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
Sponsored by Coursera Learning Team
47,792 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(817 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 13 hours
Learn at your own pace
94%
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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 (57 ratings)Offered by
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4.8
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TL
5
Reviewed on Mar 5, 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.
JM
5
Reviewed on May 26, 2020
Challenging, but does a great job of presenting some important concepts at a high-level and showing where to continue learning.
AS
5
Reviewed on Aug 23, 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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