11. Dynamic Programming: All-Pairs Shortest Paths

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MIT 6.046J Design and Analysis of Algorithms, Spring 2015
Instructor: Erik Demaine

In this lecture, Professor Demaine covers different algorithmic solutions for the All-Pairs Shortest Paths problem.

License: Creative Commons BY-NC-SA

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24:18 - DP I
35:42 - Matrix Multiplication
50:00 - Floyd Warshall (DP II)

NytronX

I got pretty lost in my parallel algorithms class at university, where we had floyds and johnsons algorithm explained very shortly and in a confusing way. This video however is an amazing explanation which I understood the first time going through it. Thank you very much for sharing!

movingheadmau

Why am I paying for college when I all do is watch this guy for my algo class

Zengggg

Even if it's not optimal, that matrix multiplication algorithm is beautiful.

johnsports_iii

He is a genius and also looks like a genius

biswamohandwari

OMG, the definition of this video is damn good

划船不用桨

wish they had edx versions of these courses

jamesperry

DMANN my OCD on his sleeve is not letting me to focus

MohammadrezaMemarian

Does anyone know in which lesson does MIT professors lecture on Fibonacci Heap?
Plz and thanks a

yhlin

wouldn't the most optimal for an unweighted graph be A*?

donotreportmebro

Now that EndSems are at door, I feel so regretful for attending DAA lectures at college, I should have learnt everything from here in more depth, accuracy and easier way, Sadlife

vinayakf

The camera taking the floor level shots has a nice quality to it.

YouBanz

Bro I've never seen implementation of MinPlus Algorithm... is that even possible?

theencryptedpartition

29:10 no please keep it d it is more understandable

YasserSinjab

SO wtf do you do when you have negative weight cycles

getreal

Incomprehensible, especially towards the end.

Hadoren

explanation is not helpful, need more visuals to explain floyd warshall. :/

malharjajoo

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