chapter_data_structure/summary/ #62
Replies: 30 comments 10 replies
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“所有数据结构都是由数组、链表或两者的组合实现的。” 道出了数据结果的本质 |
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大佬!提个笔误? “浮点数的编码由 1 位符号位、8 位指数位和 23 位分数为构成” 23位分数位 |
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数据结构都是由数组和链表实现,让我大为震撼 |
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我要是早半年看到就好了,感谢大佬! |
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很清晰好理解,对于入门的学习者来说很友好了 |
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每个章节的总结都很好,可以复查一下自己哪些还没理解 |
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对小白太友好了 如果刚开始能知道这本书就好了 |
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我们老师上课太枯燥了,不如看这个有意思 |
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请问如果是链式栈,是否就不是静态的数据结构了,这个貌似是可以动态添加的 |
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0~3章节over! |
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4.20打卡 finish Chapter 3 |
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这个教程真的泰酷辣! Q:为什么哈希表同时包含线性数据结构和非线性数据结构? 哈希表底层是数组,而为了解决哈希冲突,我们可能会使用“链式地址”(后续“哈希冲突”章节会讲):数组中每个桶指向一个链表,当链表长度超过一定阈值时,又可能被转化为树(通常为红黑树)。 从存储的角度来看,哈希表的底层是数组,其中每一个桶槽位可能包含一个值,也可能包含一个链表或一棵树。因此,哈希表可能同时包含线性数据结构(数组、链表)和非线性数据结构(树)。 |
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反码补码那个受益匪浅!!! |
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数字是以补码的形式存储在计算机中,在加减法计算时,将减法转化为加法,引入补码就可以完成这些运算,而且解决了+-0的问题,用-0的对应的原码表示-128,这就是为什么一字节最小为-128.然后float同样为4字节,但是取值范围远大于int,因为float的采用不同的标准方式,第一比特是符号位,后八比特是指数位,最后23比特是分数位,虽然float取值范围大,但是其精度低,最后字符编码,我的python是UTF-8编码 |
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太厉害了,我不是计算机科班出身,对计算机如何表示数字的底层很好奇,以前看资料和教材,看到原码,反码,补码的概念其实有些云里雾里的。但是感到你这里的补数讲解,如醍醐灌顶,非常感谢您。 |
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2024.5.27打卡😊 |
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原文:ASCII 码是最早出现的英文字符集,长度为 1 字节,共收录 127 个字符。 |
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原码转补码的方法是“先取反后加 1”,那么补码转原码应该是逆运算“先减 1 后取反”,而补码转原码也一样可以通过“先取反后加 1”得到,这是为什么呢? |
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我觉得关于这个问题“原码转补码的方法是“先取反后加 1”,那么补码转原码应该是逆运算“先减 1 后取反”,而补码转原码也一样可以通过“先取反后加 1”得到,这是为什么呢” 还可以这么解释: |
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有个问题,正数的反码,补码不是都不变嘛,所以这里的例子是否有问题? |
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这章的每一节都能展开讲半天。 |
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从下一章开始就要进入多练模式啦!加油呀! |
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chapter_data_structure/summary/
Your first book to learn Data Structure And Algorithm.
https://www.hello-algo.com/chapter_data_structure/summary/
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