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第 8 章 &nbsp;
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第 10 章 &nbsp; 搜索
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第 11 章 &nbsp; 排序
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11.10 &nbsp; 基数排序
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第 12 章 &nbsp; 分治
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12.3 &nbsp; 构建树问题
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第 13 章 &nbsp; 回溯
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<h1 id="121">12.1 &nbsp; 分治算法<a class="headerlink" href="#121" title="Permanent link">&para;</a></h1>
<p><u>分治divide and conquer</u>,全称分而治之,是一种非常重要且常见的算法策略。分治通常基于递归实现,包括“分”和“治”两个步骤。</p>
<ol>
<li><strong>分(划分阶段)</strong>:递归地将原问题分解为两个或多个子问题,直至到达最小子问题时终止。</li>
<li><strong>治(合并阶段)</strong>:从已知解的最小子问题开始,从底至顶地将子问题的解进行合并,从而构建出原问题的解。</li>
</ol>
<p>如图 12-1 所示,“归并排序”是分治策略的典型应用之一。</p>
<ol>
<li><strong></strong>:递归地将原数组(原问题)划分为两个子数组(子问题),直到子数组只剩一个元素(最小子问题)。</li>
<li><strong></strong>:从底至顶地将有序的子数组(子问题的解)进行合并,从而得到有序的原数组(原问题的解)。</li>
</ol>
<p><a class="glightbox" href="../divide_and_conquer.assets/divide_and_conquer_merge_sort.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="归并排序的分治策略" class="animation-figure" src="../divide_and_conquer.assets/divide_and_conquer_merge_sort.png" /></a></p>
<p align="center"> 图 12-1 &nbsp; 归并排序的分治策略 </p>
<h2 id="1211">12.1.1 &nbsp; 如何判断分治问题<a class="headerlink" href="#1211" title="Permanent link">&para;</a></h2>
<p>一个问题是否适合使用分治解决,通常可以参考以下几个判断依据。</p>
<ol>
<li><strong>问题可以分解</strong>:原问题可以分解成规模更小、类似的子问题,以及能够以相同方式递归地进行划分。</li>
<li><strong>子问题是独立的</strong>:子问题之间没有重叠,互不依赖,可以独立解决。</li>
<li><strong>子问题的解可以合并</strong>:原问题的解通过合并子问题的解得来。</li>
</ol>
<p>显然,归并排序满足以上三个判断依据。</p>
<ol>
<li><strong>问题可以分解</strong>:递归地将数组(原问题)划分为两个子数组(子问题)。</li>
<li><strong>子问题是独立的</strong>:每个子数组都可以独立地进行排序(子问题可以独立进行求解)。</li>
<li><strong>子问题的解可以合并</strong>:两个有序子数组(子问题的解)可以合并为一个有序数组(原问题的解)。</li>
</ol>
<h2 id="1212">12.1.2 &nbsp; 通过分治提升效率<a class="headerlink" href="#1212" title="Permanent link">&para;</a></h2>
<p><strong>分治不仅可以有效地解决算法问题,往往还可以提升算法效率</strong>。在排序算法中,快速排序、归并排序、堆排序相较于选择、冒泡、插入排序更快,就是因为它们应用了分治策略。</p>
<p>那么,我们不禁发问:<strong>为什么分治可以提升算法效率,其底层逻辑是什么</strong>?换句话说,将大问题分解为多个子问题、解决子问题、将子问题的解合并为原问题的解,这几步的效率为什么比直接解决原问题的效率更高?这个问题可以从操作数量和并行计算两方面来讨论。</p>
<h3 id="1">1. &nbsp; 操作数量优化<a class="headerlink" href="#1" title="Permanent link">&para;</a></h3>
<p>以“冒泡排序”为例,其处理一个长度为 <span class="arithmatex">\(n\)</span> 的数组需要 <span class="arithmatex">\(O(n^2)\)</span> 时间。假设我们按照图 12-2 所示的方式,将数组从中点处分为两个子数组,则划分需要 <span class="arithmatex">\(O(n)\)</span> 时间,排序每个子数组需要 <span class="arithmatex">\(O((n / 2)^2)\)</span> 时间,合并两个子数组需要 <span class="arithmatex">\(O(n)\)</span> 时间,总体时间复杂度为:</p>
<div class="arithmatex">\[
O(n + (\frac{n}{2})^2 \times 2 + n) = O(\frac{n^2}{2} + 2n)
\]</div>
