    for i=1 upto ODEstepcount:
+    x2:=x1+ODEstep*ASf(x1,y1);
+    y2:=y1+ODEstep*ASg(x1,y1);}
+  \ODEline{z1}{z2}
+  \mfsrc{
+    if ((y2>yneg) and (y2<ypos)): x1:=x2; y1:=y2 fi;
+    endfor
+  }}
+\def\ASarrow#1#2{
+  \mfsrc{x1:=#1; y1:=#2;
+    x3:=x1+(ODEarrowlength*ASf(#1,#2))/((ASf(#1,#2)*xscale)++(ASg(#1,#2)*yscale    ));
+    y3:=y1+(ODEarrowlength*ASg(#1,#2))/((ASf(#1,#2)*xscale)++(ASg(#1,#2)*yscale    ));
+    if y3>y1:ODEcolorarrow:=blue else: ODEcolorarrow:=red fi;
+  }
+  \ifcolorODEarrow
+  \drawcolor{ODEcolorarrow} \headcolor{ODEcolorarrow}
+  \fi
+  \draw\arrow\lines{z1,z3}
+}
+
+\def\ASarrows#1{\AS@cycle@points#1;,;}
+\def\AS@cycle@points#1,#2;{\def\temp{#1}\ifx\temp\ODE@last@point\let\next\relax
+  \else\ASarrow{#1}{#2}\relax\let\next\AS@cycle@points\fi\next}
+\def\AStrajectories#1{\AS@cycle@IC#1;,;}
+\def\AS@cycle@IC#1,#2;{\def\temp{#1}\ifx\temp\ODE@last@point\let\next\relax
+  \else
+  \AStrajectoryRKF{#1}{#2}\relax\let\next\AS@cycle@IC\fi\next}
+\def\AStrajectoryRKF#1#2{
+  \mfsrc{x1:=#1;y1:=#2;
+    TIMEsteps:=abs(TIMEend/TIMEstep);
+    TIME:=0;
+    for i=1 upto TIMEsteps:
+    k1:=ASf(x1,y1);
+    l1:=ASg(x1,y1);
+    k2:=ASf(x1+(TIMEstep*k1/2),y1+(TIMEstep*l1/2));
+    l2:=ASg(x1+(TIMEstep*k1/2),y1+(TIMEstep*l1/2));
+    k3:=ASf(x1+(TIMEstep*k2/2),y1+(TIMEstep*l2/2));
+    l3:=ASg(x1+(TIMEstep*k2/2),y1+(TIMEstep*l2/2));
+    k4:=ASf(x1+(TIMEstep*k3),y1+(TIMEstep*l3));
+    l4:=ASg(x1+(TIMEstep*k3),y1+(TIMEstep*l3));
+    k5:=((k1)/6)+((k2)/3)+((k3)/3)+((k4)/6);
+    l5:=(l1/6)+(l2/3)+(l3/3)+(l4/6);
+    x2:=x1+(TIMEstep*k5);
+    y2:=y1+(TIMEstep*l5);}
+  \ODEline{z1}{z2}
+  \mfsrc{
+    if ((y2>yneg) and (y2<ypos) and (x2<xpos) and (x2>xneg)): x1:=x2; y1:=y2 fi;
+    endfor
+  }}
+
+\catcode`\@12\relax
+\endinput
+%%
+%% End of file `mfpic4ode.tex'.