2010
DOI: 10.1007/978-3-642-14165-2_4
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The Positive Semidefinite Grothendieck Problem with Rank Constraint

Abstract: Given a positive integer n and a positive semidefinite matrix A = (Aij) ∈ R m×m , the positive semidefinite Grothendieck problem with rank-n-constraint (SDPn) iswhere x1, . . . , xm ∈ S n−1 .In this paper we design a randomized polynomial-time approximation algorithm for SDPn achieving an approximation ratio of γ(n) = 2 n Γ ((n + 1)/2) Γ (n/2) 2 = 1 − Θ(1/n).We show that under the assumption of the unique games conjecture the achieved approximation ratio is optimal: There is no polynomial-time algorithm which … Show more

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Cited by 25 publications
(62 citation statements)
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References 30 publications
(40 reference statements)
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“…After the appearance of this work in preprint form, it was shown in [BOFV10b] that for positive semidefinite matrices M, like the ones considered here, the lower bound on K G (∞ → m) given in Theorem 1 is in fact optimal. Note that for general matrices, trivially, we have K G (n → m) ≤ K G (n).…”
Section: Theorem 1 For All M < Nmentioning
confidence: 95%
“…After the appearance of this work in preprint form, it was shown in [BOFV10b] that for positive semidefinite matrices M, like the ones considered here, the lower bound on K G (∞ → m) given in Theorem 1 is in fact optimal. Note that for general matrices, trivially, we have K G (n → m) ≤ K G (n).…”
Section: Theorem 1 For All M < Nmentioning
confidence: 95%
“…Indeed, let T be a compact transitivity group of G. Then a = 1 V and K = R T (K) form a feasible solution of (8) …”
Section: 6mentioning
confidence: 99%
“…Set a = 1 V , so that D a = I, and K = λ −1 Z. Then we have that K respects G and that D a + K 0, so a and K are a feasible solution of (8).…”
Section: 6mentioning
confidence: 99%
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