2024
DOI: 10.4028/p-fmzql0
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Convex Relaxation for Solving Polynomial Programs through Quadratization Technique

Lasker P. Sinaga,
Tulus Tulus,
Elvina Herawati
et al.

Abstract: In this paper, we study convex quadratic relaxation in polynomial programming. The goal is to solve polynomial programs through quadratic reformulation with the factorization method. The quadratization of monomials of degree more than two is carried out by replacing each pair of factors of the monomial with auxiliary variables. In this paper, each pair of factors of a monomial will be considered. The quadratic program obtained is convexified by using eigenvalues. As a result, the quadratic reformulation involv… Show more

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