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Volver a Divide and Conquer, Sorting and Searching, and Randomized Algorithms

Opiniones y comentarios de aprendices correspondientes a Divide and Conquer, Sorting and Searching, and Randomized Algorithms por parte de Universidad de Stanford

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Acerca del Curso

The primary topics in this part of the specialization are: asymptotic ("Big-oh") notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), and randomized algorithms (QuickSort, contraction algorithm for min cuts)....

Principales reseñas

KS
13 de sep. de 2018

Well researched. Topics covered well, with walkthrough for exam.le cases for each new introduced algorithm. Great experience, learned a lot of important algorithms and algorithmic thinking practices.

DT
26 de may. de 2020

Thank you for teaching me this course. I learned a lot of new things, including Divide-and-Conquer, MergeSort, QuickSort, and Randomization Algorithms, along with proof for their asymptotic runtime

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351 - 375 de 887 revisiones para Divide and Conquer, Sorting and Searching, and Randomized Algorithms

por Difu W

12 de abr. de 2018

If the words on the screen were typed, the learning experience will be much better!

por Munish a

13 de may. de 2021

The only thing that can be improved is the lag between the presentation and audio.

por Tanay D

22 de sep. de 2020

Really good course , people with basic programming knowledge will love this course

por Tjano X

24 de may. de 2020

Great course! Very good and clear explanations, really good math. I will continue.

por Alexandr K

7 de abr. de 2019

Great in-depth explanation of algorithm analysis, good examples of learned topics!

por charles

23 de nov. de 2016

Very good course on algorithms, a lot of terms explained in details with exercises

por Guillaume D

7 de dic. de 2020

Really interesting, well explained and challenging, can't wait to see what's next

por Anil K M

19 de nov. de 2017

One of the best courses on Divide & Conquer and Randomized Algorithms on the web.

por Daniel H

22 de dic. de 2016

Excellent course! I would recommend it to everyone who wants to learn algorithms.

por Adeesh A

1 de abr. de 2020

Great explanation . All the algorithms are thought with proof of time complexity

por Aditya K J

30 de mar. de 2018

A comprehensive courses with details on correctness,implementation and analysis.

por Udhayakumar S

31 de may. de 2017

Understood very much about random algorithms. Appreciate the rigour in analysis.

por Kevin H

29 de oct. de 2020

Great Course for really diving into data structures and algorithms. Thanks Tim!

por eyes r

12 de may. de 2018

Outstanding introduction to algorithms with great practice problems and quizzes

por Yifan W

23 de oct. de 2016

It's an amazing courses aiming to high-level and fast-pace algorithmic thinker.

por Mafruha C

12 de nov. de 2017

This cource is a path of my passion to enjoy the intelligent thought and being

por Gaurav K

13 de dic. de 2016

Sir Tim Roughgarden teaches very straight forward and easy .I like the course.

por Rajat N K

14 de nov. de 2019

Extremely important course if you are looking to revise your algorithm skills

por Mostafa Z

8 de nov. de 2019

I have really learned a lot and made me explore different topics

Thanks a lot.

por Ramazan U

18 de sep. de 2017

Great course! Beginners should be ready to put in some serious effort though.

por George Z

21 de jul. de 2021

The graph theory part is kind of confusing and might need more explanations.

por Anton B

19 de nov. de 2018

Handwriting is difficult to understand sometimes but the content is awesome.

por Armando J B F

19 de oct. de 2018

Excellent, in-depth course. The use of randomness was indeed 'illuminating'.

por shivaranjani g

16 de jun. de 2021

amazing course.learn lot of things. enjoy problem solving using programming

por Jiaxiao W

2 de mar. de 2019

very clear and organized course. I learned a lot from it. Thank you so much