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chapter_array_and_linkedlist/linked_list/index.html
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<div class="tabbed-block">
<div class="highlight"><pre><span></span><code><a id="__codelineno-6-1" name="__codelineno-6-1" href="#__codelineno-6-1"></a><span class="cm">/* 链表结点结构体 */</span>
<a id="__codelineno-6-2" name="__codelineno-6-2" href="#__codelineno-6-2"></a><span class="k">struct</span><span class="w"> </span><span class="nc">ListNode</span><span class="w"> </span><span class="p">{</span>
<a id="__codelineno-6-3" name="__codelineno-6-3" href="#__codelineno-6-3"></a><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">val</span><span class="p">;</span><span class="w"> </span><span class="c1">// 结点值</span>
<a id="__codelineno-6-4" name="__codelineno-6-4" href="#__codelineno-6-4"></a><span class="w"> </span><span class="n">ListNode</span><span class="w"> </span><span class="o">*</span><span class="n">next</span><span class="p">;</span><span class="w"> </span><span class="c1">// 指向下一结点的指针（引用）</span>
<a id="__codelineno-6-3" name="__codelineno-6-3" href="#__codelineno-6-3"></a><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">val</span><span class="p">;</span><span class="w"> </span><span class="c1">// 结点值</span>
<a id="__codelineno-6-4" name="__codelineno-6-4" href="#__codelineno-6-4"></a><span class="w"> </span><span class="k">struct</span><span class="w"> </span><span class="nc">ListNode</span><span class="w"> </span><span class="o">*</span><span class="n">next</span><span class="p">;</span><span class="w"> </span><span class="c1">// 指向下一结点的指针（引用）</span>
<a id="__codelineno-6-5" name="__codelineno-6-5" href="#__codelineno-6-5"></a><span class="p">};</span>
</code></pre></div>
</div>

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chapter_hashing/hash_map/index.html
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<li><strong>链表</strong>：每个结点的值为 <code>[学号, 姓名]</code> ；</li>
<li><strong>二叉搜索树</strong>：每个结点的值为 <code>[学号, 姓名]</code> ，根据学号大小来构建树；</li>
</ol>
<p>使用上述方法，各项操作的时间复杂度如下表所示（在此不做赘述，详解可见 <a href="https://www.hello-algo.com/chapter_tree/binary_search_tree/#_6">二叉搜索树章节</a>）。无论是查找元素、还是增删元素，哈希表的时间复杂度都是 <span class="arithmatex">\(O(1)\)</span> ，全面胜出！</p>
<p>使用上述方法，各项操作的时间复杂度如下表所示（在此不做赘述，详解可见 <a href="https://www.hello-algo.com/chapter_tree/binary_search_tree/">二叉搜索树章节</a>）。无论是查找元素、还是增删元素，哈希表的时间复杂度都是 <span class="arithmatex">\(O(1)\)</span> ，全面胜出！</p>
<div class="center-table">
<table>
<thead>

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search/search_index.json
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