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[script] solutions of exercises at end of chapters

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This commit is contained in:
Jan Benda 2019-12-01 00:21:07 +01:00
parent 50458f7f98
commit 1e3ec8944e
19 changed files with 190 additions and 280 deletions
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4
bootstrap/lecture/bootstrap.tex
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@ -191,3 +191,7 @@ Estimate the statistical significance of a correlation coefficient.
coefficient computed from the original data. coefficient computed from the original data.
\end{enumerate} \end{enumerate}
\end{exercise} \end{exercise}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\printsolutions

2
chapter.mk
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@ -46,7 +46,7 @@ watchchapter :
cleanchapter : cleanpythonplots cleangnuplots cleanchapter : cleanpythonplots cleangnuplots
rm -f *~ rm -f *~
rm -f $(BASENAME).aux $(BASENAME).log rm -f $(BASENAME).aux $(BASENAME).log
rm -f $(BASENAME)-chapter.aux $(BASENAME)-chapter.log $(BASENAME)-chapter.out $(BASENAME)-chapter.idx rm -f $(BASENAME)-chapter.aux $(BASENAME)-chapter.log $(BASENAME)-chapter.out $(BASENAME)-chapter.idx $(BASENAME)-chapter-solutions.tex
cleanallchapter : cleanchapter cleanallchapter : cleanchapter

3
debugging/lecture/debugging.tex
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@ -505,3 +505,6 @@ The debugger offers some more (advanced) features but the
functionality offered by the basic tools is often enough to debug a functionality offered by the basic tools is often enough to debug a
program. program.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%\printsolutions

4
designpattern/lecture/designpattern.tex
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@ -168,3 +168,7 @@ x = randi(6, 100, 1); % Some integer-valued data.
h = h/sum(h); % Normalize to probability. h = h/sum(h); % Normalize to probability.
bar(b, h); % Plot the probabilities. bar(b, h); % Plot the probabilities.
\end{lstlisting} \end{lstlisting}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%\printsolutions

53
header.tex
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@ -285,7 +285,6 @@
\usepackage{mdframed} \usepackage{mdframed}
\usepackage{xstring} \usepackage{xstring}
\newlistof{exercisef}{loe}{\tr{Exercises}{\"Ubungen}} \newlistof{exercisef}{loe}{\tr{Exercises}{\"Ubungen}}
\newcommand{\codepath}{}
\DeclareFloatingEnvironment[ \DeclareFloatingEnvironment[
fileext=loe, fileext=loe,
name={\tr{Exercise}{\"Ubung}}, name={\tr{Exercise}{\"Ubung}},
@ -293,38 +292,44 @@
chapterlistsgaps=on, chapterlistsgaps=on,
]{exercisef} ]{exercisef}
\newboolean{showexercisesolutions} \newboolean{showexercisesolutions}
\setboolean{showexercisesolutions}{false} \setboolean{showexercisesolutions}{true}
\newwrite\solutions % file descriptor for writing solutions
% we need to know the name of the included file as \currentjobname:
\usepackage{xpatch}
\makeatletter
\def\currentjobname{\jobname}%
\xpretocmd{\include}{\def\currentjobname{#1}\immediate\openout\solutions=\currentjobname-solutions}{}{}
\makeatother
\usepackage{needspace}
\newenvironment{exercise}[2]% \newenvironment{exercise}[2]%
{ \newcommand{\exercisesource}{#1}% { \setlength{\fboxsep}{2mm}%
\newcommand{\exercisefile}{\protect\StrSubstitute{#1}{_}{\_}}%
\newcommand{\exerciseoutput}{#2}%
\setlength{\fboxsep}{2mm}%
\newcommand{\saveenumi}{\theenumi}\renewcommand{\labelenumi}{(\alph{enumi})}% \newcommand{\saveenumi}{\theenumi}\renewcommand{\labelenumi}{(\alph{enumi})}%
\captionsetup{singlelinecheck=off,hypcap=false,labelfont={large,sf,it,bf},% \captionsetup{singlelinecheck=off,hypcap=false,labelfont={large,sf,it,bf},%
font={large,sf,it,bf},skip={0.5ex}}% font={large,sf,it,bf},skip={0.5ex}}%
\begin{mdframed}[linewidth=0pt,backgroundcolor=exerciseback]% \begin{mdframed}[linewidth=0pt,backgroundcolor=exerciseback]%
\captionof{exercisef}[\exercisefile]{}% \captionof{exercisef}[\protect\StrSubstitute{#1}{_}{\_}]{}%
\captionsetup{font={normal,sf,it}}% \captionsetup{font={normal,sf,it}}%
\immediate\write\solutions{\unexpanded{%
\subsection}[Exercise \thechapter.\arabic{exercisef}]%
{\unexpanded{\needspace{4\baselineskip}}Exercise \thechapter.\arabic{exercisef}}}%
\immediate\write\solutions{\unexpanded{\label}{solution\arabic{exercisef}}}%
\immediate\write\solutions{\unexpanded{\lstinputlisting[belowskip=0ex,aboveskip=0ex,%
nolol=true, title={\textbf{Source code:} \protect\StrSubstitute{#1}{_}{\_}}]}{#1}}%
\ifthenelse{\equal{#2}{}}{}%
{\immediate\write\solutions{\unexpanded{\lstinputlisting[language={},%
nolol=true, title={\textbf{Output:}}, belowskip=0ex, aboveskip=1ex]}{#2}}}%
\immediate\write\solutions{}%
}% }%
{ \renewcommand{\theenumi}{\saveenumi}% { \ifthenelse{\boolean{showexercisesolutions}}%
\ifthenelse{\boolean{showexercisesolutions}}% {\hspace*{\fill}\hyperref[solution\arabic{exercisef}]{Solution}}{}%
{ \hypersetup{hypertexnames=false}% \renewcommand{\theenumi}{\saveenumi}%
\ifthenelse{\equal{\exercisesource}{}}{}%
{ \addtocounter{lstlisting}{-1}%
\lstinputlisting[belowskip=0pt,aboveskip=1ex,nolol=true,%
title={\textbf{\tr{Solution}{L\"osung}:} \exercisefile}]%
{\codepath\exercisesource}%
\ifthenelse{\equal{\exerciseoutput}{}}{}%
{ \addtocounter{lstlisting}{-1}%
\lstinputlisting[language={},title={\textbf{\tr{Output}{Ausgabe}:}},%
nolol=true,belowskip=0pt]%
{\codepath\exerciseoutput}%
}%
}%
\hypersetup{hypertexnames=true}%
}{}%
\end{mdframed}% \end{mdframed}%
} }
}
\newcommand{\printsolutions}{\immediate\closeout\solutions%
\ifthenelse{\boolean{showexercisesolutions}}{%
\clearpage\section{Solutions to the exercises}%
\input{\currentjobname-solutions}}{}}
\setlength{\cftexercisefindent}{1.2em} \setlength{\cftexercisefindent}{1.2em}
\setlength{\cftexercisefnumwidth}{2.6em} \setlength{\cftexercisefnumwidth}{2.6em}

