Some NP-complete problems in quadratic and nonlinear programming
Mathematical Programming: Series A and B
Some optimal inapproximability results
Journal of the ACM (JACM)
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Semi-supervised multi-label classification: a simultaneous large-margin, subspace learning approach
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Most Tensor Problems Are NP-Hard
Journal of the ACM (JACM)
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We show that, for any rational $p\in[1,\infty)$ except $p=1,2$, unless $P=NP$, there is no polynomial time algorithm which approximates the matrix $p$-norm to arbitrary relative precision. We also show that, for any rational $p\in[1,\infty)$ including $p=1,2$, unless $P=NP$, there is no polynomial-time algorithm which approximates the $\infty,p$ mixed norm to some fixed relative precision.