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序
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序
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第 0 章 &nbsp; 前言
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第 1 章 &nbsp; 初识算法
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第 2 章 &nbsp; 复杂度分析
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第 3 章 &nbsp; 数据结构
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第 4 章 &nbsp; 数组与链表
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第 5 章 &nbsp; 栈与队列
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第 6 章 &nbsp; 哈希表
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第 7 章 &nbsp; 树
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第 8 章 &nbsp; 堆
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第 9 章 &nbsp; 图
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第 10 章 &nbsp; 搜索
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第 11 章 &nbsp; 排序
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第 12 章 &nbsp; 分治
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第 13 章 &nbsp; 回溯
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第 14 章 &nbsp; 动态规划
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第 15 章 &nbsp; 贪心
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第 16 章 &nbsp; 附录
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参考文献
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<!-- Page content -->
<h1 id="151">15.1 &nbsp; 贪心算法<a class="headerlink" href="#151" title="Permanent link">&para;</a></h1>
<p>「贪心算法 greedy algorithm」是一种常见的解决优化问题的算法，其基本思想是在问题的每个决策阶段，都选择当前看起来最优的选择，即贪心地做出局部最优的决策，以期获得全局最优解。贪心算法简洁且高效，在许多实际问题中有着广泛的应用。</p>
<p><u>贪心算法（greedy algorithm）</u>是一种常见的解决优化问题的算法，其基本思想是在问题的每个决策阶段，都选择当前看起来最优的选择，即贪心地做出局部最优的决策，以期获得全局最优解。贪心算法简洁且高效，在许多实际问题中有着广泛的应用。</p>
<p>贪心算法和动态规划都常用于解决优化问题。它们之间存在一些相似之处，比如都依赖最优子结构性质，但工作原理不同。</p>
<ul>
<li>动态规划会根据之前阶段的所有决策来考虑当前决策，并使用过去子问题的解来构建当前子问题的解。</li>
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