发表于2025-04-03
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.
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.
Algorithms Illuminated 下载 mobi pdf epub txt 电子书 格式 2025
Algorithms Illuminated 下载 mobi epub pdf 电子书##非常细致的书,算法证明和灵感来源都有
评分##非常细致的书,算法证明和灵感来源都有
评分 评分 评分 评分相比起 Sedgewick 的 Algorithms,更注重大局观和数学证明。但因为不讲实现细节,所以读者可能容易落入眼高手低的陷阱。
评分 评分 评分相比起 Sedgewick 的 Algorithms,更注重大局观和数学证明。但因为不讲实现细节,所以读者可能容易落入眼高手低的陷阱。
Algorithms Illuminated mobi epub pdf txt 电子书 格式下载 2025