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Northwest A&F University thesis (nwafuthesis)

Northwest A&F University bachelor, master and doctoral thesis format on ctexbook and LaTeX3, with English and Chinese title pages, declarations and GB/T 7714 references through biblatex.

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Category
Thesis
Document class
nwafuthesis (nwafuthesis.cls) — ships with TeX Live
Workflow
Thesis / dissertation — submissions and revision rounds
Author
Nan Geng
Source
CTAN
Licence
nwafuthesis.cls: The LaTeX Project Public License 1.3c. Sample text: Manulyx, CC0 1.0 (free to use, no conditions).

What you get

  • main.tex — the file that is compiled · 4 KB
  • references.bib · 342 B

These become your files. Editing them afterwards changes your project and nothing else — a project owns its files from the moment it is made.

Source

main.tex — the file that is compiled · 4 KB
% 西北农林科技大学学位论文 / Northwest A&F University thesis on nwafuthesis.cls.
% Build with XeLaTeX (or LuaLaTeX) and biber.
% type = doctor | master | bachelor. style/font = times uses XITS and TeX Gyre fonts and
% style/cjk-font = fandol the Fandol fonts in TeX Live; use style/font = times* and
% style/cjk-font = windows when the Windows fonts are available.
\documentclass[type=master]{nwafuthesis}

\nwafuset{
  style = {
    font            = times,
    cjk-font        = fandol,
    % The class's first cover places the university logo from logo/nwafu-bar.pdf, which is not
    % installed with TeX; this sample builds the other cover pages itself (see below).
    auto-make-cover = false,
    bib-resource    = {references.bib},
  },
  info = {
    title          = {Your paper},
    title*         = {Your paper},
    author         = {作者姓名},
    author*        = {Author Name},
    supervisor     = {导师姓名~教授},
    supervisor*    = {Prof. Supervisor Name},
    cosupervisor   = {副导师姓名~副教授},
    cosupervisor*  = {Assoc. Prof. Co-supervisor Name},
    department     = {某某学院},
    department*    = {College of Name},
    major          = {农业工程},
    major*         = {Agricultural Engineering},
    researchfield  = {信息论},
    researchfield* = {Information Theory},
    student-id     = {0000000000},
    clc            = {S2},
    udc            = {631},
    date           = {2027年5月},
    date*          = {May 2027},
    defensedate    = {2027年5月},
    defensecommittees = {
      {主席, 姓名~教授, 某某大学},
      {委员, 姓名~教授, 某某大学},
    },
  },
  abstract = {
    keywords  = {信息论, 熵, 学位论文},
    keywords* = {information theory, entropy, thesis},
  },
}

\usepackage{booktabs}
\usepackage{tikz}

\begin{document}

% English title page, Chinese title page, declarations and authorisation.
\begin{titlepage}
  \makecoverii
  \newpage
  \makecoveriii
  \newpage
  \makecoverv
  \newpage
  \makecovervi
\end{titlepage}

\frontmatter

\begin{abstract}
本文研究离散信源的熵。摘要应概括研究的问题、方法、结果和结论。
\end{abstract}

\begin{abstract*}
This thesis studies the entropy of a discrete source. The abstract states the problem, the
method, the main results and the conclusions in one or two paragraphs.
\end{abstract*}

\cleardoublepage
\pagenumbering{Roman}
\tableofcontents

\mainmatter

\chapter{绪论}
\label{chap:introduction}

本章说明论文研究的问题及其意义。信息论的基本概念见文献\cite{shannon1948}。
This chapter states the problem and the plan of the thesis.

\section{研究内容}

列出本文要回答的两到三个问题。

\chapter{方法}
\label{chap:method}

\section{模型}

设离散信源有 $n$ 个符号,其概率为 $p_1, \dots, p_n$,则信源的熵为
\begin{equation}
  H = -\sum_{i=1}^{n} p_i \log_2 p_i ,
  \label{eq:entropy}
\end{equation}
当各符号等概率时熵最大。

\section{数据}

% The class's \ref prints the prefix itself: 表 1.1, 图 3.1, 式(2.1).
\ref{tab:data} 列出了实验所用的三个数据集。

\begin{table}[htbp]
  \centering
  \caption{实验数据集}
  \label{tab:data}
  \begin{tabular}{lrr}
    \toprule
    数据集 & 样本数 & 符号数 \\
    \midrule
    A & 1200 & 4 \\
    B & 3500 & 8 \\
    C & 9800 & 16 \\
    \bottomrule
  \end{tabular}
\end{table}

\chapter{结果与结论}
\label{chap:results}

\ref{fig:entropy} 给出二元信源的熵随概率 $p$ 的变化,在 $p = 0.5$ 时取最大值 1 比特,与\ref{eq:entropy}一致。

\begin{figure}[htbp]
  \centering
  \begin{tikzpicture}[x=6cm,y=3cm]
    \draw[->] (0,0) -- (1.1,0) node[right] {$p$};
    \draw[->] (0,0) -- (0,1.15) node[above] {$H(p)$};
    \foreach \t in {0.5,1} \draw (\t,0) -- (\t,-0.03) node[below] {\t};
    \draw[thick,domain=0.01:0.99,samples=60] plot (\x, {-\x*log2(\x)-(1-\x)*log2(1-\x)});
  \end{tikzpicture}
  \caption{二元信源的熵}
  \label{fig:entropy}
\end{figure}

\bibmatter
\printbibliography

\backmatter

\begin{acknowledgement}
感谢导师的悉心指导,感谢所有给予帮助的老师和同学。
\end{acknowledgement}

\begin{resume}
\resumitem
作者姓名,某某学院硕士研究生。
\end{resume}

\end{document}
references.bib · 342 B
@article{shannon1948,
  author  = {Shannon, C. E.},
  title   = {A Mathematical Theory of Communication},
  journal = {Bell System Technical Journal},
  volume  = {27},
  number  = {3},
  pages   = {379--423},
  year    = {1948},
  doi     = {10.1002/j.1538-7305.1948.tb01338.x}
}

% Add your own entries here, then cite them with cite{key}.

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