comparison of two convex underestimation methods for quadratic functions
Anders Skjäl and Tapio Westerlund∗, Center of Excellence in Optimization and Systems Engineering, Åbo Akademi University, Biskopsgatan 8, 20500 Åbo, Finland, ∗anders.skjal@abo.fitapio.westerlund@abo.fi
Abstract
In this paper we compare two recently described methods for convex underestimation. The first method is a variant of the nondiagonal αBB methods studied by the authors. The second method depends on algebraic characterizations of positive polynomials. Positive polynomials on a compact semi-algebraic set can be decomposed as polynomial terms containing squares and the defining polynomials of the set. This characterization can be used for describing both the underestimation ...
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