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
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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
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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.
BG
Reviewed on Jul 6, 2018
Excellent course! Bravo to the teacher for the commitment provided in this course. Kind regards.
SA
Reviewed on Mar 15, 2020
A really well-crafted specialization. Has something for everyone from a beginner to an advanced Computer Science student.
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