Algorithms Illuminated读书介绍
| 类别 | 页数 | 译者 | 网友评分 | 年代 | 出版社 |
|---|---|---|---|---|---|
| 书籍 | 218页 | 9.4 | 2020 | Soundlikeyourself Publishing |
| 定价 | 出版日期 | 最近访问 | 访问指数 |
|---|---|---|---|
| USD 17.99 | 2020-02-20 … | 2020-06-11 … | 8 |
Algorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to public-key cryptography and machine learning. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms Illuminated is an accessible introduction to the subject for anyone with at least a little programming experience. The exposition emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details---like a transcript of what an expert algorithms tutor would say over a series of one-on-one lessons. Part 1 covers asymptotic analysis and big-O notation, divide-and-conquer algorithms and the master method, randomized algorithms, and several famous algorithms for sorting and selection.
作者简介Tim Roughgarden is a Professor of Computer Science and (by courtesy) Management Science and Engineering at Stanford University, where he has taught and researched algorithms since 2004. This book is the first of a four-part series based on his online algorithms courses that have been running regularly since 2012.
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