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Latex算法伪代码使用总结
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algorithmicx例子
相應(yīng)代碼：
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\documentclass[11pt]{ctexart}??\usepackage[top=2cm,?bottom=2cm,?left=2cm,?right=2cm]{geometry}??\usepackage{algorithm}??\usepackage{algorithmicx}??\usepackage{algpseudocode}??\usepackage{amsmath}????\floatname{algorithm}{算法}??\renewcommand{\algorithmicrequire}{\textbf{輸入:}}??\renewcommand{\algorithmicensure}{\textbf{輸出:}}????\begin{document}??????\begin{algorithm}??????????\caption{用歸并排序求逆序數(shù)}??????????\begin{algorithmic}[1]?%每行顯示行號(hào)??????????????\Require?$Array$數(shù)組，$n$數(shù)組大小??????????????\Ensure?逆序數(shù)??????????????\Function?{MergerSort}{$Array,?left,?right$}??????????????????\State?$result?\gets?0$??????????????????\If?{$left?<?right$}??????????????????????\State?$middle?\gets?(left?+?right)?/?2$??????????????????????\State?$result?\gets?result?+$?\Call{MergerSort}{$Array,?left,?middle$}??????????????????????\State?$result?\gets?result?+$?\Call{MergerSort}{$Array,?middle,?right$}??????????????????????\State?$result?\gets?result?+$?\Call{Merger}{$Array,left,middle,right$}??????????????????\EndIf??????????????????\State?\Return{$result$}??????????????\EndFunction??????????????\State??????????????\Function{Merger}{$Array,?left,?middle,?right$}??????????????????\State?$i\gets?left$??????????????????\State?$j\gets?middle$??????????????????\State?$k\gets?0$??????????????????\State?$result?\gets?0$??????????????????\While{$i<middle$?\textbf{and}?$j<right$}??????????????????????\If{$Array[i]<Array[j]$}??????????????????????????\State?$B[k++]\gets?Array[i++]$??????????????????????\Else??????????????????????????\State?$B[k++]?\gets?Array[j++]$??????????????????????????\State?$result?\gets?result?+?(middle?-?i)$??????????????????????\EndIf??????????????????\EndWhile??????????????????\While{$i<middle$}??????????????????????\State?$B[k++]?\gets?Array[i++]$??????????????????\EndWhile??????????????????\While{$j<right$}??????????????????????\State?$B[k++]?\gets?Array[j++]$??????????????????\EndWhile??????????????????\For{$i?=?0?\to?k-1$}??????????????????????\State?$Array[left?+?i]?\gets?B[i]$??????????????????\EndFor??????????????????\State?\Return{$result$}??????????????\EndFunction??????????\end{algorithmic}??????\end{algorithm}??\end{document}?? algorithm例子
前期準(zhǔn)備
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\usepackage{algorithm}??\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?? example 1
代碼：
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??\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}?? example 2
代碼：
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\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?$c\in?RecentMBatch(E_{n-1})$}????????\label{code:TrainBase:getc}????????\State?$T=T\cup?PosSample(c)$;????????\label{code:TrainBase:pos}??????\EndFor;??????\For{$i=1$;?$i<n$;?$i++$?}????????\State?$//$?Your?source?here;??????\EndFor??????\For{$i=1$?to?$n$}????????\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??????\label{code:recentEnd}????\end{algorithmic}??\end{algorithm}?? example 3
代碼：
