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-rw-r--r--macros/latex/contrib/hitszthesis/back/appendix02.tex15
1 files changed, 12 insertions, 3 deletions
diff --git a/macros/latex/contrib/hitszthesis/back/appendix02.tex b/macros/latex/contrib/hitszthesis/back/appendix02.tex
index 0dd811b0ab..46975ad85a 100644
--- a/macros/latex/contrib/hitszthesis/back/appendix02.tex
+++ b/macros/latex/contrib/hitszthesis/back/appendix02.tex
@@ -94,11 +94,11 @@ that the feasible set $S$ is bounded. This fact is the basis of the {\em simplex
algorithm} which was developed by Dantzig as a very efficient method for
solving linear programming.
\begin{table}[ht]
-\centering
\centering
- \caption*{Table~1\hskip1em This is an example for manually numbered table, which
+ \appendixcaption{Table~1\hskip1em This is an example for manually numbered table, which
would not appear in the list of tables}
\label{tab:badtabular2}
+ \wuhao
\begin{tabular}[c]{|m{1.5cm}|c|c|c|c|c|c|}\hline
\multicolumn{2}{|c|}{Network Topology} & \# of nodes &
\multicolumn{3}{c|}{\# of clients} & Server \\\hline
@@ -109,7 +109,7 @@ solving linear programming.
\multirow{2}{1.2in}{Max. Connectivity}\\\cline{1-3}
\multicolumn{2}{|c|}{Inet-2.1} & 6000 & & & &\\\hline
& \multicolumn{2}{c|}{ABCDEF} &\multicolumn{4}{c|}{} \\\hline
-\end{tabular}
+ \end{tabular}
\end{table}
Roughly speaking, the simplex algorithm examines only the extreme points of the
@@ -119,6 +119,15 @@ selected so as to improve the objective function value. The procedure is
repeated until no improvement in objective function value can be made. The last
extreme point is the optimal solution.
+% 附录算法请用这个新环境 <algorithmen>
+\begin{algorithmen}
+ \wuhao
+ \DontPrintSemicolon
+ \KwData{$G=(X,U)$ such that $G^{tc}$ is an order.}
+ \KwResult{$G’=(X,V)$ with $V\subseteq U$ such that $G’^{tc}$ is an interval order.}
+ \caption{\textsc{Fast}SLAM}
+\end{algorithmen}
+
\subsection{Nonlinear Programming}
If at least one of the functions $f(x),g_j(x),j=1,2,\cdots,p$ is nonlinear, then