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Global optimization addresses the computation and characterization of global minima and maxima of a nonconvex objective function subject to a nonconvex set of equality and inequality constraints. There are five primary objectives in deterministic global optimization: (1) determine an epsilonglobal minimum with theoretical guarantee; (2) calculate valid and tight lower and upper bounds on the global minimum; (3) identify an ensemble of good quality local solutions close to the global minimum;doi:10.1002/aic.10620 fatcat:4hgnhia5lnd5zpraheedpgtbpm