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
49,437 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
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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.
SA
Reviewed on Mar 15, 2020
A really well-crafted specialization. Has something for everyone from a beginner to an advanced Computer Science student.
KA
Reviewed on Dec 13, 2019
Great course, great explanation from instructor. I loved how Tim Roughgarden explains algorithms. Course Load was just right for me. Great experience!
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