论文算法伪代码word_中文伪代码

论文算法伪代码word_中文伪代码论文伪代码实现,Overleaf在线编辑,LaTex公式编辑

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WPS插入LaTeX伪代码_taoyafan的博客-CSDN博客_wps 伪代码

X:https://jingyan.baidu.com/article/08b6a591969d5a14a8092294.html

最新!如何在WPS/WORD中解决Aurora的运行问题_啦啦啦守望之海的博客-CSDN博客

直接上LaTex:用上Latex实现编辑伪代码 – hqium – 博客园

在不能使用梯子的情况,解决问题太难了。

最后选择在线编辑,固然是一种趋势,毕竟可以放肆地跨平台线上操作。

overleaf在线编辑Log in to Overleaf – Overleaf, 在线LaTeX编辑器

参考写法:LaTeX写伪代码_东明山庄的博客-CSDN博客_latex 伪代码

算法伪代码可视化与代码(示例一)论文算法伪代码word_中文伪代码

\documentclass[8pt,twocolumn]{ctexart}
%\usepackage{amssymb}
%\usepackage{bm}
%\usepackage{textcomp} %命令\textacutedbl的包,二阶导符号

% Page length commands go here in the preamble
%\setlength{\oddsidemargin}{-0.25in} % Left margin of 1 in + 0 in = 1 in
\setlength{\textwidth}{12in}   % 指定显示纸张宽度Right margin of 8.5 in - 1 in - 6.5 in = 1 in
%\setlength{\topmargin}{-.75in}  % Top margin of 2 in -0.75 in = 1 in
%\setlength{\textheight}{9.2in}  % Lower margin of 11 in - 9 in - 1 in = 1 in
%\setlength{\parindent}{0in}


% 前期准备——start
\makeatletter
\newif\if@restonecol
\makeatother
\let\algorithm\relax
\let\endalgorithm\relax
\usepackage[linesnumbered,ruled,vlined]{algorithm2e}%[ruled,vlined]{
\usepackage{algpseudocode}
\usepackage{amsmath}
\renewcommand{\algorithmicrequire}{\textbf{Input:}}  % Use Input in the format of Algorithm
\renewcommand{\algorithmicensure}{\textbf{Output:}} % Use Output in the format of Algorithm 
% 前期准备——end

\begin{document}

% 主体algorithm部分——start
    \begin{algorithm}
        
        \caption{Service checkpoint image storage node and routing path selection}
        
        \LinesNumbered
        
        \KwIn{host server $PM_s$ that $SerImg_k$ is fetched from, $subnet_s$ that $PM_s$ belongs to, $pod_s$ that $PM_s$ belongs to}
        
        \KwOut{Service image storage server $storageserver$,and the image transfer path $path$}
        
        $storageserver$ = Storage node selection($PM_s$, $SerImg_k$, $subnet_s$, $pod_s$)\;
        
        
        \If{ $storageserver$ $\neq$ null}
        {
             select a path from $storageserver$ to $PM_s$ and assign the path to $path$\;
        }
        
        \textbf{final} \;
        
        \textbf{return} $storageserver$ and $path$;
        
    \end{algorithm}
% 主体algorithm部分——end

\end{document}

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 算法伪代码可视化与代码(示例二)论文算法伪代码word_中文伪代码

\documentclass[18pt,twocolumn]{ctexart}
%\usepackage{amssymb}
%\usepackage{bm}
%\usepackage{textcomp} %命令\textacutedbl的包,二阶导符号

% Page length commands go here in the preamble
%\setlength{\oddsidemargin}{-0.25in} % Left margin of 1 in + 0 in = 1 in
\setlength{\textwidth}{12in}   % 纸张宽度Right margin of 8.5 in - 1 in - 6.5 in = 1 in
%\setlength{\topmargin}{-.75in}  % Top margin of 2 in -0.75 in = 1 in
%\setlength{\textheight}{9.2in}  % Lower margin of 11 in - 9 in - 1 in = 1 in
%\setlength{\parindent}{0in}

% 前期准备——start
\makeatletter
\newif\if@restonecol
\makeatother
\let\algorithm\relax
\let\endalgorithm\relax
\usepackage[linesnumbered,ruled,vlined]{algorithm2e}%[ruled,vlined]{
\usepackage{algpseudocode}
\usepackage{amsmath}
\renewcommand{\algorithmicrequire}{\textbf{Input:}}  % Use Input in the format of Algorithm
\renewcommand{\algorithmicensure}{\textbf{Output:}} % Use Output in the format of Algorithm 
% 前期准备——end

\begin{document}
\begin{algorithm}
  \caption{identify Row Context}
  \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}
\end{document}

 算法伪代码可视化与代码(示例三)论文算法伪代码word_中文伪代码

\documentclass[8pt,twocolumn]{ctexart}
%\usepackage{amssymb}
%\usepackage{bm}
%\usepackage{textcomp} %命令\textacutedbl的包,二阶导符号

% Page length commands go here in the preamble
%\setlength{\oddsidemargin}{-0.25in} % Left margin of 1 in + 0 in = 1 in
\setlength{\textwidth}{12in}   % 纸张宽度Right margin of 8.5 in - 1 in - 6.5 in = 1 in
%\setlength{\topmargin}{-.75in}  % Top margin of 2 in -0.75 in = 1 in
%\setlength{\textheight}{9.2in}  % Lower margin of 11 in - 9 in - 1 in = 1 in
%\setlength{\parindent}{0in}

% 前期准备——start
\makeatletter
\newif\if@restonecol
\makeatother
\let\algorithm\relax
\let\endalgorithm\relax
\usepackage[linesnumbered,ruled,vlined]{algorithm2e}%[ruled,vlined]{
\usepackage{algpseudocode}
\usepackage{amsmath}
\renewcommand{\algorithmicrequire}{\textbf{Input:}}  % Use Input in the format of Algorithm
\renewcommand{\algorithmicensure}{\textbf{Output:}} % Use Output in the format of Algorithm 
% 前期准备——end

\begin{document}
    \begin{algorithm}[htb]
        \caption{ Framework of ensemble learning for our system.}
        \label{alg:Framwork}
        \begin{algorithmic}[1]
            \Require
            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
            Ensemble of classifiers on the current batch, $E_n$;
            
            \State Extracting the set of reliable negative and/or positive samples $T_n$ from $U_n$ with help of $P_n$;
            \label{code:fram:extract}
            
            \State Training ensemble of classifiers $E$ on $T_n \cup P_n$, with help of data in former batches;
            \label{code:fram:trainbase}
            
            \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} \\
            
            \Return $E_n$;
        \end{algorithmic}
    \end{algorithm}
\end{document}
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