Capacity Scaling | Network Flow | Graph Theory
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- Опубліковано 9 вер 2024
- Explanation video of the capacity scaling heuristic on flow networks
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10 mins here >> 3 hr lecture from a university professor. Great work and thank you
5 min at times 2 speed
1 min at 10 x
Thank you! I suppose cannot be explained better!
The intro music made me feel like I was in a WiiSports
but great vid!
Thank you~! your good explanations with good examples are really helpful~!
Thank you so much! This video is super concise and it is nicely explained!
The video is way underrated
Thank you so much!
makes it look so simple
Thanks, saved me
Thank you
shouldn't we select our first delta value based on only edges that go out of S and not the whole graph as you told? If the edge between 2 and T has a capacity of 16, then delta would be 16 and hence there is no edge coming out of S that has remaining capacity greater than equal to 16
Yup, I think that would also work!
i love u
If there are two edges with capacity >= delta, do we take the bigger one?
How do u remember these algorithms and keep in mind..
I always implement them but keep forgetting them and when i go back i just can't remember basic algos also.
I am currently junior undergraduate student and find it very difficult.
Please help me out.
hytwoxy Persistence is the key.☺️
Hi William.
This is truly an awesome series which I'm super thankful for!
A question: In this video at around (ua-cam.com/video/1ewLrXUz4kk/v-deo.html) you and the slide says that we continue while Delta > 0, but as we continue to divide Delta by 2 the value would never become 0 or less.
Was the intention to say less than 1 or am I missing something?
technically it means flooring(delta/2) because it will be an integer and fractional integer values round up.
1/2 = 0 in euclidean division
Yes, the variation that my prof taught was >= 1
But also, an inherent assumption for Ford-Fulkerson is that all capacities MUST be integers.
I love you woman