Live data from Hacker News

Researchers achieve ‘absurdly fast’ algorithm for network flow

quantamagazine.org

11–20 of 80 posts

Re: Researchers achieve ‘absurdly fast’ algorithm for network flow

#11

Not a comment in regard to this article in particular, but I love Quanta Magazine. Just the right amount of detail for a non-scientist and consistently fascinating subject matter.

I'd agree with you ~1 year ago but I think a lot of their articles now tend to water-down lots of complex subjects in rigorous math papers. Still remains one of my favorite websites.

Re: Researchers achieve ‘absurdly fast’ algorithm for network flow

#12

> Maximum Flow and Minimum-Cost Flow in Almost-Linear Time > We give an algorithm that computes exact maximum flows and minimum-cost flows on directed graphs with m edges and polynomially bounded integral demands, costs, and capacities in m^(1+o(1)) time. Our algorithm builds the flow through a sequence of m^(1+o(1)) approximate undirected minimum-ratio cycles, each of which is computed and processed in amortized m^o…

[deleted]

Re: Researchers achieve ‘absurdly fast’ algorithm for network flow

#16
I've been wondering if there is a connection between Lagrangian Mechanics/Calculus of Variations and Dijkstra's shortest path algorithm.

https://profoundphysics.com/lagrangian-mechanics-for-beginne... How you would translate from the discrete, relational approach to the continuous, analytic one?

Re: Researchers achieve ‘absurdly fast’ algorithm for network flow

#17

I've been wondering if there is a connection between Lagrangian Mechanics/Calculus of Variations and Dijkstra's shortest path algorithm. https://profoundphysics.com/lagrangian-mechanics-for-beginne... How you would translate from the discrete, relational approach to the continuous, analytic one?

Susskind seems to think that Kolmogorov complexity is deeply related to quantum gravity: https://m.youtube.com/watch?v=6OXdhV5BOcY

Re: Researchers achieve ‘absurdly fast’ algorithm for network flow

#18

I've been wondering if there is a connection between Lagrangian Mechanics/Calculus of Variations and Dijkstra's shortest path algorithm. https://profoundphysics.com/lagrangian-mechanics-for-beginne... How you would translate from the discrete, relational approach to the continuous, analytic one?

From a layperson perspective maybe something like Fermat's Principle is what you are curious about. It also seems one can usually encode/send combinatorial problems into some other space or representation and decode them back into the discrete world. Generating functions and such.

Re: Researchers achieve ‘absurdly fast’ algorithm for network flow

#19
post #10

Coming to a coding interview near you!

Yes, only those who can intuitively discover this algorithm are fit to write HTML and JS at this company.

I skimmed the paper, and it makes more sense than a lot of SPAs.

Re: Researchers achieve ‘absurdly fast’ algorithm for network flow

#20

> Maximum Flow and Minimum-Cost Flow in Almost-Linear Time > We give an algorithm that computes exact maximum flows and minimum-cost flows on directed graphs with m edges and polynomially bounded integral demands, costs, and capacities in m^(1+o(1)) time. Our algorithm builds the flow through a sequence of m^(1+o(1)) approximate undirected minimum-ratio cycles, each of which is computed and processed in amortized m^o…

I've been out of school for a while, what does m^(1+o(1)) mean?

Isn't any constant trivially in "o(1)"? So m^1000 is in this class?

Or are they using it informally to mean "a very small number"?

Post reply on HN