<p><a class="glightbox" href="../divide_and_conquer.assets/divide_and_conquer_bubble_sort.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="划分数组前后的冒泡排序" class="animation-figure" src="../divide_and_conquer.assets/divide_and_conquer_bubble_sort.png" /></a></p>
<p align="center"> 图 12-2 &nbsp; 划分数组前后的冒泡排序 </p>
<p>接下来,我们计算以下不等式,其左边和右边分别为划分前和划分后的操作总数:</p>
<div class="arithmatex">\[
\begin{aligned}
n^2 &amp; &gt; \frac{n^2}{2} + 2n \newline
n^2 - \frac{n^2}{2} - 2n &amp; &gt; 0 \newline
n(n - 4) &amp; &gt; 0
\end{aligned}
\]</div>
<p><strong>这意味着当 <span class="arithmatex">\(n &gt; 4\)</span> 时,划分后的操作数量更少,排序效率应该更高</strong>。请注意,划分后的时间复杂度仍然是平方阶 <span class="arithmatex">\(O(n^2)\)</span> ,只是复杂度中的常数项变小了。</p>
<p>进一步想,<strong>如果我们把子数组不断地再从中点处划分为两个子数组</strong>,直至子数组只剩一个元素时停止划分呢?这种思路实际上就是“归并排序”,时间复杂度为 <span class="arithmatex">\(O(n \log n)\)</span></p>
<p>再思考,<strong>如果我们多设置几个划分点</strong>,将原数组平均划分为 <span class="arithmatex">\(k\)</span> 个子数组呢?这种情况与“桶排序”非常类似,它非常适合排序海量数据,理论上时间复杂度可以达到 <span class="arithmatex">\(O(n + k)\)</span></p>
<h3 id="2">2. &nbsp; 并行计算优化<a class="headerlink" href="#2" title="Permanent link">&para;</a></h3>
<p>我们知道,分治生成的子问题是相互独立的,<strong>因此通常可以并行解决</strong>。也就是说,分治不仅可以降低算法的时间复杂度,<strong>还有利于操作系统的并行优化</strong></p>
<p>并行优化在多核或多处理器的环境中尤其有效,因为系统可以同时处理多个子问题,更加充分地利用计算资源,从而显著减少总体的运行时间。</p>
<p>比如在图 12-3 所示的“桶排序”中,我们将海量的数据平均分配到各个桶中,则可将所有桶的排序任务分散到各个计算单元,完成后再合并结果。</p>
<p><a class="glightbox" href="../divide_and_conquer.assets/divide_and_conquer_parallel_computing.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="桶排序的并行计算" class="animation-figure" src="../divide_and_conquer.assets/divide_and_conquer_parallel_computing.png" /></a></p>
<p align="center"> 图 12-3 &nbsp; 桶排序的并行计算 </p>
<h2 id="1213">12.1.3 &nbsp; 分治常见应用<a class="headerlink" href="#1213" title="Permanent link">&para;</a></h2>
<p>一方面,分治可以用来解决许多经典算法问题。</p>
<ul>
<li><strong>寻找最近点对</strong>:该算法首先将点集分成两部分,然后分别找出两部分中的最近点对,最后找出跨越两部分的最近点对。</li>
<li><strong>大整数乘法</strong>:例如 Karatsuba 算法,它将大整数乘法分解为几个较小的整数的乘法和加法。</li>
<li><strong>矩阵乘法</strong>:例如 Strassen 算法,它将大矩阵乘法分解为多个小矩阵的乘法和加法。</li>
<li><strong>汉诺塔问题</strong>:汉诺塔问题可以通过递归解决,这是典型的分治策略应用。</li>
<li><strong>求解逆序对</strong>:在一个序列中,如果前面的数字大于后面的数字,那么这两个数字构成一个逆序对。求解逆序对问题可以利用分治的思想,借助归并排序进行求解。</li>
</ul>
<p>另一方面,分治在算法和数据结构的设计中应用得非常广泛。</p>
<ul>
<li><strong>二分查找</strong>:二分查找是将有序数组从中点索引处分为两部分,然后根据目标值与中间元素值比较结果,决定排除哪一半区间,并在剩余区间执行相同的二分操作。</li>
<li><strong>归并排序</strong>:本节开头已介绍,不再赘述。</li>
<li><strong>快速排序</strong>:快速排序是选取一个基准值,然后把数组分为两个子数组,一个子数组的元素比基准值小,另一子数组的元素比基准值大,再对这两部分进行相同的划分操作,直至子数组只剩下一个元素。</li>
<li><strong>桶排序</strong>:桶排序的基本思想是将数据分散到多个桶,然后对每个桶内的元素进行排序,最后将各个桶的元素依次取出,从而得到一个有序数组。</li>
<li><strong></strong>例如二叉搜索树、AVL 树、红黑树、B 树、B+ 树等,它们的查找、插入和删除等操作都可以视为分治策略的应用。</li>
<li><strong></strong>:堆是一种特殊的完全二叉树,其各种操作,如插入、删除和堆化,实际上都隐含了分治的思想。</li>
<li><strong>哈希表</strong>:虽然哈希表并不直接应用分治,但某些哈希冲突解决方案间接应用了分治策略,例如,链式地址中的长链表会被转化为红黑树,以提升查询效率。</li>
</ul>
<p>可以看出,<strong>分治是一种“润物细无声”的算法思想</strong>,隐含在各种算法与数据结构之中。</p>
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