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\begin{algorithm}[h]????\caption{Conjugate?Gradient?Algorithm?with?Dynamic?Step-Size?Control}????\label{alg::conjugateGradient}????\begin{algorithmic}[1]??????\Require????????$f(x)$:?objective?funtion;????????$x_0$:?initial?solution;????????$s$:?step?size;??????\Ensure????????optimal?$x^{*}$??????\State?initial?$g_0=0$?and?$d_0=0$;??????\Repeat????????\State?compute?gradient?directions?$g_k=\bigtriangledown?f(x_k)$;????????\State?compute?Polak-Ribiere?parameter?$\beta_k=\frac{g_k^{T}(g_k-g_{k-1})}{\parallel?g_{k-1}?\parallel^{2}}$;????????\State?compute?the?conjugate?directions?$d_k=-g_k+\beta_k?d_{k-1}$;????????\State?compute?the?step?size?$\alpha_k=s/\parallel?d_k?\parallel_{2}$;??????\Until{($f(x_k)>f(x_{k-1})$)}????\end{algorithmic}??\end{algorithm}?? example 4
代碼：
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\makeatletter??\def\BState{\State\hskip-\ALG@thistlm}??\makeatother??\begin{algorithm}??\caption{My?algorithm}\label{euclid}??\begin{algorithmic}[1]??\Procedure{MyProcedure}{}??\State?$\textit{stringlen}?\gets?\text{length?of?}\textit{string}$??\State?$i?\gets?\textit{patlen}$??\BState?\emph{top}:??\If?{$i?>?\textit{stringlen}$}?\Return?false??\EndIf??\State?$j?\gets?\textit{patlen}$??\BState?\emph{loop}:??\If?{$\textit{string}(i)?=?\textit{path}(j)$}??\State?$j?\gets?j-1$.??\State?$i?\gets?i-1$.??\State?\textbf{goto}?\emph{loop}.??\State?\textbf{close};??\EndIf??\State?$i?\gets?i+\max(\textit{delta}_1(\textit{string}(i)),\textit{delta}_2(j))$.??\State?\textbf{goto}?\emph{top}.??\EndProcedure??\end{algorithmic}??\end{algorithm}?? algorithm2e例子
algorithm2e包可能會(huì)與其它包產(chǎn)生沖突，一個(gè)常見的錯(cuò)誤提示是“Too many }'...”。為了解決這個(gè)問題，要在引入algorithm2e包之前加入下面的命令：
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\makeatletter??\newif\if@restonecol??\makeatother??\let\algorithm\relax??\let\endalgorithm\relax?? 所以前期準(zhǔn)備：
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\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??? example 1
代碼：
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\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}?? example 2
代碼：
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\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}?? example 3
代碼：
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\begin{algorithm}??\caption{Storage?node?selection}??\LinesNumbered??\KwIn{host?server?$PM_s$?that?the?checkpoint?image?$Img$?is?fetched?from,?$subnet_s$?that?$PM_s$?belongs?to,?$pod_s$?that?$PM_s$?belongs?to}??\KwOut{Image?storage?server?$storageserver$}????\For{?each?host?server?$PM_i$?in?the?same?subnet?with?$PM_s$?}??{??????\If{?$PM_i$?is?not?a?service?providing?node?or?checkpoint?image?storage?node?of?$S_k$?}??????{??????????add?$PM_i$?to?$candidateList$?\;??????}??}??sort?$candidateList$?by?reliability?desc\;??init?$storageserver$?;??\For{?each?$PM_k$?in?$candidateList$}??{????????????????\If{?$SP(PM_k)$?$\geq$?$E(SP)$?of?$pod_i$?and?$BM_k$?$\le$?size?of?$Img$?}???????????????{??????????????????assign?$PM_k$?to?$storageserver$\;??????????????????goto?final\;???????????????}??}??clear?$candidateList$\;??add?all?other?subnets?in?$pod_s$?to?$netList$\;??\For{?each?subnet?$subnet_j$?in?$netList$}??{??????????clear?$candidateList$\;??????????\For?{each?$PM_i$?in?$subnet_j$?}??????????{??????????????\If{?