Jump to content

Talk:Polynomial-time approximation scheme

Page contents not supported in other languages.
From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by Dricherby (talk | contribs) at 15:06, 28 July 2009 (Clarification of deleted statement.). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
WikiProject iconComputer science Unassessed
WikiProject iconThis article is within the scope of WikiProject Computer science, a collaborative effort to improve the coverage of Computer science related articles on Wikipedia. If you would like to participate, please visit the project page, where you can join the discussion and see a list of open tasks.
???This article has not yet received a rating on Wikipedia's content assessment scale.
???This article has not yet received a rating on the project's importance scale.
Things you can help WikiProject Computer science with:

Deleted statement

I deleted the following statement from the article:

"An important class of problems which have an FPRAS, but were thought until recently not to have a PTAS, is the class of #P-complete counting problems.[1]"

I haven't read the reference, but it is definitely not true that all #P-complete problems have an FPRAS. This would, for instance, imply RP = NP. --Robin (talk) 13:24, 8 July 2009 (UTC)[reply]

Deleting that was the right thing to do but I just wanted to point out that we don't *know* that RP and NP are different so it's not correct to say that the statement you deleted is "definitely not true". It's just that most theoretical computer scientists (weasel, weasel) believe that NP and RP are *unlikely* to be the same, which means that it's *unlikely* that every #P-complete problem has an FPRAS. (Also, I've not read the cited article, either, but its title talks about FPTASes, not FPRASes.) Dricherby (talk) 15:06, 28 July 2009 (UTC)[reply]
  1. ^ Halman, Klabjan, Li, Orlin, Simchi-Levi, Fully polynomial time approximation schemes for stochastic dynamic programs, Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms, 700–709, 2008.