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Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

Algorithms,

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).
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Rating 4.9 based on 53 ratings
Length 5 weeks
Effort 4 weeks of study, 4-8 hours/week
Starts Oct 12 (last week)
Cost $79
From Stanford University via Coursera
Instructor Tim Roughgarden
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Mathematics
Tags Computer Science Algorithms Math And Logic

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very challenging

Very challenging, but it just shows that you should never give up and keep believing in yourself!

Problems and assignments are quite challenging but doable Very challenging, well presented.

Very challenging, but worthwhile.

Very challenging, but I learnt a lot from the course.

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discussion forums

The discussion forums are very helpful for the assignments.

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more time

Really stretched my brain, and I feel like I could have gotten even more had I spent more time on the theoretical bits.

I highly recommend this course, but people who are about to take this course should be aware that they will probably have to spend a bit more time.

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Rating 4.9 based on 53 ratings
Length 5 weeks
Effort 4 weeks of study, 4-8 hours/week
Starts Oct 12 (last week)
Cost $79
From Stanford University via Coursera
Instructor Tim Roughgarden
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Mathematics
Tags Computer Science Algorithms Math And Logic

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