chapter_introduction/algorithms_are_everywhere/ #87
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Replies: 143 comments 58 replies
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例子生动形象 |
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原来查字典就是用二分查找，之前一直没注意到 |
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是的，整体的思想是一样的。不同点在于，人不能像计算机一样精确地找到中点；但人可以根据“先验知识”来启发式地翻向某页，例如如果是字母 a ，由于知道 a 是第一个字母，我们下意识地会翻比较靠前的位置。当然，这种 trick 也可以在算法中实现。 |
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虽然现实中的案例很容易理解，但是实际转换成代码还是好吃力🥹 |
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@zh-h 确实之间还是有 gap 的～ |
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积木的例子很好的帮助记忆哎 |
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支持开源！ |
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CS 50 里面也是用的字典做的二分法的例子。那个老师真的就把一本书撕掉了。lol |
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哈哈哈哈哈，我也看到了，劲真大 |
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一个小建议：把积木的例子换成做菜，各种不同的食材就是不同的数据结构，而算法其实就是做菜的蒸、煮、烹、炸…处理步骤。类比积木好像有点单一。 |
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你说的也有道理 |
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哈喽～我们可以在不同的数据结构中存储相同的数据，例如 1, 2, 3, 4, 5 ，可以存在数组中，也可以存在链表中。 从这个角度看，“各种不同的食材就是不同的数据结构“可能有带商榷。因为不同食材的“原材料”可能也是不一样的，比如肉类是蛋白质、米面是淀粉。 那换种说法“烧土豆”，我们将土豆看作”数据“，可以把土豆切成丝、切成块等，代表不同的“数据结构”，是否更加合适？ |
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哈哈对的，细想食材应该类比为数据才对应，数据结构是对食材的预加工、组合方式，即备菜环节，土豆削皮、切丝、切块或者不削皮不切都能通过不同的算法（烹煮炒炸烤）获得不同的菜品。有些菜，食材用得单一但步骤多且耗时，时间复杂度高；有些菜，步骤不多但食材用得丰富，空间复杂度高…要做什么菜就对应用什么锅什么厨具，是大是小是圆是平等等，运行内存其实就类比厨具…程序员其实是出产程序系统的厨师，…抛砖引玉，越抽象越不容易理解，具象化类比后，可能更容易吸收 |
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积木的例子在哪里 怎么看不到了 |
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@yuweijiang0803 在下一节 |
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你们真的好厉害，很支持 |
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谢谢鼓励，一起加油！ |
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真的帮助很大 |
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我开始学了，希望能在今年看完这本书 |
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加油！ |
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受益 |
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这个例子很不错 |
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举得的例子真的好形象，一下子就将现实和虚拟的数据结构联系起来了 |
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深入浅出！ |
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k神！原来我小学就会 |
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确实🤣接下来学如何用计算机实现二分 |
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喜欢这个例子！ |
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能问下，文中比如代码块上边的不同tap这种是怎么做的呢 |
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这个是 MkDocs-Material 开源项目支持的特性 |
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感谢作者,很有帮助. 有个建议, 评论的输入框放到评论区的顶部可能会好一点 |
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谢谢建议，已更新～！ |
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太舒服了这本书看的，十分感谢 |
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这本书是帮助小白学编程吗 |
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三个例子非常好，继续学习！！！！！！！1 |
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打卡第一章，加油努力！ |
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为何我的邮箱会收到你的评论 |
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例子通俗理解，打卡 |
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不知道，是不是你没把问题给closed？
…------------------ 原始邮件 ------------------
发件人: "krahets/hello-algo" ***@***.***>;
发送时间: 2025年2月21日(星期五) 晚上11:16
***@***.***>;
***@***.******@***.***>;
主题: Re: [krahets/hello-algo] chapter_introduction/algorithms_are_everywhere/ (Discussion #87)
为何我的邮箱会收到你的评论
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Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because you commented.Message ID: ***@***.***>
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例子通俗易懂 |
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第例一中，我有个疑问，希望前辈能解惑： |
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他不是在找R的位置，是在找拼音首字母为R的页码，翻开一半，首字母为M，因为R在M之后所以排除字典前半部分，查找范围缩小到后半部分 |
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问题是，你在翻字典的时候，一定能一次翻到第十八个字母“R”吗 |
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字典是只有26个字母，数量很小是没必要，但字典不只有26页，而是几百页，此时二分查找就很有必要。 |
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打卡！ |
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这是来自QQ邮箱的假期自动回复邮件。
您好，邮件已收到。记得常联系哦
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谢谢，您的邮件我已收到。
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非常好教程，使我的大脑重新工作 |
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非常好的教程，使我的大脑破碎重组💀💀💀 |
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谢谢，您的邮件我已收到。
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例子生动形象比传统教材 好使多了 过来复习复习 |
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chapter_introduction/algorithms_are_everywhere/
动画图解、一键运行的数据结构与算法教程
https://www.hello-algo.com/chapter_introduction/algorithms_are_everywhere/
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