4
likelihood/lecture/likelihood.tex
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@ -362,3 +362,7 @@ activity pattern in the population $r_1$, $r_2$, ... $r_n$ is thus
\[ {\cal L}(\phi|r_1, r_2, \ldots r_n) = \sum_{i=1}^n \log p_i(r_i|\phi) \] \[ {\cal L}(\phi|r_1, r_2, \ldots r_n) = \sum_{i=1}^n \log p_i(r_i|\phi) \]
The angle $\phi$ that maximizes this likelihood is then an estimate of The angle $\phi$ that maximizes this likelihood is then an estimate of
the orientation of the edge. the orientation of the edge.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\printsolutions

4
plotting/lecture/plotting.tex
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@ -778,3 +778,7 @@ Key ingredients for a good data plot:
thicker lines help. thicker lines help.
\item Error bars wherever they are appropriate. \item Error bars wherever they are appropriate.
\end{itemize} \end{itemize}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%\printsolutions

4
pointprocesses/lecture/pointprocesses.tex
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@ -551,3 +551,7 @@ kernel.
the same size as the original stimulus contained in file the same size as the original stimulus contained in file
\file{sta\_data.mat}. \file{sta\_data.mat}.
\end{exercise} \end{exercise}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\printsolutions

105
pointprocesses/lecture/pointprocessscetchA.eps
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@ -1,7 +1,7 @@
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pointprocesses/lecture/pointprocessscetchA.pdf
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Binary file not shown.

260
pointprocesses/lecture/pointprocessscetchB.eps
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@ -1,7 +1,7 @@
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%%Title: pointprocessscetchB.tex %%Title: pointprocessscetchB.tex
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/Subject (gnuplot plot) /Subject (gnuplot plot)
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/Author (grewe) /Author (jan)
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/CreationDate (Thu Oct 17 14:13:46 2019) /CreationDate (Sat Nov 30 23:19:23 2019)
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BIN
pointprocesses/lecture/pointprocessscetchB.pdf
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7
programming/lecture/programming.tex
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@ -1,5 +1,6 @@
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\chapter{Programming in \matlab}\label{programming} \chapter{Programming in \matlab}
\label{programming}
In this chapter we will cover the basics of programming in In this chapter we will cover the basics of programming in
\matlab{}. Starting with the concept of simple variables and data \matlab{}. Starting with the concept of simple variables and data
@ -1768,3 +1769,7 @@ legend('show')
duplication or it grows too large, it is high time to consider duplication or it grows too large, it is high time to consider
extracting features into separate functions. extracting features into separate functions.
\end{ibox} \end{ibox}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\printsolutions

