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zh-hant/chapter_computational_complexity/time_complexity/index.html
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@@ -5837,7 +5837,7 @@ 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; 指數階 <span class="arithmatex">\(O(2^n)\)</span><a class="headerlink" href="#4-o2n" title="Permanent link">&para;</a></h3>
<p>生物學的“細胞分裂”是指數階增長的典型例子：初始狀態為 <span class="arithmatex">\(1\)</span> 個細胞，分裂一輪後變為 <span class="arithmatex">\(2\)</span> 個，分裂兩輪後變為 <span class="arithmatex">\(4\)</span> 個，以此類推，分裂 <span class="arithmatex">\(n\)</span> 輪後有 <span class="arithmatex">\(2^n\)</span> 個細胞。</p>
<p>圖 2-11 和以下程式碼模擬了細胞分裂的過程，時間複雜度為 <span class="arithmatex">\(O(2^n)\)</span> ：</p>
<p>圖 2-11 和以下程式碼模擬了細胞分裂的過程，時間複雜度為 <span class="arithmatex">\(O(2^n)\)</span> 。請注意，輸入 <span class="arithmatex">\(n\)</span> 表示分裂輪數，返回值 <code>count</code> 表示總分裂次數。</p>
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