LATEX编写算法的代码
LaTeX算法排版例子
1）首先在导言区加入语句：
2）例1
-
\
begin{algorithm}
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\caption{A}
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\label{alg:A}
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\
begin{algorithmic}
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\STATE {
set $r(t)=x(t)$}
-
\
REPEAT
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\STATE
set $h(t)=r(t)$
-
\
REPEAT
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\STATE
set $h(t)=r(t)$
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\
UNTIL{B}
-
\
UNTIL{B}
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\
end{algorithmic}
-
\
end{algorithm}
排版结果如下：
3）例2
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\
begin{algorithm}
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\caption{Calculate $y = x^n$}
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\label{alg1}
-
\
begin{algorithmic}
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\REQUIRE $n \geq
0 \vee x \neq
0$
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\ENSURE $y = x^n$
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\STATE $y \Leftarrow
1$
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\IF{$n <
0$}
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\STATE $X \Leftarrow
1 / x$
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\STATE $N \Leftarrow -n$
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\ELSE
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\STATE $X \Leftarrow x$
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\STATE $N \Leftarrow n$
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\ENDIF
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\WHILE{$N \neq
0$}
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\IF{$N$ is even}
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\STATE $X \Leftarrow X \times X$
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\STATE $N \Leftarrow N /
2$
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\ELSE[$N$ is odd]
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\STATE $y \Leftarrow y \times X$
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\STATE $N \Leftarrow N -
1$
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\ENDIF
-
\ENDWHILE
-
\
end{algorithmic}
-
\
end{algorithm}
排版结果如下：
4）\renewcommand 改变现有命令的定义。在导言区加入如下语句：
-
\renewcommand{\algorithmicrequire}{ \textbf{
Input:}} %Use Input
in the format
of Algorithm
-
\renewcommand{\algorithmicensure}{ \textbf{
Output:}} %UseOutput
in the format
of Algorithm
使得原来软件包中定义的命令\REQUIRE和\ENSURE显示为Input:和Output:
一个例子如下：
-
\
begin{algorithm}[htb]
-
\caption{ Framework of ensemble learning
for our system.}
-
\label{
alg:Framwork}
-
\
begin{algorithmic}[
1] %这个
1 表示每一行都显示数字
-
\REQUIRE ~~\\ %算法的输入参数：Input
-
The set of positive samples
for current batch, $P_n$;\\
-
The set of unlabelled samples
for current batch, $U_n$;\\
-
Ensemble of classifiers on former batches, $E_{n-
1}$;
-
\ENSURE ~~\\ %算法的输出：Output
-
Ensemble of classifiers on the current batch, $E_n$;
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\STATE Extracting the set of reliable negative
and/
or positive samples $T_n$ from $U_n$ with help of $P_n$;
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\label{
code:
fram:extract }%对此行的标记，方便在文中引用算法的某个步骤
-
\STATE Training ensemble of classifiers $E$ on $T_n \cup P_n$, with help of data
in former batches;
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\label{
code:
fram:trainbase}
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\STATE $E_n=E
_{n-
1}\cup E$;
-
\label{
code:
fram:add}
-
\STATE Classifying samples
in $U_n-T_n$ by $E_n$;
-
\label{
code:
fram:classify}
-
\STATE Deleting some weak classifiers
in $E_n$ so as to keep the capacity of $E_n$;
-
\label{
code:
fram:select}
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\RETURN $E_n$; %算法的返回值
-
\
end{algorithmic}
-
\
end{algorithm}
排版结果如下：
5）最后一个例子
-
\
begin{algorithm}[h]
-
\caption{An example
for format For \& While Loop
in Algorithm}
-
\
begin{algorithmic}[
1]
-
\FOR{each $i \
in [
1,
9]$}
-
\STATE initialize a tree $T_{i}$ with only a leaf (the root);\
-
\STATE $T=T \cup T
_{i};$\
-
\ENDFOR
-
\FORALL {$c$ such that $c \
in RecentMBatch(E
_{n-
1})$}
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\label{
code:
TrainBase:getc}
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\STATE $T=T \cup PosSample(c)$;
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\label{
code:
TrainBase:pos}
-
\ENDFOR
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\FOR{$i=
1$; $i
-
\STATE $//$ Your source here;
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\ENDFOR
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\FOR{$i=
1$ to $n$}
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\STATE $//$ Your source here;
-
\ENDFOR
-
\STATE $//$ Reusing recent base classifiers.
-
\label{
code:recentStart}
-
\WHILE {$(
|E_n| \leq L_1 )
and( D \neq \phi)$}
-
\STATE Selecting the most recent classifier $c_i$ from $D$;
-
\STATE $D=D-c_i$;
-
\STATE $E_n=E_n+c_i$;
-
\ENDWHILE
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\label{
code:recentEnd}
-
\
end{algorithmic}
-
\
end{algorithm}
排版结果如下：