$PM_i$?is?not?a?service?providing?node?or?checkpoint?image?storage?node?of?$S_k$?}??????????????{??????????????????add?$PM_i$?to?$candidateList$\;??????????????}??????????}??????sort?all?host?in?$candidateList$?by?reliability?desc\;??????\For{?each?$PM_k$?in?$candidateList$}??????{????????????????\If{$SP(PM_k)$?$\geq$?$E(SP)$?of?$pod_i$?and?$BM_k$?$\le$?size?of?$Img$}??????????????{??????????????????assign?$PM_k$?to?$storageserver$?\;??????????????????goto?final\;??????????????}??????}??}??\textbf{final}?\;??\textbf{return}?$storageserver$;??\end{algorithm}?? example 4
代碼：
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\begin{algorithm}??\caption{Delta?checkpoint?image?storage?node?and?routing?path?selection}??\LinesNumbered??\KwIn{host?server?$PM_s$?that?generates?the?delta?checkpoint?image?$DImg_{kt}$,?$subnet_s$?that?$PM_s$?belongs?to,?$pod_s$?that?$PM_s$?belongs?to}??\KwOut{Delta?image?storage?server?$storageserver$,and?the?image?transfer?path?$Path$}??$storageserver$?=?Storage?node?selection($PM_s$,?$DImg_{kt}$,$subnet_s$,$pod_s$)\;??\If{?$storageserver$?$\equiv$?null}??{???????the?delta?checkpoint?image?is?stored?in?the?central?storage?server\;???????goto?final\;??}??construct?weighted?topological?graph?$graph_s$?of?$pod_s$\;??calculate?the?shortest?path?from?$storageserver$?to?$PM_s$?in?$graph_s$?by?using?the?Dijkstra?algorithm\;??\textbf{final}?\;??\textbf{return}?$storageserver$?and?$path$;??\end{algorithm}?? example 5
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\documentclass[8pt,twocolumn]{ctexart}??\usepackage{amssymb}??\usepackage{bm}??\usepackage{textcomp}?%命令\textacutedbl的包,二階導(dǎo)符號(hào)????%?Page?length?commands?go?here?in?the?preamble??\setlength{\oddsidemargin}{-0.25in}?%?Left?margin?of?1?in?+?0?in?=?1?in??\setlength{\textwidth}{9in}???%?紙張寬度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}??????\makeatletter??\newif\if@restonecol??\makeatother??\let\algorithm\relax??\let\endalgorithm\relax??\usepackage[linesnumbered,ruled,vlined]{algorithm2e}%[ruled,vlined]{??\usepackage{algpseudocode}??\renewcommand{\algorithmicrequire}{\textbf{Input:}}???\renewcommand{\algorithmicensure}{\textbf{Output:}}?????\begin{document}????\begin{algorithm}??\caption{component?matrices?computing}??\LinesNumbered??\KwIn{$\mathcal{X}\in\mathbb{R}^{l_1\times?l_2\times\cdots\times?l_N},\varepsilon,\lambda,\delta,R$}??\KwOut{$A^{(j)}s$?for?$j=1$?to?$N$}??\textbf{Initialize}?all?$A^{(j)}s$?//which?can?be?seen?as?the?$0^{th}$?round?iterations\;????{$l$\hspace*{-1pt}\textacutedbl}$=L$?//if?we?need?to?judge?whether?$(11)$?is?true?then?{$l$\hspace*{-1pt}\textacutedbl}?denotes?$L|_{t-1}$\;????\For{?each?$A_{i_jr}^{{j}}(1\le?j\le?N,1\le?i_j\le?I_j,1\le?r\le?R)$?}??{//$1^{st}$?round?iterations\;??????$g_{i_jr}^{(j)'}=g_{i_jr}^{(j)}$\;??????$A_{i_jr}^{(j)'}=A_{i_jr}^{(j)}$//if?the?rollback?shown?as?$(12)$?is?needed,$A_{i_jr}^{(j)'}$?denotes?$A_{i_jr}^{(j)}|_{t-1}$\;??????$A_{i_jr}^{(j)}=A_{i_jr}^{(j)}-\mathrm{{\bf?sign}}\left(g_{i_jr}^{(j)}\right)\cdot\delta_{i_jr}^{(j)}$\;??}????\Repeat(//other?rounds?of?iterations?for?computing?component?matrices){$\bm{L\le?\varepsilon}$?or?maximum?iterations?exhausted}??{??????$l'=L$?//if?we?need?to?judge?whether?$(11)$?is?true?then?$l'$?denotes?$L|_t$\;??????\For{?each?$A_{i_jr}^{{j}}(1\le?j\le?N,1\le?i_j\le?I_j,1\le?r\le?R)$}??????