我目前有一个无法解决的问题。这是我的代码：
\begin{algorithm}
\caption{Feedback system}
\begin{algorithmic}[1]
\State $expert$: object describing the expert (name, laterality and path to data)
\State $student$: object describing the student (name, laterality and path to data)
\Procedure{Feedback}{$expert$, $student$}
\State $D_{exp} \gets$ all data from $expert$
\State $D_{std} \gets$ all data from $student$
\State $P \gets$ all the data to process for each problem
\If{$normalisation$ == true}
\State $P \gets$ normalised($P$)
\EndIf
\State $X_{d_{exp}} \gets$ expert's data repartition
\ForAll{$p_i$ in $P$}
\State $d_{exp} \gets$ get_data($p_i$, $X_{d_{exp}}$)
\EndFor
\State clustering_result $\gets$ run_clustering
\State student_centroid $\gets$ get_centroid($D_{std}$)
\EndProcedure
\end{algorithmic}
\label{algorithm_Feedback}
\end{algorithm}
我的进口是
\usepackage{lipsum}
\usepackage[linedheaders,parts,pdfspacing, dottedtoc]{classicthesis}
\usepackage{amsmath}
\usepackage{amsthm}
\usepackage{acronym}
\usepackage[utf8]{inputenc}
\usepackage[T1]{fontenc}
\usepackage[frenchb]{babel}
\usepackage{url}
\usepackage[style=alphabetic]{biblatex}
\usepackage{graphicx}
\usepackage{tabularx}
\usepackage{pdflscape}
\usepackage{makecell}
\usepackage{algorithm, algpseudocode}
\usepackage{enumitem}
\usepackage{colortbl}
我的问题出在 ForAll 循环中。基本上，它告诉我下一行缺少一个 $。如果我删除 之后的所有代码\ForAll，甚至删除循环\State中的ForAll（显然保留\EndFor），它编译时不会出现任何问题。我尝试仅删除循环\State内部的ForAll或\State之后的\EndFor，但没有成功。
长话短说，这是有效的
\ForAll{$p_i$ in $P$}
\EndFor
这并没有
\ForAll{$p_i$ in $P$}
\State $d_{exp} \gets$ get_data($p_i$, $X_{d_{exp}}$)
\EndFor
\ForAll{$p_i$ in $P$}
\State $d_{exp} \gets$ get_data($p_i$, $X_{d_{exp}}$)
\EndFor
\State clustering_result $\gets$ run_clustering
\State student_centroid $\gets$ get_centroid($D_{std}$)
有人能指出我哪里出了问题吗？我真的不明白，而且我认为我的语法没问题？我还没找到和我遇到同样问题的人。如果这个问题已经有人回答了或者这个错误真的很明显而且很愚蠢，我很抱歉。
干杯
编辑：这是一个可编译的示例：
\documentclass[
% Replace twoside with oneside if you are printing your thesis on a single side
% of the paper, or for viewing on screen.
%oneside,
oneside,
11pt, a4paper,
footinclude=true,
headinclude=true,
cleardoublepage=empty
]{scrbook}
\usepackage{lipsum}
\usepackage[linedheaders,parts,pdfspacing, dottedtoc]{classicthesis}
\usepackage{amsmath}
\usepackage{amsthm}
\usepackage{acronym}
\usepackage[utf8]{inputenc}
\usepackage[T1]{fontenc}
\usepackage[frenchb]{babel}
\usepackage{url}
\usepackage[style=alphabetic]{biblatex}
\usepackage{graphicx}
\usepackage{tabularx}
\usepackage{pdflscape}
\usepackage{makecell}
\usepackage{algorithm, algpseudocode}
\usepackage{enumitem}
\usepackage{colortbl}
\title{Giga titre qui tue et qui donne envie de lire alors qu'en fait c'est chiant}
\author{Quentin Couland\\ Directeur de thèse : \textbf{Sébastien George}\\Co-encadrant : \textbf{Ludovic Hamon}}
\begin{document}
\begin{algorithm}
\caption{Feedback system}
\begin{algorithmic}[1]
\State $expert$: object describing the expert (name, laterality and path to data)
\State $student$: object describing the student (name, laterality and path to data)
\Procedure{Feedback}{$expert$, $student$}
\State $D_{exp} \gets$ all data from $expert$
\State $D_{std} \gets$ all data from $student$
\State $P \gets$ all the data to process for each problem
\If{$normalisation$ == true}
\State $P \gets$ normalised($P$)
\EndIf
\State $X_{d_{exp}} \gets$ expert's data repartition
\ForAll{$p_i$ in $P$}
\State $d_{exp} \gets$ get_data($p_i$, $X_{d_{exp}}$)
\EndFor
\State clustering_result $\gets$ run_clustering
\State student_centroid $\gets$ get_centroid($D_{std}$)
\EndProcedure
\end{algorithmic}
\label{algorithm_Feedback}
\end{algorithm}
\end{document}
答案1
您需要\_在文本模式下执行。
它必须是：
\State $d_{exp} \gets$ get\_data($p_i$, $X_{d_{exp}}$)
代替
\State $d_{exp} \gets$ get_data($p_i$, $X_{d_{exp}}$)
\documentclass[
% Replace twoside with oneside if you are printing your thesis on a single side
% of the paper, or for viewing on screen.
%oneside,
oneside,
11pt, a4paper,
footinclude=true,
headinclude=true,
cleardoublepage=empty
]{scrbook}
\usepackage{lipsum}
\usepackage[linedheaders,parts,pdfspacing, dottedtoc]{classicthesis}
\usepackage{amsmath}
\usepackage{amsthm}
\usepackage{acronym}
\usepackage[utf8]{inputenc}
\usepackage[T1]{fontenc}
\usepackage[frenchb]{babel}
\usepackage{url}
\usepackage[style=alphabetic]{biblatex}
\usepackage{graphicx}
\usepackage{tabularx}
\usepackage{pdflscape}
\usepackage{makecell}
\usepackage{algorithm, algpseudocode}
\usepackage{enumitem}
\usepackage{colortbl}
\title{Giga titre qui tue et qui donne envie de lire alors qu'en fait c'est chiant}
\author{Quentin Couland\\ Directeur de thèse : \textbf{Sébastien George}\\Co-encadrant : \textbf{Ludovic Hamon}}
\begin{document}
\begin{algorithm}
\caption{Feedback system}
\begin{algorithmic}[1]
\State $expert$: object describing the expert (name, laterality and path to data)
\State $student$: object describing the student (name, laterality and path to data)
\Procedure{Feedback}{$expert$, $student$}
\State $D_{exp} \gets$ all data from $expert$
\State $D_{std} \gets$ all data from $student$
\State $P \gets$ all the data to process for each problem
\If{$normalisation$ == true}
\State $P \gets$ normalised($P$)
\EndIf
\State $X_{d_{exp}} \gets$ expert's data repartition
\ForAll{$p_i$ in $P$}
\State $d_{exp} \gets$ get\_data($p_i$, $X_{d_{exp}}$)
\EndFor
\State clustering\_result $\gets$ run\_clustering
\State student\_centroid $\gets$ get\_centroid($D_{std}$)
\EndProcedure
\end{algorithmic}
\label{algorithm_Feedback}
\end{algorithm}
\end{document}
