chapter_introduction/summary/ #389
giscus[bot]
bot
Replies: 59 comments 11 replies
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沙发，非常喜欢，希望跟着看完与做完 |
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找到好东西了，坚持学玩 |
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确实是好东西 |
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数据结构为算法服务 |
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就喜欢这种简洁明了、通俗易懂的解释！ |
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哇感谢大佬，算法小白努力学习中 |
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20230908
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前端小菜鸟打卡打卡~ |
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打卡打卡，自己之前没有好好学，真的不能再这么废物下去了 |
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打卡 |
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超高水平，讲的很通俗易懂。手动打Call！！！ |
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算法的美妙世界，我来了！ |
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11.7日看了前两章，用时25分钟。 |
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昨天开始看了，真不错 |
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比较类查找算法的时间复杂度的下限是O(logn)，而比较类排序算法的时间复杂度下限是O(log(n!)) = O(nlogn)。 若要继续降低时间复杂度，就不能用比较计算模型。 查找算法的时间复杂度可降低到O(1)，而排序算法的时间复杂度可降低到O(n)。 计算机处理数据的过程： R --> 反序列化(解码) --> M --> 序列化(编码) --> W，即RMW； |
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在刷算法题的过程中，我还发现所有算法题都是纯函数；但在实际工作中，基本上都不是纯函数，因此需要把那部分数据映射为输入部分或输出部分； |
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在工程领域中，大量问题是难以达到最优解的，许多问题只是被“差不多”地解决了。问题的难易程度一方面取决于问题本身的性质，另一方面也取决于观测问题的人的知识储备。人的知识越完备、经验越多，分析问题就会越深入，问题就能被解决得更优雅。 |
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学了很多算法，刷了很多题，这篇小结，我觉得非常非常精华，之前我一直把刷算法，当成面试的一个工具，一直很迷茫，甚至还腹诽过设计面试题的那些人。现在豁然开朗，非常认可“人的知识越完备、经验越多，分析问题就会越深入，问题就能被解决得更优雅。” |
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算法本身体现很深的哲学含义，例如数据结构层面本身就是一种权衡的结果，这也能指导如何在投入和收益之间取得一些平衡。 |
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确实，学了算法并不是要求自己去造轮子，而是别人造轮子自己能读懂不是一知半解的状态 |
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打个卡支持一波！ |
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“学算法的意义不是从零实现它，而是解决问题时可以基于学到的知识作出专业的反应和判断”，这里说的太好了 |
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2024-11-24 打卡 |
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"如果把具体的工作技能比作是武功的“招式”的话，那么基础科目应该更像是“内功”。" |
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贪心算法，插入排序。。。 |
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练武不练功，到老一场空 |
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and others
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chapter_introduction/summary/
一本动画图解、能运行、可提问的数据结构与算法入门书
https://www.hello-algo.com/chapter_introduction/summary/
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