计算机科学的数学基础

Hacker News 上怎么说

• treerex · 2013 年

  Graham、Knuth 和 Patashnik 写的《具体数学》（Concrete Mathematics）可能是死磕 TAoCP 最好的准备了，不过读起来也绝不轻松。你也可以看看 Lehman、Leighton 和 Meyer 写的《Mathematics for Computer Science》。可以在这里看到：http://courses.csail.mit.edu/6.042/fall10/mcs-ftl.pdf 。

  "Concrete Mathematics" by Graham, Knuth and Patashnik is probably the best preparation for tackling TAoCP, though it is not light reading either. You could also look at "Mathematics for Computer Science" by Lehman, Leighton, and Meyer. It is available at http://courses.csail.mit.edu/6.042/fall10/mcs-ftl.pdf .

• sillysaurus3 · 2014 年

  整本书都相当引人入胜，Lehman 和 Leighton 写的《Mathematics for Computer Science》：http://www.cs.princeton.edu/courses/archive/spring10/cos433/... 这个公式出自 17.3.2 节，里面详细讲解了它是怎么推导出来的。

  The whole book is pretty fascinating, "Mathematics for Computer Science" by Lehman and Leighton: http://www.cs.princeton.edu/courses/archive/spring10/cos433/... The formula came from section 17.3.2, which goes into detail about how to derive it.

• kmfrk · 2012 年

  我觉得 Eric Lehman 和 Tom Leighton 写的《Mathematics for Computer Science》（http://www.cs.princeton.edu/courses/archive/spr10/cos433/mat...）是绝佳的学习资源。它对数学归纳法的解释是我见过最好的——离散数学的书通常都……

  I think Mathematics for Computer Science Eric Lehman and Tom Leighton (http://www.cs.princeton.edu/courses/archive/spr10/cos433/mat...) is a great resource. It has the best explanation of induction I have seen - discrete maths books are normally…

• subset · 2020 年

  我也非常喜欢 MIT 由 Lehman、Leighton 和 Meyer 写的《Mathematics for Computer Science》（http://courses.csail.mit.edu/6.042/spring18/mcs.pdf）

  I also really enjoyed MIT's "Mathematics for Computer Science" by Lehman, Leighton & Meyer (http://courses.csail.mit.edu/6.042/spring18/mcs.pdf)

• sirodoht · 2022 年

  1. 苏珊娜·S·埃普《离散数学及其应用》https://condor.depaul.edu/~sepp/DMwA4e.htm 2. 埃里克·雷曼、F·汤姆森·雷顿、阿尔伯特·R·迈尔《计算机科学的数学》https://courses.csail.mit.edu/6.042/spring18/mcs.pdf

  1. Discrete Mathematics with Applications by Susanna S. Epp https://condor.depaul.edu/~sepp/DMwA4e.htm 2. Mathematics for Computer Science by by Eric Lehman, F Thomson Leighton, Albert R Meyer https://courses.csail.mit.edu/6.042/spring18/mcs.pdf

• stiff · 2013 年

  ……讲义、做好的作业等等。我会建议先看这两门：计算机程序的构造和解释（SICP）：http://ocw.mit.edu/courses/electrical-engineering-and-comput... 计算机科学的数学：http://ocw.mit.edu/courses/electrical-engineering-and-comput... 第一门简直是软件工程的大师课，另一门则是为你学习算法打基础，我认为……

  …lectures, solved homeworks etc. I would start with going through those two first: Structure And Interpretation Of Computer Programs: http://ocw.mit.edu/courses/electrical-engineering-and-comput... Mathematics For Computer Science: http://ocw.mit.edu/courses/electrical-engineering-and-comput... The first one is pretty much a master class in software engineering, the other prepares you for studying algorithms, I would consider…

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