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</head>
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10.2 &nbsp; 二分查找插入点
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10.3 &nbsp; 二分查找边界
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第 12 章 &nbsp; 分治
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12.1 &nbsp; 分治算法
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12.2 &nbsp; 分治搜索策略
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12.3 &nbsp; 构建树问题
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12.4 &nbsp; 汉诺塔问题
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12.5 &nbsp; 小结
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第 14 章 &nbsp; 动态规划
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14.1 &nbsp; 初探动态规划
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14.2 &nbsp; DP 问题特性
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14.3 &nbsp; DP 解题思路
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14.4 &nbsp; 0-1 背包问题
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14.5 &nbsp; 完全背包问题
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14.6 &nbsp; 编辑距离问题
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14.7 &nbsp; 小结
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第 15 章 &nbsp; 贪心
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15.1 &nbsp; 贪心算法
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15.2 &nbsp; 分数背包问题
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15.3 &nbsp; 最大容量问题
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15.4 &nbsp; 最大切分乘积问题
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15.5 &nbsp; 小结
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<p class="admonition-title">Question</p>
<p>给定一个长度为 <span class="arithmatex">\(n\)</span> 的数组 <code>nums</code> ，元素按从小到大的顺序排列，数组不包含重复元素。请查找并返回元素 <code>target</code> 在该数组中的索引。若数组不包含该元素，则返回 <span class="arithmatex">\(-1\)</span> 。</p>
</div>
<p><img alt="二分查找示例数据" src="../binary_search.assets/binary_search_example.png" /></p>
<p><a class="glightbox" href="../binary_search.assets/binary_search_example.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="二分查找示例数据" src="../binary_search.assets/binary_search_example.png" /></a></p>
<p align="center"> 图 10-1 &nbsp; 二分查找示例数据 </p>
<p>如图 10-2 所示，我们先初始化指针 <span class="arithmatex">\(i = 0\)</span> 和 <span class="arithmatex">\(j = n - 1\)</span> ，分别指向数组首元素和尾元素，代表搜索区间 <span class="arithmatex">\([0, n - 1]\)</span> 。请注意，中括号表示闭区间，其包含边界值本身。</p>
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<div class="tabbed-set tabbed-alternate" data-tabs="1:7"><input checked="checked" id="__tabbed_1_1" name="__tabbed_1" type="radio" /><input id="__tabbed_1_2" name="__tabbed_1" type="radio" /><input id="__tabbed_1_3" name="__tabbed_1" type="radio" /><input id="__tabbed_1_4" name="__tabbed_1" type="radio" /><input id="__tabbed_1_5" name="__tabbed_1" type="radio" /><input id="__tabbed_1_6" name="__tabbed_1" type="radio" /><input id="__tabbed_1_7" name="__tabbed_1" type="radio" /><div class="tabbed-labels"><label for="__tabbed_1_1">&lt;1&gt;</label><label for="__tabbed_1_2">&lt;2&gt;</label><label for="__tabbed_1_3">&lt;3&gt;</label><label for="__tabbed_1_4">&lt;4&gt;</label><label for="__tabbed_1_5">&lt;5&gt;</label><label for="__tabbed_1_6">&lt;6&gt;</label><label for="__tabbed_1_7">&lt;7&gt;</label></div>
<div class="tabbed-content">
<div class="tabbed-block">
<p><img alt="二分查找流程" src="../binary_search.assets/binary_search_step1.png" /></p>
<p><a class="glightbox" href="../binary_search.assets/binary_search_step1.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="二分查找流程" src="../binary_search.assets/binary_search_step1.png" /></a></p>
</div>
<div class="tabbed-block">
<p><img alt="binary_search_step2" src="../binary_search.assets/binary_search_step2.png" /></p>
<p><a class="glightbox" href="../binary_search.assets/binary_search_step2.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="binary_search_step2" src="../binary_search.assets/binary_search_step2.png" /></a></p>
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<p><img alt="binary_search_step3" src="../binary_search.assets/binary_search_step3.png" /></p>
<p><a class="glightbox" href="../binary_search.assets/binary_search_step3.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="binary_search_step3" src="../binary_search.assets/binary_search_step3.png" /></a></p>
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<p><img alt="binary_search_step4" src="../binary_search.assets/binary_search_step4.png" /></p>
<p><a class="glightbox" href="../binary_search.assets/binary_search_step4.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="binary_search_step4" src="../binary_search.assets/binary_search_step4.png" /></a></p>
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<p><img alt="binary_search_step5" src="../binary_search.assets/binary_search_step5.png" /></p>
<p><a class="glightbox" href="../binary_search.assets/binary_search_step5.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="binary_search_step5" src="../binary_search.assets/binary_search_step5.png" /></a></p>
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<p><img alt="binary_search_step6" src="../binary_search.assets/binary_search_step6.png" /></p>
<p><a class="glightbox" href="../binary_search.assets/binary_search_step6.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="binary_search_step6" src="../binary_search.assets/binary_search_step6.png" /></a></p>
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<p><img alt="binary_search_step7" src="../binary_search.assets/binary_search_step7.png" /></p>
<p><a class="glightbox" href="../binary_search.assets/binary_search_step7.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="binary_search_step7" src="../binary_search.assets/binary_search_step7.png" /></a></p>
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</div>
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</div>
<p>如图 10-3 所示，在两种区间表示下，二分查找算法的初始化、循环条件和缩小区间操作皆有所不同。</p>
<p>由于“双闭区间”表示中的左右边界都被定义为闭区间，因此指针 <span class="arithmatex">\(i\)</span> 和 <span class="arithmatex">\(j\)</span> 缩小区间操作也是对称的。这样更不容易出错，<strong>因此一般建议采用“双闭区间”的写法</strong>。</p>
<p><img alt="两种区间定义" src="../binary_search.assets/binary_search_ranges.png" /></p>
<p><a class="glightbox" href="../binary_search.assets/binary_search_ranges.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="两种区间定义" src="../binary_search.assets/binary_search_ranges.png" /></a></p>
<p align="center"> 图 10-3 &nbsp; 两种区间定义 </p>
<h2 id="1012">10.1.2 &nbsp; 优点与局限性<a class="headerlink" href="#1012" title="Permanent link">&para;</a></h2>
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