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Voltar para Approximation Algorithms Part I

Comentários e feedback de alunos de Approximation Algorithms Part I da instituição Escola Normal Superior de Paris

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Sobre o curso

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 favorite and amazingly successful technique in this area. By taking 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 first of a two-part course on Approximation Algorithms....

Melhores avaliações

DA

26 de jan de 2016

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

MH

28 de mai de 2020

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

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26 — 50 de 94 Avaliações para o Approximation Algorithms Part I

por VASUDHA K

30 de out de 2021

Useful Course For passionate learners

por Antonio C

27 de jul de 2017

Really good course and Professor.

por HEMALATHA P

8 de out de 2021

This is very interesting course.

por TETALI H V S C R

30 de set de 2021

it is very usefull to students

por Sahil M

30 de out de 2021

c​ertificate is not alloted

por Pallapothu L K K

30 de out de 2021

good course for beginners

por Hari P R

30 de out de 2021

good and very simple .

por Prahasith N

30 de set de 2021

it is more helpfull

por Zhenwei L

15 de ago de 2019

I love this course!

por BODDUKURI V B

28 de out de 2021

very useful course

por Paulo E d V

13 de fev de 2017

Great course!

por MANTUR V R

25 de out de 2021

very usefull

por Chetan s

31 de out de 2021

noyhitnbdb

c

por Madala L P

27 de out de 2021

very useful

por RITHVIK V S D

9 de out de 2021

good course

por Roberto p g j

21 de set de 2017

Very good !

por Pasquale D M

30 de mai de 2017

super cool!

por Pierre-Cyrille H

23 de jun de 2016

Excellent!

por AMBATI S

23 de out de 2021

nothing

por Kaustubh M

17 de out de 2021

awesome

por Siddu R

21 de out de 2021

noice

por Rishav k

13 de out de 2021

ossum

por manne b p

6 de out de 2021

n​ice

por TIRUVEEDULA S H

9 de nov de 2021

good

por Shaik s a

2 de nov de 2021

good