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.
##不是應該還有2嗎,我怎麼沒有找到2
評分##不是應該還有2嗎,我怎麼沒有找到2
評分##不是應該還有2嗎,我怎麼沒有找到2
評分##Prof. Tim Roughgarden的力作。歸納整理的很好很好
評分##不是應該還有2嗎,我怎麼沒有找到2
評分相比起 Sedgewick 的 Algorithms,更注重大局觀和數學證明。但因為不講實現細節,所以讀者可能容易落入眼高手低的陷阱。
評分##非常細緻的書,算法證明和靈感來源都有
評分##非常細緻的書,算法證明和靈感來源都有
評分##非常細緻的書,算法證明和靈感來源都有
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