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
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Shortest Paths Revisited, NP-Complete Problems and What To Do About Them
This course is part of Algorithms Specialization
Instructor: Tim Roughgarden
49,253 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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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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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.
JE
Reviewed on Dec 27, 2019
I am very confident in the skills I learned. I have read some books on algorithms but this course makes the application so clear regardless of your programing language.
AS
Reviewed on Aug 22, 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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