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<h1 id="73">7.3 &nbsp; 二叉树数组表示<a class="headerlink" href="#73" title="Permanent link">&para;</a></h1>
<p>在链表表示下,二叉树的存储单元为节点 <code>TreeNode</code> ,节点之间通过指针相连接。上一节介绍了链表表示下的二叉树的各项基本操作。</p>
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<h1 id="75-avl">7.5 &nbsp; AVL 树 *<a class="headerlink" href="#75-avl" title="Permanent link">&para;</a></h1>
<p>在“二叉搜索树”章节中,我们提到,在多次插入和删除操作后,二叉搜索树可能退化为链表。在这种情况下,所有操作的时间复杂度将从 <span class="arithmatex">\(O(\log n)\)</span> 恶化为 <span class="arithmatex">\(O(n)\)</span></p>
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<h1 id="74">7.4 &nbsp; 二叉搜索树<a class="headerlink" href="#74" title="Permanent link">&para;</a></h1>
<p>如图 7-16 所示,「二叉搜索树 binary search tree」满足以下条件。</p>
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<h1 id="71">7.1 &nbsp; 二叉树<a class="headerlink" href="#71" title="Permanent link">&para;</a></h1>
<p>「二叉树 binary tree」是一种非线性数据结构,代表“祖先”与“后代”之间的派生关系,体现了“一分为二”的分治逻辑。与链表类似,二叉树的基本单元是节点,每个节点包含值、左子节点引用和右子节点引用。</p>
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<h1 id="72">7.2 &nbsp; 二叉树遍历<a class="headerlink" href="#72" title="Permanent link">&para;</a></h1>
<p>从物理结构的角度来看,树是一种基于链表的数据结构,因此其遍历方式是通过指针逐个访问节点。然而,树是一种非线性数据结构,这使得遍历树比遍历链表更加复杂,需要借助搜索算法来实现。</p>
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<h1 id="7">第 7 章 &nbsp;<a class="headerlink" href="#7" title="Permanent link">&para;</a></h1>
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<h1 id="76">7.6 &nbsp; 小结<a class="headerlink" href="#76" 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>