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Back to Divide and Conquer, Sorting and Searching, and Randomized Algorithms

Learner Reviews & Feedback for Divide and Conquer, Sorting and Searching, and Randomized Algorithms by Stanford University

4.8
stars
5,273 ratings

About the Course

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)....

Top reviews

KS

Sep 14, 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

May 27, 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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776 - 800 of 1,008 Reviews for Divide and Conquer, Sorting and Searching, and Randomized Algorithms

By Shiv K

Jul 9, 2017

Great course

By Anton L

Mar 12, 2021

A good one.

By charchil g

May 25, 2020

Nice Course

By 121810310045 G Y L N V

Oct 26, 2019

GOOD COURSE

By 袁宇颖

Oct 5, 2019

pretty cool

By Formula E

Apr 8, 2018

awesome/...

By HIMANSHU T

Mar 4, 2018

Good Course

By Jianghua F

Sep 15, 2017

NICE COURSE

By Sergei K

Sep 10, 2017

Awesome!!!!

By Rambabu Y

Dec 31, 2016

Very Useful

By Ahmad D

Nov 6, 2020

🔥🔥🔥🔥🔥

By 雷京颢

Feb 28, 2018

brilliant!

By Chris G

Nov 1, 2017

Fantastic.

By Mingzhe H

Sep 25, 2017

Very good.

By Marcin G

Sep 24, 2017

Excellent!

By Ziyan H

Sep 2, 2017

excellent!

By SAI K

Aug 8, 2017

IT'S GREAT

By YangMiao

Dec 4, 2016

Cool class

By orgeldinger

Dec 17, 2024

excellent

By Tobias W

Jan 3, 2022

Top notch

By shri h s

Nov 3, 2021

Very good

By VUTUKURI S J K C S - 2 B

Apr 5, 2021

Very good

By Akash K

Jan 9, 2021

It's good

By Akshat C

Apr 4, 2020

LOVED IT!

By Mohini A

Feb 19, 2019

excellent