☰

我如何缩进示例环境？

tag-icon • tag-icon indentation
我如何缩进示例环境？

我正在使用 beamer 制作一些演示材料。

由于我不习惯使用Latex，而且这是第一次使用beamer，所以我对Latex和beamer的语法非常不熟悉。:(

请告诉我如何缩进示例环境。

我的一张幻灯片的代码如下：

\begin{frame}[shrink=0, t]{Inventory Control}
    \begin{itemize}
    \item The \blue{Open-loop} minimization of the cost is to select all orders $u_0, \cdots, u_{N-1}$ at once at time $0$.
    \\[1.5em]
    \item The \blue{Closed-loop} minimization of the cost is to postpone placing the order $u_k$ until the last possible moment (time $k$) when the current stock $x_k$ will be know.
    \\[1.5em]
    \item[] Mathematically, in closed-loop inventory optimization, we want to find a sequence of functions $\mu_k, k=0, \cdots, k=N-1$, mapping stock $x_k$ into order $u_k$ so as to minimize the expected cost, where
    $$\mu_k(x_k) = \text{amount that should be ordered at time } k \text{ if the stock is } x_k.$$
    \\[0.5em]
    \item The \blue{Policy} (or \blue{control law})
    $$\pi=\left\{\mu_0, \mu_1, \cdots, \mu_{N-1}\right\}$$

    \begin{example}
        For each $\pi$, the corresponding cost for a fixed initial stock $x_0$ is
        $$J_{\pi}(x_0)=E\left\{R(x_N)+\sum_{k=0}^{N-1}\left(r(x_k)+c\mu_k(x_k)\right)\right\}$$
    \end{example}
    \end{itemize}
\end{frame}

上述代码的运行结果如下： 111

但是，我想做如下的事情，请帮帮我。 112

答案1

如果你将example块设置为minipage宽度\linewidth- 列表内的线宽（如itemize），它将保持不变：

在此处输入图片描述

\documentclass{beamer}

\usetheme{Warsaw}
\usepackage{amsmath}

\begin{document}

\begin{frame}[shrink=0, t]{Inventory Control}
  \begin{itemize}
    \item The \textcolor{blue}{Open-loop} minimization of the cost is to 
      select all orders $u_0, \cdots, u_{N-1}$ at once at time~$0$.

    \item The \textcolor{blue}{Closed-loop} minimization of the cost is to 
      postpone placing the order~$u_k$ until the last possible moment 
      (time~$k$) when the current stock~$x_k$ will be know.

      Mathematically, in closed-loop inventory optimization, we want to 
      find a sequence of functions $\mu_k, k = 0, \cdots, k = N - 1$, 
      mapping stock~$x_k$ into order~$u_k$ so as to minimize the expected 
      cost, where

      \[
        \mu_k(x_k) = \text{amount that should be ordered at time } k 
          \text{ if the stock is } x_k.
      \]

    \item The \textcolor{blue}{Policy} (or \textcolor{blue}{control law})
      \[
        \pi = \bigl\{ \mu_0, \mu_1, \cdots, \mu_{N-1} \bigr\}
      \]

    \begin{minipage}{\linewidth}
    \begin{example}
      For each~$\pi$, the corresponding cost for a fixed initial stock~$x_0$ is
      \[
        J_{\pi}(x_0) = E \left\{ R(x_N) + \sum_{k=0}^{N-1}
          \bigl( r(x_k) + c\mu_k(x_k) \bigr) \right\}
      \]
    \end{example}
    \end{minipage}
  \end{itemize}
\end{frame}

\end{document}

相关内容