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Nov 16, 2022 at 21:40 history edited Stefan Kohl CC BY-SA 4.0
Simple edit to allow a user to undo an accidental downvote.
Nov 16, 2022 at 8:49 history edited Martin Sleziak CC BY-SA 4.0
http -> https (the question was bumped anyway)
Apr 13, 2017 at 12:58 history edited CommunityBot
replaced http://mathoverflow.net/ with https://mathoverflow.net/
Jan 14, 2014 at 0:39 comment added Narutaka OZAWA David Speyer, thank you for your insight. François G. Dorais, thank you for your clarification.
Jan 14, 2014 at 0:30 comment added David E Speyer Right. One should add that, by Tarski's theorem, it is decidable whether an SDP is solvable but, according to the Handbook of Semidefinite Programming books.google.com/… "Given an SDP ... there is no polynomial time algorithm to decide whether it is feasible or not."
Jan 13, 2014 at 23:56 comment added François G. Dorais @NarutakaOZAWA: SDP will solve the problem to a prescribed accuracy $\varepsilon$. If the output is a positive number less than $\varepsilon$ then the true solution could still be $0$; more accuracy is needed to determine whether the true answer is positive or zero. It's only if the required precision is known in advance that this gives a decision procedure.
Jan 13, 2014 at 23:47 comment added Narutaka OZAWA @François G. Dorais: How does SDP work? First of all, $r\le0$ always solves the equation. When the computer says there's a solution $r>0$, does it really mean that? Or do we need enough margin between $r$ and $0$ to be sure? Anyway, we should be able to verify it working in ${\mathbb Z}[\Gamma]$, shouldn't we?
Jan 13, 2014 at 23:31 comment added François G. Dorais The complexity of SDP depends on the size of the problem and the degree of accuracy desired. The first is correlated to the size of the set $T$ and the second depends on how far the "optimal $r$" is from zero. Is there a way to estimate how big $r$ would be if there is a positive one?
Jan 13, 2014 at 20:47 history edited David E Speyer CC BY-SA 3.0
edited body
Jan 13, 2014 at 20:07 history answered David E Speyer CC BY-SA 3.0