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<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>
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<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>
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<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>
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<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>
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<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>
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<a id="__codelineno-6-5" name="__codelineno-6-5" href="#__codelineno-6-5"></a><span class="p">};</span>
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</code></pre></div>
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</div>
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@ -1733,7 +1733,7 @@
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<li><strong>链表</strong>:每个结点的值为 <code>[学号, 姓名]</code> ;</li>
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<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>
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</ol>
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<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>
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<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>
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