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.
##非常细致的书,算法证明和灵感来源都有
##Prof. Tim Roughgarden的力作。归纳整理的很好很好
##非常细致的书,算法证明和灵感来源都有
##非常细致的书,算法证明和灵感来源都有
##Prof. Tim Roughgarden的力作。归纳整理的很好很好
##非常细致的书,算法证明和灵感来源都有
##非常细致的书,算法证明和灵感来源都有
##Tim老师跟着自己在coursera上algorithms的specialization写的书。没有CLRS覆盖的内容多,但是我觉得讲解的更清晰更细致,尤其是里面涉及了很多code时候需要注意的细节。不过这个感受也可能存在bias,因为这是第二遍深入复习和dive的时候的感受。
##Tim老师跟着自己在coursera上algorithms的specialization写的书。没有CLRS覆盖的内容多,但是我觉得讲解的更清晰更细致,尤其是里面涉及了很多code时候需要注意的细节。不过这个感受也可能存在bias,因为这是第二遍深入复习和dive的时候的感受。