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krahets
2023-08-20 14:52:42 +08:00
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@ -3509,7 +3509,7 @@
<a id="__codelineno-2-4" name="__codelineno-2-4" href="#__codelineno-2-4"></a> <span class="n">i</span><span class="p">,</span> <span class="n">j</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">nums</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span>
<a id="__codelineno-2-5" name="__codelineno-2-5" href="#__codelineno-2-5"></a> <span class="c1"># 循环，当搜索区间为空时跳出（当 i &gt; j 时为空）</span>
<a id="__codelineno-2-6" name="__codelineno-2-6" href="#__codelineno-2-6"></a> <span class="k">while</span> <span class="n">i</span> <span class="o">&lt;=</span> <span class="n">j</span><span class="p">:</span>
<a id="__codelineno-2-7" name="__codelineno-2-7" href="#__codelineno-2-7"></a> <span class="c1"># 理论上 Python 的数字可以无限大（取决于内存大小），无需考虑大数越界问题</span>
<a id="__codelineno-2-7" name="__codelineno-2-7" href="#__codelineno-2-7"></a> <span class="c1"># 理论上 Python 的数字可以无限大（取决于内存大小），无须考虑大数越界问题</span>
<a id="__codelineno-2-8" name="__codelineno-2-8" href="#__codelineno-2-8"></a> <span class="n">m</span> <span class="o">=</span> <span class="p">(</span><span class="n">i</span> <span class="o">+</span> <span class="n">j</span><span class="p">)</span> <span class="o">//</span> <span class="mi">2</span> <span class="c1"># 计算中点索引 m</span>
<a id="__codelineno-2-9" name="__codelineno-2-9" href="#__codelineno-2-9"></a> <span class="k">if</span> <span class="n">nums</span><span class="p">[</span><span class="n">m</span><span class="p">]</span> <span class="o">&lt;</span> <span class="n">target</span><span class="p">:</span>
<a id="__codelineno-2-10" name="__codelineno-2-10" href="#__codelineno-2-10"></a> <span class="n">i</span> <span class="o">=</span> <span class="n">m</span> <span class="o">+</span> <span class="mi">1</span> <span class="c1"># 此情况说明 target 在区间 [m+1, j] 中</span>
@ -3996,7 +3996,7 @@
<p>二分查找在时间和空间方面都有较好的性能：</p>
<ul>
<li>二分查找的时间效率高。在大数据量下，对数阶的时间复杂度具有显著优势。例如，当数据大小 <span class="arithmatex">\(n = 2^{20}\)</span> 时，线性查找需要 <span class="arithmatex">\(2^{20} = 1048576\)</span> 轮循环，而二分查找仅需 <span class="arithmatex">\(\log_2 2^{20} = 20\)</span> 轮循环。</li>
<li>二分查找无需额外空间。相较于需要借助额外空间的搜索算法（例如哈希查找），二分查找更加节省空间。</li>
<li>二分查找无须额外空间。相较于需要借助额外空间的搜索算法（例如哈希查找），二分查找更加节省空间。</li>
</ul>
<p>然而，二分查找并非适用于所有情况，原因如下：</p>
<ul>