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chapter_computational_complexity/time_complexity/index.html
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@@ -5894,7 +5894,7 @@ O(1) < O(\log n) < O(n) < O(n \log n) < O(n^2) < O(2^n) < O(n!
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<h3 id="4-o2n">4. &nbsp; 指数阶 <span class="arithmatex">\(O(2^n)\)</span><a class="headerlink" href="#4-o2n" title="Permanent link">&para;</a></h3>
<p>生物学的“细胞分裂”是指数阶增长的典型例子：初始状态为 <span class="arithmatex">\(1\)</span> 个细胞，分裂一轮后变为 <span class="arithmatex">\(2\)</span> 个，分裂两轮后变为 <span class="arithmatex">\(4\)</span> 个，以此类推，分裂 <span class="arithmatex">\(n\)</span> 轮后有 <span class="arithmatex">\(2^n\)</span> 个细胞。</p>
<p>图 2-11 和以下代码模拟了细胞分裂的过程，时间复杂度为 <span class="arithmatex">\(O(2^n)\)</span> ：</p>
<p>图 2-11 和以下代码模拟了细胞分裂的过程，时间复杂度为 <span class="arithmatex">\(O(2^n)\)</span> 。请注意，输入 <span class="arithmatex">\(n\)</span> 表示分裂轮数，返回值 <code>count</code> 表示总分裂次数。</p>
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