Data di Pubblicazione:
2022
Abstract:
We study Mixed-Integer Non-Linear Programming with piecewise-
convex functions and compare two different formulations: the incre-
mental and the multiple-choice model. We show with computational re-
sults that the continuous relaxation of the two formulations is equiv-
alent for two pieces but not for four.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Global optimization; Piecewise-convex functions
Elenco autori:
Frangioni, Antonio; Gentile, Claudio
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