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      <title>离散复习</title>
      <link>https://example.org/post/lisan-math/</link>
      <pubDate>Sat, 30 May 2026 19:37:52 &#43;0800</pubDate>
      <author>2385689419@qq.com (Rain)</author>
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        <![CDATA[<h1>离散复习</h1><p>Author: Rain(2385689419@qq.com)</p>
        
          <p>#离散数学复习</p>
<h1 id="第一章">
<a class="header-anchor" href="#%e7%ac%ac%e4%b8%80%e7%ab%a0"></a>
第一章
</h1><h1 id="第二章">
<a class="header-anchor" href="#%e7%ac%ac%e4%ba%8c%e7%ab%a0"></a>
第二章
</h1><h1 id="第三章">
<a class="header-anchor" href="#%e7%ac%ac%e4%b8%89%e7%ab%a0"></a>
第三章
</h1><h1 id="第四章">
<a class="header-anchor" href="#%e7%ac%ac%e5%9b%9b%e7%ab%a0"></a>
第四章
</h1><h1 id="第五章-图论">
<a class="header-anchor" href="#%e7%ac%ac%e4%ba%94%e7%ab%a0-%e5%9b%be%e8%ae%ba"></a>
第五章 图论
</h1><h2 id="51-图的概念与描述">
<a class="header-anchor" href="#51-%e5%9b%be%e7%9a%84%e6%a6%82%e5%bf%b5%e4%b8%8e%e6%8f%8f%e8%bf%b0"></a>
5.1 图的概念与描述
</h2><h3 id="基本概念">
<a class="header-anchor" href="#%e5%9f%ba%e6%9c%ac%e6%a6%82%e5%bf%b5"></a>
基本概念：
</h3><h4 id="三元组">
<a class="header-anchor" href="#%e4%b8%89%e5%85%83%e7%bb%84"></a>
三元组：
</h4><ul>
<li>V(G) ：点集 ,</li>
<li>E(G) ：边集</li>
<li>M(G) ：点与边的对应关系。三元组表示整个图</li>
</ul>
<h4 id="邻接矩阵">
<a class="header-anchor" href="#%e9%82%bb%e6%8e%a5%e7%9f%a9%e9%98%b5"></a>
邻接矩阵：
</h4><p>其与关系矩阵在上形式一样，但邻接矩阵可以有权值</p>
<h4 id="关联矩阵">
<a class="header-anchor" href="#%e5%85%b3%e8%81%94%e7%9f%a9%e9%98%b5"></a>
关联矩阵：
</h4><p>仅需关注对应数值关系即可
<img src="/post/lisan-math/images/%E5%85%B3%E8%81%94%E7%9F%A9%E9%98%B5.jpg" alt=""></p>
<h4 id="度">
<a class="header-anchor" href="#%e5%ba%a6"></a>
度：
</h4><p>其包括出度与入度
<img src="/post/lisan-math/images/%E5%BA%A6.jpg" alt=""></p>
<h2 id="52-度的连通性">
<a class="header-anchor" href="#52-%e5%ba%a6%e7%9a%84%e8%bf%9e%e9%80%9a%e6%80%a7"></a>
5.2 度的连通性
</h2><p>考点：通过Warshall算法判断连通性，通过图的邻接矩阵的幂次方来求连通路数目</p>
<h3 id="判断是否为连通图">
<a class="header-anchor" href="#%e5%88%a4%e6%96%ad%e6%98%af%e5%90%a6%e4%b8%ba%e8%bf%9e%e9%80%9a%e5%9b%be"></a>
判断是否为连通图
</h3><p><img src="/post/lisan-math/images/%E5%BA%A6.1.jpg" alt=""></p>
<h3 id="求连通路的数目">
<a class="header-anchor" href="#%e6%b1%82%e8%bf%9e%e9%80%9a%e8%b7%af%e7%9a%84%e6%95%b0%e7%9b%ae"></a>
求连通路的数目
</h3><p><img src="/post/lisan-math/images/%E5%BA%A6.2.jpg" alt="">
只需计算$\sum_{i=1}^{n} A^i$的结果矩阵</p>
<h2 id="53-欧拉图">
<a class="header-anchor" href="#53-%e6%ac%a7%e6%8b%89%e5%9b%be"></a>
5.3 欧拉图
</h2><h3 id="七桥问题">
<a class="header-anchor" href="#%e4%b8%83%e6%a1%a5%e9%97%ae%e9%a2%98"></a>
七桥问题
</h3><p><strong>概念及定理</strong>一览：
<img src="/post/lisan-math/images/%E6%AC%A7%E6%8B%89%E5%9B%BE.jpg" alt=""></p>
<h3 id="中国邮路问题">
<a class="header-anchor" href="#%e4%b8%ad%e5%9b%bd%e9%82%ae%e8%b7%af%e9%97%ae%e9%a2%98"></a>
中国邮路问题
</h3><p>邮递员问题就是：邮递员从邮局出发，走完所有街道，最后回到邮局，并且让重复走的路尽量短。<!-- raw HTML omitted --></p>
<p>判断过程找含重边的回路即可
<img src="/post/lisan-math/images/yd.jpg" alt=""></p>
<h4 id="例题">
<a class="header-anchor" href="#%e4%be%8b%e9%a2%98"></a>
例题
</h4><h5 id="eg-1">
<a class="header-anchor" href="#eg-1"></a>
eg 1
</h5><p><img src="/post/lisan-math/images/yd1.jpg" alt=""></p>
<h5 id="eg-2">
<a class="header-anchor" href="#eg-2"></a>
eg 2
</h5><p><img src="/post/lisan-math/images/yd2.jpg" alt=""></p>
        
        <hr><p>Published on 2026-05-30 at <a href='https://example.org/'>Rain's Blog</a>, last modified on 2026-05-30</p>]]>
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        <category>离散数学</category>
      
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