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Shortest Paths Revisited, NP-Complete Problems and What To Do About Them, Стэнфордский университет

Оценки: 436
Рецензии: 56

Об этом курсе

The primary topics in this part of the specialization are: shortest paths (Bellman-Ford, Floyd-Warshall, Johnson), NP-completeness and what it means for the algorithm designer, and strategies for coping with computationally intractable problems (analysis of heuristics, local search)....

Лучшие рецензии

автор: AA

Feb 28, 2017

This challenging course improves understanding of algorithms and is intellectually stimulating. I learnt the theory behind algorithms and how they are applied to solve real world problems.

автор: AS

Aug 23, 2018

This is the most challenging course in this specialization. Assignments as well as test questions require good amount of thinking.\n\nOne of the best courses I did on Coursera.

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Рецензии: 54

автор: Yuanzhan Wang

May 19, 2019

Great course. The videos are very instructive.

автор: Yinchu Dong

Mar 30, 2019

Well... I cannot believe I did it!!! Love this course!

автор: Saurav Mehta

Mar 23, 2019

good course give deep insight of algorithms esp knapsack, nearest neighbor algorithm

автор: Aleksandar

Mar 05, 2019

Significantly more challenging when compared to the courses 1 to 3. ) I highly recommend this course, but people who are about to take this course should be aware that they will probably have to spend a bit more time.

автор: Astefanoaie Nicolae Stelian

Feb 26, 2019

Nice course, a lot of information in short time. I think is need more time than 4 weeks to finish this course.

автор: Charles Havez

Feb 19, 2019

The examinations are sometimes very challenging, but at least you learn a lot of things !

Completing this course will definitely make you improve a lot your skills in programming.

автор: Jemaal Knox

Feb 17, 2019

Tim has done a real fantastic job distilling the conceptual and mathematical proofs of some of the most prolific computational algorithms that drive our technological society today. Even though I'm a seasoned programmer, I am now more comfortable discussing algorithmic analysis and design far beyond what I learned during my undergrad studies.

автор: Dilyan Marinov

Feb 06, 2019

Very challenging, but worthwhile.

автор: Anton Berezin

Jan 19, 2019

Tim, thank you very much!

автор: bangchuan liu

Jan 07, 2019

this course is harder than other 3 courses, but it is very worth to take it.