6
programmingstyle/lecture/programmingstyle.tex
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@ -4,7 +4,6 @@
more months might as well have been written by someone more months might as well have been written by someone
else.}{Eagleson's law} else.}{Eagleson's law}
%\selectlanguage{ngerman}
Cultivating a good code style is not just a matter of good taste but Cultivating a good code style is not just a matter of good taste but
rather is a key ingredient for readability and maintainability of code rather is a key ingredient for readability and maintainability of code
and, in the end, facilitates reproducibility of scientific and, in the end, facilitates reproducibility of scientific
@ -36,7 +35,7 @@ of the program but two questions remain: (i) How to organize the files
on the file system and (ii) how to name them that the controlling on the file system and (ii) how to name them that the controlling
script is easily identified among the other \codeterm{m-files}. script is easily identified among the other \codeterm{m-files}.
Upon installation ``MATLAB'' creates a folder called \file{MATLAB} in Upon installation \matlab{} creates a folder called \file{MATLAB} in
the user space (Windows: My files, Linux: Documents, MacOS: the user space (Windows: My files, Linux: Documents, MacOS:
Documents). Since this folder is already appended to the Matlab search Documents). Since this folder is already appended to the Matlab search
path (Box~\ref{matlabpathbox}), it is easiest to stick to it for the path (Box~\ref{matlabpathbox}), it is easiest to stick to it for the
@ -427,4 +426,5 @@ readability and comprehensibility pays off, even to the author!
Johnson} Johnson}
\selectlanguage{english} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%\printsolutions

6
regression/lecture/regression.tex
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@ -1,6 +1,5 @@
\chapter{\tr{Optimization and gradient descent}{Optimierung und Gradientenabstieg}} \chapter{\tr{Optimization and gradient descent}{Optimierung und Gradientenabstieg}}
% \selectlanguage{ngerman}
To understand the behaviour of a given system sciences often probe the To understand the behaviour of a given system sciences often probe the
system with input signals and then try to explain the responses system with input signals and then try to explain the responses
through a model. Typically the model has a few parameter that specify through a model. Typically the model has a few parameter that specify
@ -356,7 +355,6 @@ large.
iteration of the algorithm.} \label{gradientdescentfig} iteration of the algorithm.} \label{gradientdescentfig}
\end{figure} \end{figure}
\setboolean{showexercisesolutions}{false}
\begin{exercise}{gradientDescent.m}{} \begin{exercise}{gradientDescent.m}{}
Implement the gradient descent for the problem of the linear Implement the gradient descent for the problem of the linear
equation for the measured data in file \file{lin\_regression.mat}. equation for the measured data in file \file{lin\_regression.mat}.
@ -407,4 +405,6 @@ designed for optimizations in the least square error sense
parameter increases complexity and is computationally expensive. parameter increases complexity and is computationally expensive.
\end{important} \end{important}
\selectlanguage{english}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\printsolutions

1
regression/lecture/regression_de.tex
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@ -368,7 +368,6 @@ Punkte in Abbildung \ref{gradientdescentfig} gro{\ss}.
Optimierungsschritt an.} \label{gradientdescentfig} Optimierungsschritt an.} \label{gradientdescentfig}
\end{figure} \end{figure}
\setboolean{showexercisesolutions}{false}
\begin{exercise}{gradientDescent.m}{} \begin{exercise}{gradientDescent.m}{}
Implementiere den Gradientenabstieg f\"ur das Problem der Implementiere den Gradientenabstieg f\"ur das Problem der
Parameteranpassung der linearen Geradengleichung an die Messdaten in Parameteranpassung der linearen Geradengleichung an die Messdaten in

1
scientificcomputing-script.tex
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@ -67,7 +67,6 @@
\lstset{inputpath=regression/code} \lstset{inputpath=regression/code}
\include{regression/lecture/regression} \include{regression/lecture/regression}
\setboolean{showexercisesolutions}{false}
\graphicspath{{likelihood/lecture/}{likelihood/lecture/figures/}} \graphicspath{{likelihood/lecture/}{likelihood/lecture/figures/}}
\lstset{inputpath=likelihood/code} \lstset{inputpath=likelihood/code}
\include{likelihood/lecture/likelihood} \include{likelihood/lecture/likelihood}

2
statistics/lecture/cumulative.py
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@ -15,7 +15,7 @@ gausscdf = np.cumsum(gauss)*dx
# plot: # plot:
plt.xkcd() plt.xkcd()
fig = plt.figure( figsize=(6, 2.6) ) fig = plt.figure( figsize=(6, 2.4) )
ax = fig.add_subplot(1, 1, 1) ax = fig.add_subplot(1, 1, 1)
ax.spines['right'].set_visible(False) ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False) ax.spines['top'].set_visible(False)

4
statistics/lecture/statistics.tex
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@ -500,3 +500,7 @@ insufficiently or not at all detected by the correlation coefficient
coefficients close to zero. $\xi$ denote normally distributed coefficients close to zero. $\xi$ denote normally distributed
random numbers.} random numbers.}
\end{figure} \end{figure}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\printsolutions