Merge branch 'master' of https://whale.am28.uni-tuebingen.de/git/teaching/scientificComputing

header.tex

@@ -5,7 +5,7 @@
 \author{{\LARGE Jan Grewe \& Jan Benda}\\[5ex]Abteilung Neuroethologie\\[2ex]%
         \includegraphics[width=0.3\textwidth]{UT_WBMW_Rot_RGB}\vspace{3ex}}
 
-\date{WS 2019/2020\\\vfill%
+\date{WS 2020/2021\\\vfill%
       \centerline{\includegraphics[width=0.7\textwidth]{announcements/correlationcartoon}%
       \rotatebox{90}{\footnotesize\url{www.xkcd.com}}}}
 

programming/exercises/variables_types.tex

@@ -15,7 +15,7 @@
 %%%%% text size %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \usepackage[left=20mm,right=20mm,top=25mm,bottom=25mm]{geometry}
 \pagestyle{headandfoot}
-\header{{\bfseries\large Exercise 1}}{{\bfseries\large Variables und Datatypes}}{{\bfseries\large 15. Oktober, 2019}}
+\header{{\bfseries\large Exercise 1}}{{\bfseries\large Variables und Datatypes}}{{\bfseries\large 03. November, 2020}}
 \firstpagefooter{Dr. Jan Grewe}{Phone: 29 74588}{Email:
   jan.grewe@uni-tuebingen.de}
 \runningfooter{}{\thepage}{}

programming/exercises/vectors.tex

@@ -14,7 +14,7 @@
 %%%%% text size %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \usepackage[left=20mm,right=20mm,top=25mm,bottom=25mm]{geometry}
 \pagestyle{headandfoot}
-\header{{\bfseries\large Exercise 2}}{{\bfseries\large Vectors}}{{\bfseries\large 17. Oktober, 2019}}
+\header{{\bfseries\large Exercise 2}}{{\bfseries\large Vectors}}{{\bfseries\large 03. November, 2020}}
 \firstpagefooter{Dr. Jan Grewe}{Phone: 29 74588}{Email:
   jan.grewe@uni-tuebingen.de}
 \runningfooter{}{\thepage}{}
@@ -41,7 +41,7 @@ lecture. You should try to solve them on your own. Your solution
 should be submitted as a single script (m-file) in the Ilias
 system. Each task should be solved in its own ``cell''. Each cell must
 be executable on its own. The file should be named according to the
-following pattern: ``variables\_datatypes\_\{lastname\}.m''
+following pattern: ``vectors\_\{lastname\}.m''
 (e.g. vectors\_mueller.m).
 
 \begin{questions}
@@ -159,7 +159,7 @@ following pattern: ``variables\_datatypes\_\{lastname\}.m''
     \begin{solution}
       \code{x = linspace(0, 99, 100);}
     \end{solution}
-    \part use \code{disp()) to display the first, last, fifth, 24th and the second-to-last value on the command line.
+    \part use \code{disp()} to display the first, last, fifth, 24th and the second-to-last value on the command line.
     \begin{solution}
       \code{disp(x(1))\\ disp(x(end))\\ disp(x(5))\\ disp(x(24))\\ disp(x(end-1))}
     \end{solution}

programming/exercises/vectors_matrices.tex

@@ -14,7 +14,7 @@
 %%%%% text size %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \usepackage[left=20mm,right=20mm,top=25mm,bottom=25mm]{geometry}
 \pagestyle{headandfoot}
-\header{{\bfseries\large Exercise 2}}{{\bfseries\large Vectors}}{{\bfseries\large 18. Oktober, 2017}}
+\header{{\bfseries\large Exercise 2}}{{\bfseries\large Vectors}}{{\bfseries\large 03. November, 2020}}
 \firstpagefooter{Dr. Jan Grewe}{Phone: 29 74588}{Email:
   jan.grewe@uni-tuebingen.de}
 \runningfooter{}{\thepage}{}

programming/lecture/programming.tex

@@ -18,7 +18,7 @@ simple.
 
 The ultimate goal of scientific computing is to analyze gathered data,
 correlate it with e.g. the stimulus conditions and infer rules and
-dependencies. These may be used to constrain model that allow us to
+dependencies. These may be used to constrain models which allow us to
 understand and predict a system's behavior. In order to work with data
 we need to store it somehow. For this purpose we use containers called
 \emph{variables}.  Variables store the data and are named for easier
@@ -83,8 +83,8 @@ the \code{double} (a numeric data type, see below) data type. In
 line 9, however, we create a variable \varcode{z} and assign the
 character ``A'' to it. Accordingly, \varcode{z} does not have the
 numeric \code{double} data type but is a
-\enterm{character} type. \textbf{Note:} \matlab{} uses single quotes for
-both characters or strings of characters.
+\enterm{character} type. \textbf{Note:} \matlab{} uses single quotes
+for characters and double quotes for strings of characters.
 
 There are two ways to find out the actual data type of a variable: the
 \code{class()} and the \code{whos} functions. While \code{class()}
@@ -190,8 +190,8 @@ represented (table~\ref{dtypestab}).
     Data type & memory demand & range & example \erh \\ \hline
     \code{single} & 32 bit & $\approx -3.4^{38}$ to $\approx 3.4^{38}$ & Floating point numbers.\erb \\ 
     \code{double} & 64 bit & $\approx -10^{308}$ to $\approx 10^{308}$ &
-    Floating point numbers.\erb\\ \code{int} & 64 bit & $-2^{31}$
-    to $2^{31}-1$ & Integer values. \\ \code{int16} & 16 bit &
+    Floating point numbers.\erb\\ \code{int} & 64 bit & $-2^{63}$
+    to $2^{63}-1$ & Integer values. \\ \code{int16} & 16 bit &
     $-2^{15}$ to $2^{15}-1$ & Digitizes measurements. \\ \code{uint8}
     & 8 bit & $0$ bis $255$ & Digitized intensities of colors in
     images. \\ \hline
@@ -402,6 +402,17 @@ ans =
   could you find out the size of the \varcode{a} in the 2nd dimension?
 \end{exercise}
 
+\begin{important}[The : (colon) operator]
+  The colon \code[Operator!colon@:]{:} operator is often used when working with vectors. It has multiple purposes.
+  \begin{enumerate}
+    \item In the simplest form,  \code{x = a:b} with \code{a} and \code{b} being two numbers, it creates 
+  a vector \code{x} containing the numbers \code{a} to \code{b} in integer steps. In \matlab{} the borders $a$ and $b$ are included $[a, b]$ or $a\leq x \leq b$.
+    \item In the form \code{x = a:c:b} the vector \code{x} uses a \emph{stepsize} of \code{c} to create the range of numbers.
+    \item When used in the context of indexing such as \code{x(:)} all elements of the vector x are accessed.
+    \item As vectors are often used for indexing in other vectors one use the colon operator to create such vectors implicitely, e.g. \varcode{x(1:2:end)} to access every seond element of \code{x}. 
+  \end{enumerate}  
+\end{important}
+
 \subsubsection{Operations on vectors}
 
 Similarly to the scalar variables discussed above we can work with