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Rigorous convex underestimators for general twice-differentiable problems

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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A Collection of Test Problems for Constrained Global Optimization Algorithms
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Differential Equations
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New Formulations and Branching Strategies for the GOP Algorithm
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Computational Results for an Efficient Implementation of the GOP Algorithm and Its Variants
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Primal-relaxed dual global optimization approach
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Global minimum potential energy conformations of small molecules
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Finding all solutions of nonlinearly constrained systems of equations
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A global optimization algorithm (GOP) for certain classes of nonconvex NLPs—I. Theory
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A global optimization method, αBB, for process design
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Interval Methods for Systems of Equations
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Global Optimization Using Interval Analysis.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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