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).
Shortest Paths Revisited, NP-Complete Problems and What To Do About Them
Shortest Paths Revisited, NP-Complete Problems and What To Do About Them
This course is part of Algorithms Specialization
Instructor: Tim Roughgarden
49,291 already enrolled
Gain insight into a topic and learn the fundamentals.
829 reviews
Intermediate level
Some related experience required
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
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Assessments
9 assignments
Taught in English
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This course is part of the Algorithms Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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Showing 3 of 829
DZ
Reviewed on Feb 15, 2021
Really great and challenging course. Gives a strong foundation in np-complete problems and the approximate methods for making progress on these challenging problems.
TL
Reviewed on Mar 4, 2018
Thanks a lot. It is time consuming, need a lot of thinking and practising to finish the homework. And it is worth taking. After this, we can go deep into cs.
MJ
Reviewed on Nov 30, 2019
Great course in general, got the chance to dive a little deeper into the world of computer science.
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