updated layout for advanced topics chapter

book/c_advanced/visualizing_algorithms.tex

@@ -59,7 +59,6 @@ \subsubsection{Continuous Function Optimization}
 Listing~\ref{basin_1d} provides the Gnuplot script used to prepare the plot ($n=1$).
 
 \begin{lstlisting}[caption=Gnuplot script for plotting the Basin function in one-dimension., label=basin_1d]
-unset key
 set xrange [-5:5]
 plot x*x
 \end{lstlisting}
@@ -76,7 +75,6 @@ \subsubsection{Continuous Function Optimization}
 Listing~\ref{basin_2d} provides the Gnuplot script used to prepare the surface plot.
 
 \begin{lstlisting}[caption=Gnuplot script for plotting the Basin function in two-dimensions, label=basin_2d]
-unset key
 set xrange [-5:5]
 set yrange [-5:5]
 set zrange [0:50]
@@ -103,7 +101,6 @@ \subsubsection{Traveling Salesman Problem}
 Listing~\ref{tsp1} provides the Gnuplot script used to prepare the plot, where \texttt{berlin52.tsp} is a file that contains a listing of the coordinates of all cities, one city per line separated by white space. 
 
 \begin{lstlisting}[caption=Gnuplot script for plotting the Berlin52 Traveling Salesman Problem., label=tsp1]
-unset key
 plot "berlin52.tsp"
 \end{lstlisting}
 
@@ -144,7 +141,6 @@ \subsubsection{Single Algorithm Run}
 Listing~\ref{ga_performance} provides the Gnuplot script used to prepare the plot, where \texttt{ga1.txt} is a text file that provides the fitness of the best solution each algorithm iteration on a new line.
 
 \begin{lstlisting}[caption=Gnuplot script for creating a line graph of algorithm performance over time., label=ga_performance]
-unset key
 set yrange [45:64]
 plot "ga1.txt" with linespoints
 \end{lstlisting}
@@ -176,7 +172,6 @@ \subsubsection{Multiple Algorithm Runs}
 Listing~\ref{ga_runs} provide the Gnuplot script used to prepare the plot, where \texttt{ga2.histogram.txt} is a text file that contains discrete fitness values and the number of times it was discovered by the algorithm over 100 runs.
 
 \begin{lstlisting}[caption=Gnuplot script for creating a histogram of algorithm performance from multiple runs., label=ga_runs]
-unset key
 set yrange [0:17]
 set xrange [275:290]
 plot "ga2.histogram.txt" with boxes
@@ -211,7 +206,6 @@ \subsubsection{Multiple Distributions of Algorithm Runs}
 Listing~\ref{ea_comparison} provide the Gnuplot script used to prepare the plot, where the file \texttt{boxplots1.txt} contains summaries of the results one run per line, each each line containing the min, first, second, and third quartiles and the max values separated by a space.
 
 \begin{lstlisting}[caption=Gnuplot script for creating a boxplot., label=ea_comparison]
-unset key
 set bars 15.0
 set xrange [-1:3]
 plot 'boxplots1.txt' using 0:2:1:5:4 with candlesticks whiskerbars 0.5
@@ -239,17 +233,17 @@ \subsubsection{Continuous Function Optimization}
 % example
 Figure~\ref{plot:pso1} provides a plot of the best solution found each iteration by the Particle Swarm Optimization algorithm on the Basin function in two dimensions (see Section~\ref{sec:pso}). The positions of the candidate solutions are projected on top of a contour map of the Basin function in two-dimensions, with contours representing the cost of solutions at each point. 
 
-\begin{figure}[htp]
+\begin{figure}[ht]
 \centering
-\includegraphics[scale=0.5]{graphics/pso1.pdf}
+% trim=l b r t
+\includegraphics[trim = 2in 1.5in 2in 1.5in, clip, scale=0.5]{graphics/pso1.pdf}
 \caption{Contour plot of the basin function showing the position of selected samples in the domain.}
 \label{plot:pso1}
 \end{figure}
 
 Listing~\ref{pso1} provides the Gnuplot script used to prepare the plot, where \texttt{pso1.txt} is a file that contains the coordinates of the best solution found by the algorithm, with one coordinate per line separated by a space.
 
 \begin{lstlisting}[caption=Gnuplot script use to create a contour plot and the position of selected samples from the domain., label=pso1]
-unset key
 set xrange [-5:5]
 set yrange [-5:5]
 set pm3d map
@@ -290,7 +284,6 @@ \subsubsection{Traveling Salesman Problem}
 Listing~\ref{tsp3} provides the Gnuplot script used to prepare the plot, where \texttt{berlin52.nn.tour} is a file that contains a listing of the coordinates of all cities in order that the cities are visited with one city per line separated by white space. The first city in the tour is repeated as the last city in the tour to provide a closed polygon in the plot.
 
 \begin{lstlisting}[caption=Gnuplot script for plotting a tour for a Traveling Salesman Problem., label=tsp3]
-unset key
 plot "berlin52.nn.tour" with linespoints
 \end{lstlisting}
 
@@ -317,7 +310,6 @@ \subsubsection{Traveling Salesman Problem}
 Listing~\ref{tsp2} provides the Gnuplot script used to prepare the plot, where \texttt{berlin52.optimal} is a file that contains a listing of the coordinates of all cities in order that the cities are visited with one city per line separated by white space. The first city in the tour is repeated as the last city in the tour to provide a closed polygon in the plot.
 
 \begin{lstlisting}[caption=Gnuplot script for plotting a tour for a Traveling Salesman Problem., label=tsp2]
-unset key
 plot "berlin52.optimal" with linespoints
 \end{lstlisting}
 

workspace/67-visualization/book/generate_all.sh

@@ -67,7 +67,7 @@ END
 gnuplot <<END
 set terminal postscript
 set output "pso1.ps"
-set size 4/5., 3/3.
+set size square
 unset key
 set xrange [-5:5]
 set yrange [-5:5]