A New Class of Improved Convex Underestimators for Twice Continuously Differentiable Constrained NLPs - researchr publication related

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Ioannis G. Akrotirianakis, Christodoulos A. Floudas. A New Class of Improved Convex Underestimators for Twice Continuously Differentiable Constrained NLPs. J. Global Optimization, 30(4):367-390, 2004. [doi]

The following publications are possibly variants of this publication:

Computational Experience with a New Class of Convex Underestimators: Box-constrained NLP ProblemsIoannis G. Akrotirianakis, Christodoulos A. Floudas. jgo, 29(3):249-264, 2004. [doi]

On the functional form of convex underestimators for twice continuously differentiable functionsChristodoulos A. Floudas, Vladik Kreinovich. ol, 1(2):187-192, 2007. [doi]

Convex Underestimation of Twice Continuously Differentiable Functions by Piecewise Quadratic Perturbation: Spline αBB UnderestimatorsClifford A. Meyer, Christodoulos A. Floudas. jgo, 32(2):221-258, 2005. [doi]

Rigorous convex underestimators for general twice-differentiable problemsClaire S. Adjiman, Christodoulos A. Floudas. jgo, 9(1):23-40, 1996. [doi]

Tight convex underestimators for ::::C:::::::2:::-continuous problems: II. multivariate functionsChrysanthos E. Gounaris, Christodoulos A. Floudas. jgo, 42(1):69-89, 2008. [doi]

Tight convex underestimators for ::::C:::::::2:::-continuous problems: I. univariate functionsChrysanthos E. Gounaris, Christodoulos A. Floudas. jgo, 42(1):51-67, 2008. [doi]

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