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    Back to Approximation Algorithms Part I

    Learner Reviews & Feedback for Approximation Algorithms Part I by École normale supérieure

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    4.7
    stars
    554 ratings

    About the Course

    Approximation algorithms, Part I How efficiently can you pack objects into a minimum number of boxes? How well can you cluster nodes so as
    to cheaply separate a network into components around a few centers? These are examples of NP-hard combinatorial optimization problems. It
    is most likely impossible to solve such problems efficiently, so our aim is to give an approximate solution that can be computed in polynomial
    time and that at the same time has provable guarantees on its cost relative to the optimum. This course assumes knowledge of a standard
    undergraduate Algorithms course, and particularly emphasizes algorithms that can be designed using linear programming, a ...
    ...

    Top reviews

    DA

    Jan 27, 2016

    Filled StarFilled StarFilled StarFilled StarFilled Star

    The course provides a high-level introduction to approximation algorithm. There is no programming assignments but it provides nice introduction to approximation algorithm.

    MH

    May 29, 2020

    Filled StarFilled StarFilled StarFilled StarFilled Star

    A great course if you want to learn about approximation algorithms from the point of view of linear programming relaxation!

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