An approximation bound analysis for Lasserre's relaxation in multivariate polynomial optimization
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Publication:384182
DOI10.1007/s40305-013-0017-8zbMath1277.90157OpenAlexW2017436952MaRDI QIDQ384182
Publication date: 27 November 2013
Published in: Journal of the Operations Research Society of China (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s40305-013-0017-8
Semidefinite programming (90C22) Abstract computational complexity for mathematical programming problems (90C60)
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Cites Work
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- On the complexity of Putinar's Positivstellensatz
- Quadratic programming with one negative eigenvalue is NP-hard
- Semidefinite programming relaxations for semialgebraic problems
- Estimating \(L^\infty\) norms by \(L^{2k}\) norms for functions on orbits.
- Minimizing polynomials via sum of squares over the gradient ideal
- Global Optimization with Polynomials and the Problem of Moments
- Handbook of semidefinite programming. Theory, algorithms, and applications