LaTeX 算法代码排版 --latex2e范例总结

本是古典何须时尚 2023-06-23 14:21 8阅读 0赞

**LaTeX 写作： 算法代码排版 --latex2e范例总结**

**latex2e 宏包的使用范例：**

*  **\\usepackage\[ruled\]\{algorithm2e\}**                                     %算法排版样式1
 *  **\\usepackage\[ruled,vlined\]\{algorithm2e\}   **                       %算法排版样式2
 *  **\\usepackage\[linesnumbered,boxed\]\{algorithm2e\}**        %算法排版样式3

**使用上述代码中三种不同的宏包编译后的代码排版样式预览：**

**样式一：**

![format_png][]

**样式二：**

**![format_png 1][]**

**样式三：**

![format_png 2][]

**latex代码排版.tex文件： **

\documentclass{article}
    
     \usepackage[ruled]{algorithm2e}                 %算法排版样式1
    %\usepackage[ruled,vlined]{algorithm2e}          %算法排版样式2
    %\usepackage[linesnumbered,boxed]{algorithm2e}   %算法排版样式3
        
     \begin{document}
       
        How to use the algorithm2e in \LaTeX ~ file.
            
        Examples: 
    
    %    ------------------------------Example - 1---------------------------------------------
            \begin{algorithm}[H]
                \caption{How to write algorithms}
                \KwIn{this text}
                \KwOut{how to write algorithm with \LaTeX2e }
                
                initialization\;
                \While{not at end of this document}{
                    read current\;
                    \eIf{understand}
                    {
                            go to next section\;
                            current section becomes this one\;
                    }
                    {
                        go back to the beginning of current section\;
                    }
            }
        \end{algorithm}
        
    %    ---------------------------Example - 2------------------------------------------------
        \begin{algorithm} 
    %    \SetAlgoNoLine  %去掉之前的竖线
         \caption{identifyRowContext} 
          \KwIn{$r_i$, $Backgrd(T_i)$=${T_1,T_2,\ldots ,T_n}$ and similarity threshold $\theta_r$} 
          \KwOut{$con(r_i)$} 
            $con(r_i)= \Phi$\; 
            \For{$j=1;j \le n;j \ne i$} 
            { 
                float $maxSim=0$\; 
                $r^{maxSim}=null$\; 
                \While{not end of $T_j$} 
                { 
                    compute Jaro($r_i,r_m$)($r_m\in T_j$)\; 
                    \If{$(Jaro(r_i,r_m) \ge \theta_r)\wedge (Jaro(r_i,r_m)\ge r^{maxSim})$} 
                    { 
                        replace $r^{maxSim}$ with $r_m$\; 
                    } 
                } 
                $con(r_i)=con(r_i)\cup {r^{maxSim}}$\; 
            } 
            return $con(r_i)$\; 
        \end{algorithm}
        %--------------------------------------------------------------------------------------
    
     some special information
        The algorithm2e LaTeX package conflicts with several others over the use of the algorithm identifier.  A common indicator is something like this message: 
    To resolve the issues, simply put the following just before the inclusion of the algorithm2e package:
    
    %\makeatletter
    %\newif\if@restonecol
    %\makeatother
    %\let\algorithm\relax
    %\let\endalgorithm\relax
    
    \end{document}

中文latex模式下，更改Input为输入，更改Output为输出的方法： 在算法内部插入、

\\SetKwInOut\{KIN\}\{输入\}

\\SetKwInOut\{KOUT\}\{输出\}

用我们定义的新的宏名“\\KIN” 在算法开头相应位置替换掉自带的\\KwInput，用"\\KOUT" 替换掉\\KwOutput 即可，实现中文的输入和输出.

具体事例如下：

\renewcommand{\algorithmcfname}{算法}
    \begin{algorithm}[H]
    %\SetAlgoNoLine
    \SetKwInOut{KIN}{输入}
    \SetKwInOut{KOUT}{输出}
    %\BlankLine  %空一行
        \caption{标准DE算法 }
        \label{DE_algo} %
        \KIN{Population: $ M$; Dimension: $ D $; Genetation: $ T $ }
        \KOUT{The best vector (solution)  $ \varDelta $ }
        $ t \leftarrow 1 (initialization) $\;
        \For{$i=1$ to $ M $    }
        {\For{$j=1$ to $ D $}
            {
                $  {x}_{i,t}^j=x_{min}^j + rand(0,1)\cdotp (x_{max}^j-x_{min}^j) $\;
            }
        }        
        %--------------------------------------------------    
    \While{$(|f(\varDelta)| \geq\varepsilon )$      or     $(t \leq T )$}
        {
            \For{$ i=1$  to $M$}
            {
    \emph{$ \blacktriangleright $ (Mutation and Crossover)}\\            
    %\textit{ $ \blacktriangleright $ (Mutation and Crossover) }\\
                \For{$j=1$ to $ D $}
                {    
                    $ v_{i,t}^j =Mutation(x_{i,t}^j)$\;    
                    $ u_{i,t}^j =Crossover(x_{i,t}^j,v_{i,t}^j)$\;
                }
    \emph{$ \blacktriangleright $ (Greedy Selection)}\\
                %\textit{ $ \blacktriangleright $ (Greedy Selection) }\\
                \eIf{$ f(\textbf{u}_{i,t}) <  f(\textbf{x}_{i,t}) $}
                {
                    $  \textbf{x}_{i,t} \leftarrow\textbf{u}_{i,t}$\;    
                    \If{$  f(\textbf{x}_{i,t}) < f(\varDelta)$}
                    {
                        $ \varDelta \leftarrow \textbf{x}_{i,t}$ \;
                    }
                }
                {
                    $  \textbf{x}_{i,t} \leftarrow \textbf{x}_{i,t} $\;
                }
            }
            $ t \leftarrow t+1 $\;    
        }    %While        
        \Return the best vector  $\varDelta$\;
    \end{algorithm}

[format_png]: https://imgconvert.csdnimg.cn/aHR0cHM6Ly9pbWFnZXMyMDE1LmNuYmxvZ3MuY29tL2Jsb2cvNjQ3Mzk2LzIwMTYwOS82NDczOTYtMjAxNjA5MDIxMzM3NTUxOTktMTg3NTc5Mjg3LmpwZw?x-oss-process=image/format,png
[format_png 1]: https://imgconvert.csdnimg.cn/aHR0cHM6Ly9pbWFnZXMyMDE1LmNuYmxvZ3MuY29tL2Jsb2cvNjQ3Mzk2LzIwMTYwOS82NDczOTYtMjAxNjA5MDIxMzM5MTIwMTEtMTUxMzk5NTQwMi5qcGc?x-oss-process=image/format,png
[format_png 2]: https://imgconvert.csdnimg.cn/aHR0cHM6Ly9pbWFnZXMyMDE1LmNuYmxvZ3MuY29tL2Jsb2cvNjQ3Mzk2LzIwMTYwOS82NDczOTYtMjAxNjA5MDIxMzM5MjA5OTYtMjI1NjU1MTAuanBn?x-oss-process=image/format,png