Global Optimization with Polynomials and the Problem of Moments
SIAM Journal on Optimization
Sum of Squares Approximation of Polynomials, Nonnegative on a Real Algebraic Set
SIAM Journal on Optimization
A Sum of Squares Approximation of Nonnegative Polynomials
SIAM Journal on Optimization
Matrix Sum-of-Squares Relaxations for Robust Semi-Definite Programs
Mathematical Programming: Series A and B
A semidefinite programming approach to the generalized problem of moments
Mathematical Programming: Series A and B
Automatica (Journal of IFAC)
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This paper addresses the positivity check of polynomials in which the region of indeterminates is given as a hyper-rectangle. A new tractable quadratically parameter-dependent condition is proposed using Parameter-Dependent Slack Variables (PDSVs) which are up to second-order with respect to the indeterminates. It is proved that our derived condition always holds if the condition via Sum-Of-Squares (SOS) approach holds. In addition, as the polynomials defining the region of the indeterminates always satisfy constraint qualification, our proposed method is proved to be a sufficient condition which asymptotically becomes a necessary and sufficient condition for our addressed problem with increase of the sizes of PDSVs.