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
47,208 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(814 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 13 hours
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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There are 4 modules in this course
The Bellman-Ford algorithm; all-pairs shortest paths.
What's included
14 videos4 readings2 assignments
NP-complete problems and exact algorithms for them.
What's included
11 videos2 readings2 assignments
Approximation algorithms for NP-complete problems.
What's included
6 videos1 reading2 assignments
Local search algorithms for NP-complete problems; the wider world of algorithms.
What's included
11 videos3 readings3 assignments
Instructor
Instructor ratings
4.9 (56 ratings)Offered by
Recommended if you're interested in Algorithms
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Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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