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<p>在代码实现中，我们使用了与堆章节相同的从顶至底堆化（Sift Down）的函数。值得注意的是，由于堆的长度会随着提取最大元素而减小，因此我们需要给 Sift Down 函数添加一个长度参数 <span class="arithmatex">\(n\)</span> ，用于指定堆的当前有效长度。</p>
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<div class="highlight"><span class="filename">heap_sort.java</span><pre><span></span><code><a id="__codelineno-0-1" name="__codelineno-0-1" href="#__codelineno-0-1"></a><span class="cm">/* 堆的长度为 n ，从节点 i 开始，从顶至底堆化 */</span>
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<a id="__codelineno-9-3" name="__codelineno-9-3" href="#__codelineno-9-3"></a><span class="p">[</span><span class="n">class</span><span class="p">]{}</span><span class="o">-</span><span class="p">[</span><span class="n">func</span><span class="p">]{</span><span class="n">heapSort</span><span class="p">}</span>
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<div class="highlight"><span class="filename">heap_sort.dart</span><pre><span></span><code><a id="__codelineno-10-1" name="__codelineno-10-1" href="#__codelineno-10-1"></a><span class="p">[</span><span class="n">class</span><span class="p">]{}</span><span class="o">-</span><span class="p">[</span><span class="n">func</span><span class="p">]{</span><span class="n">siftDown</span><span class="p">}</span>
<a id="__codelineno-10-2" name="__codelineno-10-2" href="#__codelineno-10-2"></a>
<a id="__codelineno-10-3" name="__codelineno-10-3" href="#__codelineno-10-3"></a><span class="p">[</span><span class="n">class</span><span class="p">]{}</span><span class="o">-</span><span class="p">[</span><span class="n">func</span><span class="p">]{</span><span class="n">heapSort</span><span class="p">}</span>
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<h2 id="1172">11.7.2. &nbsp; 算法特性<a class="headerlink" href="#1172" title="Permanent link">&para;</a></h2>