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学生对 法国巴黎高等师范学院 提供的 Approximation Algorithms Part II 的评价和反馈

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Approximation algorithms, Part 2 This is the continuation of Approximation algorithms, Part 1. Here you will learn linear programming duality applied to the design of some approximation algorithms, and semidefinite programming applied to Maxcut. By taking the two parts of this course, you will be exposed to a range of problems at the foundations of theoretical computer science, and to powerful design and analysis techniques. Upon completion, you will be able to recognize, when faced with a new combinatorial optimization problem, whether it is close to one of a few known basic problems, and will be able to design linear programming relaxations and use randomized rounding to attempt to solve your own problem. The course content and in particular the homework is of a theoretical nature without any programming assignments. This is the second of a two-part course on Approximation Algorithms....



Mar 13, 2016

It is remarkable to note that Professor Claire Mathieu explains such a complex subject in such a elegant and understandable manner.


Feb 15, 2017

Even better than the first! Very good classes (except for the two first of week 3 ...)


1 - Approximation Algorithms Part II 的 9 个评论(共 9 个)

创建者 Andrew P

Oct 28, 2016

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Mar 1, 2018

创建者 Claus D M P

Aug 18, 2016

创建者 Maxime J

Feb 26, 2017

创建者 Zhouningnan

Jan 10, 2017

创建者 Refik A

Mar 14, 2016

创建者 Paulo E d V

Feb 16, 2017

创建者 Reynaldo G

Mar 4, 2016

创建者 victor g

Jul 21, 2017