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@@ -2313,8 +2313,15 @@
<ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
<li class="md-nav__item">
<a href="#11111-q-a" class="md-nav__link">
11.11.1 &nbsp; Q &amp; A
<a href="#1" class="md-nav__link">
1. &nbsp; 重点回顾
</a>
</li>
<li class="md-nav__item">
<a href="#2-q-a" class="md-nav__link">
2. &nbsp; Q &amp; A
</a>
</li>
@@ -3398,8 +3405,15 @@
<ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
<li class="md-nav__item">
<a href="#11111-q-a" class="md-nav__link">
11.11.1 &nbsp; Q &amp; A
<a href="#1" class="md-nav__link">
1. &nbsp; 重点回顾
</a>
</li>
<li class="md-nav__item">
<a href="#2-q-a" class="md-nav__link">
2. &nbsp; Q &amp; A
</a>
</li>
@@ -3428,6 +3442,7 @@
<h1 id="1111">11.11 &nbsp; 小结<a class="headerlink" href="#1111" title="Permanent link">&para;</a></h1>
<h3 id="1">1. &nbsp; 重点回顾<a class="headerlink" href="#1" title="Permanent link">&para;</a></h3>
<ul>
<li>冒泡排序通过交换相邻元素来实现排序。通过添加一个标志位来实现提前返回，我们可以将冒泡排序的最佳时间复杂度优化到 <span class="arithmatex">\(O(n)\)</span> 。</li>
<li>插入排序每轮将未排序区间内的元素插入到已排序区间的正确位置，从而完成排序。虽然插入排序的时间复杂度为 <span class="arithmatex">\(O(n^2)\)</span> ，但由于单元操作相对较少，它在小数据量的排序任务中非常受欢迎。</li>
@@ -3442,7 +3457,7 @@
<p><img alt="排序算法对比" src="../summary.assets/sorting_algorithms_comparison.png" /></p>
<p align="center"> 图 11-19 &nbsp; 排序算法对比 </p>
<h2 id="11111-q-a">11.11.1 &nbsp; Q &amp; A<a class="headerlink" href="#11111-q-a" title="Permanent link">&para;</a></h2>
<h3 id="2-q-a">2. &nbsp; Q &amp; A<a class="headerlink" href="#2-q-a" title="Permanent link">&para;</a></h3>
<div class="admonition question">
<p class="admonition-title">排序算法稳定性在什么情况下是必须的？</p>
<p>在现实中，我们有可能是在对象的某个属性上进行排序。例如，学生有姓名和身高两个属性，我们希望实现一个多级排序/</p>