All Classes and Interfaces

Class	Description
IOptQuestEvaluator	Defines the callback that evaluates each solution in a managed run, such as OptQuestModel.Optimize(int, IOptQuestEvaluator).
IOptQuestMonitor	Defines a callback that the engine calls in a managed run after each solution or replication has completed evaluation.
OptQuestModel	The main class that defines an OptQuest optimization model.
OptQuestModel.Confidence	Constants used for confidence-interval based replication stopping rules.
OptQuestModel.SampleMethod	Constants for sampling methods used with adaptive sampling and surrogate modeling.
OptQuestModel.SampleVariogram	Names of variogram models used when building the surrogate (Kriging) model for adaptive sampling.
OptQuestModel.Statistic	Constants for statistics that can be computed over replications of an output or objective in stochastic simulations.
OptQuestModel.TerminationReason	Possible reasons why an optimization terminated.
OptQuestModelChannel
OptQuestSolution	A solution of an OptQuestModel.