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Analysis of Algorithms, Princeton University

37 個評分
5 個審閱


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. All the features of this course are available for free. It does not offer a certificate upon completion....

5 個審閱

創建者 zhangdi

Sep 16, 2018


創建者 Ivan Furone

May 03, 2018

This course offers an extensive coverage of mathematical material like tools and techniques, putting special emphasis on simple principles and never losing its focus on the general perspective of the topic.

Developing insight on analytic functions together with combinatorics and the practical applications of theory into code gives a significant advantage over using naive approaches.

A special appreciation to Prof. Sedgewick's endless efforts for disseminating mathematical knowledge among programmers, over this platform and even outside!

Thank you very much.

創建者 Andriy Kozachuk

Apr 29, 2018

This course is more about mathematic than algorithms, it teaches how to solve tricky combinatorial problems

創建者 Konstantin

Apr 26, 2018

I didn't like this course at all. Cover less material, but explain it better. Most of the students drop out after week 3.

創建者 Hafidz Jazuli Luthfi

Mar 10, 2018

This is great course if you already done some algorithms courses and want to go deeper.