Analysis of Algorithms

开始时间: 03/04/2016 持续时间: 6 weeks

所在平台: Coursera

课程类别: 数学

大学或机构: Princeton University(普林斯顿大学)

授课老师: Robert Sedgewick



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Analysis of Algorithms aims to enable precise quantitative predictions of the properties of large combinatorial structures. The theory has emerged over recent decades as essential both for the scientific analysis of algorithms in computer science and for the study of scientific models in many other disciplines, including probability theory, statistical physics, computational biology and information theory. This course covers recurrence relations, generating functions, asymptotics, and fundamental structures such as trees, permutations, strings, tries, words, and mappings, in the context of applications to the analysis of algorithms.


Lecture  1  Analysis of Algorithms
Lecture  2  Recurrences
Lecture  3  Solving recurrences with GFs
Lecture  4  Asymptotics
Lecture  5  The symbolic method
Lecture  6  Trees
Lecture  7  Permutations
Lecture  8  Strings and Tries
Lecture  9  Words and Mappings



都柏林的老菲利普 2014-02-01 12:20 0 票支持; 0 票反对

书非常好,建议和Concrete Maths一起读

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This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.


算法 算法分析 算法分析入门 算法分析导论 普林斯顿大学 Sedgewick



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