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Bewertung und Feedback des Lernenden für Shortest Paths Revisited, NP-Complete Problems and What To Do About Them von Stanford University

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764 Bewertungen

Über den Kurs

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)....

Top-Bewertungen

AA

27. Feb. 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.

AS

22. Aug. 2018

This is the most challenging course in this specialization. Assignments as well as test questions require good amount of thinking.

One of the best courses I did on Coursera.

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101 - 103 von 103 Bewertungen für Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

von Thành N K

15. Sep. 2019

so hard

von --

27. Apr. 2021

Sometimes is really hard to understand, I wish more examples and visualization rather than straightforward speech.

von Xiao Z

17. Aug. 2019

Can be expanded more. Some of the quizzes are too hard.