{??????????\If{$g_{i_jr}^{(j)}\cdot?g_{i_jr}^{(j)'}>0$}??????????{??????????????????$A_{i_jr}^{(j)'}=A_{i_jr}^{(j)}?$\;??????????????????$g_{i_jr}^{(j)'}=g_{i_jr}^{(j)}?$\;??????????????????$\delta_{i_jr}^{(j)}=\bm{\min}\left(\delta_{i_jr}^{(j)}\cdot\eta^{+},Max\_Step\_Size\right)$\;??????????????????$A_{i_jr}^{(j)}=A_{i_jr}^{(j)}-\mathrm{{\bf?sign}}\left(g_{i_jr}^{(j)}\right)\cdot\delta_{i_jr}^{(j)}$\;??????????}??????????\ElseIf{$g_{i_jr}^{(j)}\cdot?g_{i_jr}^{(j)'}<0$}??????????{??????????????\If{$l'>l$\hspace*{-1pt}\textacutedbl}??????????????{??????????????????$g_{i_jr}^{(j)'}=g_{i_jr}^{(j)}$\;??????????????????$A_{i_jr}^{(j)}=A_{i_jr}^{(j)'}$//?if?$(11)$?is?true?then?rollback?as?$(12)$\;??????????????????$\delta_{i_jr}^{(j)}=\bm{\max}\left(\delta_{i_jr}^{(j)}\times\eta^{-},Min\_Step\_Size\right)$\;??????????????}??????????????\Else??????????????{??????????????????$A_{i_jr}^{(j)'}=A_{i_jr}^{(j)}?$\;??????????????????$g_{i_jr}^{(j)'}=g_{i_jr}^{(j)}?$\;??????????????????$\delta_{i_jr}^{(j)}=\bm{\max}\left(\delta_{i_jr}^{(j)}\cdot\eta^{-},Min\_Step\_Size\right)$\;??????????????????$A_{i_jr}^{(j)}=A_{i_jr}^{(j)}-\mathrm{{\bf?sign}}\left(g_{i_jr}^{(j)}\right)\cdot\delta_{i_jr}^{(j)}$\;??????????????}??????????}??????????\Else??????????{??????????????????$A_{i_jr}^{(j)'}=A_{i_jr}^{(j)}?$\;??????????????????$g_{i_jr}^{(j)'}=g_{i_jr}^{(j)}?$\;??????????????????$A_{i_jr}^{(j)}=A_{i_jr}^{(j)}-\mathrm{{\bf?sign}}\left(g_{i_jr}^{(j)}\right)\cdot\delta_{i_jr}^{(j)}$\;??????????}??????}??????$l$\hspace*{-1pt}\textacutedbl$=l'$\;??}??\end{algorithm}??\end{document}?? example 6
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\usepackage[ruled,linesnumbered]{algorithm2e}??\usepackage{amsmath}????\begin{algorithm}??????\caption{Learning?algorithm?of?R2P}??????\label{alg:r2p}??????\KwIn{ratings?$R$,?joint?demographic?representations?$Y$,learning?rate?$\eta$,maximum?iterative?number?$maxIter$,?negative?sampling?number?$k$\;}??????\KwOut{interaction?matrix?$\bm{W}$,?movie?vectors?$V$\;}??????Initialize?$\bm{W},V$?randomly\;??????$t?=?0$\;??????For?convenience,?define?$\vec{\varphi}_n?=?\sum_{m\in?S_n}r_{m,n}\vec{v}_m$\;?%\varphi_n\bm{W}\vec{y}_n??????\While{not?converged?\rm{or}?$t>maxIter$}??????{????????t?=?t+1\;????????\For{$n=1;n?\le?N;n++$}????????{??????????$\bm{W}?=?\bm{W}+\eta\big(1-\sigma\left(\vec{\varphi}_n^T\bm{W}\vec{y}_n\right)\big)\vec{\varphi}_n\vec{y}_n^T$\;\label{algline:W}??????????\For{$m\in?S_n$}??????????{??????????????$\vec{v}_m=\vec{v}_m+?\eta\left(1-\sigma\left(\vec{\varphi}_n^T\bm{W}\vec{y}_n\right)\right)r_{m,n}\bm{W}\vec{y}_n$\;\label{algline:V}??????????}??????????\For{$i=1;i\le?k;i++$}??????????{??????????????sample?negative?sample?$\vec{y}_i$?from?$P_n$\;??????????????$\bm{W}?=?\bm{W}-\eta\big(1-\sigma\left(-\vec{\varphi}_n^T\bm{W}\vec{y}_n\right)\big)\vec{\varphi}_n\vec{y}_i^T$\;??????????????\For{$m\in?S_n$}??????????????{??????????????????$\vec{v}_m=\vec{v}_m-?\eta\left(1-\sigma\left(-\vec{\varphi}_n^T\bm{W}\vec{y}_n\right)\right)r_{m,n}\bm{W}\vec{y}_i$\;??????????????}??????????}????????}????????$\bm{W}?=?\bm{W}-2\lambda\eta\bm{W}$\;????????$V=V-2\lambda\eta?V$??????}??????return?$\bm{W},V$\;??????%\end{algorithmic}??\end{algorithm} ?
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