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更新László Lovász 的课程笔记新链接 #30

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2 changes: 1 addition & 1 deletion TeachYourselfCS-CN.md
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对于计算机科学,数学中最相关的领域是「离散数学」,其中的「离散」与「连续」相对立,大致上指的是应用数学中那些有趣的主题,而不是微积分之类的。由于定义比较含糊,试图掌握离散数学的全部内容是没有意义的。较为现实的学习目标是,了解逻辑、排列组合、概率论、集合论、图论以及密码学相关的一些数论知识。考虑到线性代数在计算机图形学和机器学习中的重要性,该领域同样值得学习。

学习离散数学,我们建议从 [László Lovász 的课程笔记](http://www.cs.elte.hu/~lovasz/dmbook.ps) 开始。Lovász 教授成功地让这些内容浅显易懂且符合直觉,因此,比起正式的教材,这更适合初学者。
学习离散数学,我们建议从 [László Lovász 的课程笔记](https://cims.nyu.edu/~regev/teaching/discrete_math_fall_2005/dmbook.pdf) 开始。Lovász 教授成功地让这些内容浅显易懂且符合直觉,因此,比起正式的教材,这更适合初学者。

对于更加高阶的学习,我们推荐 [《计算机科学中的数学》](https://book.douban.com/subject/33396340/),MIT 同名课程的课程笔记,篇幅与书籍相当(事实上,现已出版)。这门课程的视频同样 [可免费获得](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/video-lectures/),是我们所推荐的学习视频。

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