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chapter_computational_complexity/space_complexity/index.html
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@ -5022,7 +5022,7 @@ O(1) < O(\log n) < O(n) < O(n^2) < O(2^n) \newline
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<p>如图 2-18 所示，该函数的递归深度为 <span class="arithmatex">\(n\)</span> ，在每个递归函数中都初始化了一个数组，长度分别为 <span class="arithmatex">\(n, n-1, n-2, ..., 2, 1\)</span> ，平均长度为 <span class="arithmatex">\(n / 2\)</span> ，因此总体占用 <span class="arithmatex">\(O(n^2)\)</span> 空间：</p>
<p>如图 2-18 所示，该函数的递归深度为 <span class="arithmatex">\(n\)</span> ，在每个递归函数中都初始化了一个数组，长度分别为 <span class="arithmatex">\(n\)</span>、<span class="arithmatex">\(n-1\)</span>、<span class="arithmatex">\(\dots\)</span>、<span class="arithmatex">\(2\)</span>、<span class="arithmatex">\(1\)</span> ，平均长度为 <span class="arithmatex">\(n / 2\)</span> ，因此总体占用 <span class="arithmatex">\(O(n^2)\)</span> 空间：</p>
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