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@@ -3430,7 +3430,32 @@
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<h1 id="101">10.1 &nbsp; 二分查找<a class="headerlink" href="#101" title="Permanent link">&para;</a></h1>
<p>「二分查找 binary search」是一种基于分治策略的高效搜索算法。它利用数据的有序性,每轮减少一半搜索范围,直至找到目标元素或搜索区间为空为止。</p>
<div class="admonition question">
@@ -4035,11 +4067,73 @@
<li>小数据量下,线性查找性能更佳。在线性查找中,每轮只需要 1 次判断操作;而在二分查找中,需要 1 次加法、1 次除法、1 ~ 3 次判断操作、1 次加法(减法),共 4 ~ 6 个单元操作;因此,当数据量 <span class="arithmatex">\(n\)</span> 较小时,线性查找反而比二分查找更快。</li>
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<h1 id="103">10.3 &nbsp; 二分查找边界<a class="headerlink" href="#103" title="Permanent link">&para;</a></h1>
<h2 id="1031">10.3.1 &nbsp; 查找左边界<a class="headerlink" href="#1031" title="Permanent link">&para;</a></h2>
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@@ -3870,11 +3902,73 @@
<li>因为该方法引入了小数,所以需要将函数中的变量 <code>target</code> 改为浮点数类型。</li>
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@@ -3449,6 +3474,13 @@
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<h1 id="102">10.2 &nbsp; 二分查找插入点<a class="headerlink" href="#102" title="Permanent link">&para;</a></h1>
<p>二分查找不仅可用于搜索目标元素,还具有许多变种问题,比如搜索目标元素的插入位置。</p>
<h2 id="1021">10.2.1 &nbsp; 无重复元素的情况<a class="headerlink" href="#1021" title="Permanent link">&para;</a></h2>
@@ -3970,11 +4002,73 @@
<p>总的来看,二分查找无非就是给指针 <span class="arithmatex">\(i\)</span><span class="arithmatex">\(j\)</span> 分别设定搜索目标,目标可能是一个具体的元素(例如 <code>target</code> ),也可能是一个元素范围(例如小于 <code>target</code> 的元素)。</p>
<p>在不断的循环二分中,指针 <span class="arithmatex">\(i\)</span><span class="arithmatex">\(j\)</span> 都逐渐逼近预先设定的目标。最终,它们或是成功找到答案,或是越过边界后停止。</p>
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@@ -3399,11 +3431,73 @@
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<h1 id="104">10.4 &nbsp; 哈希优化策略<a class="headerlink" href="#104" title="Permanent link">&para;</a></h1>
<p>在算法题中,<strong>我们常通过将线性查找替换为哈希查找来降低算法的时间复杂度</strong>。我们借助一个算法题来加深理解。</p>
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@@ -3901,11 +3933,73 @@
<p>此方法通过哈希查找将时间复杂度从 <span class="arithmatex">\(O(n^2)\)</span> 降低至 <span class="arithmatex">\(O(n)\)</span> ,大幅提升运行效率。</p>
<p>由于需要维护一个额外的哈希表,因此空间复杂度为 <span class="arithmatex">\(O(n)\)</span><strong>尽管如此,该方法的整体时空效率更为均衡,因此它是本题的最优解法</strong></p>
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<p>「搜索算法 searching algorithm」用于在数据结构(例如数组、链表、树或图)中搜索一个或一组满足特定条件的元素。</p>
<p>搜索算法可根据实现思路分为以下两类。</p>
@@ -3577,11 +3609,73 @@
<li>若使用 AVL 树或红黑树,则各项操作可在 <span class="arithmatex">\(O(\log n)\)</span> 效率下稳定运行,但维护树平衡的操作会增加额外开销。</li>
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@@ -3385,11 +3417,73 @@
<li>用哈希查找替换线性查找是一种常用的优化运行时间的策略,可将时间复杂度从 <span class="arithmatex">\(O(n)\)</span> 降低至 <span class="arithmatex">\(O(1)\)</span></li>
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