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S
- Sample(int) - Method in class com.opttek.optquest.OptQuestModel
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Starts an adaptive sampling run and stops when nsol solutions have been evaluated.
- Sample(int, int) - Method in class com.opttek.optquest.OptQuestModel
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Starts a concurrent adaptive sampling run using npar parallel evaluators and stops when nsol solutions have been evaluated.
- Sample(int, int, IOptQuestEvaluator) - Method in class com.opttek.optquest.OptQuestModel
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Starts a concurrent adaptive sampling run using npar parallel evaluators.
- Sample(int, int, IOptQuestEvaluator, IOptQuestMonitor) - Method in class com.opttek.optquest.OptQuestModel
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Starts a concurrent adaptive sampling run using npar parallel evaluators.
- Sample(int, IOptQuestEvaluator) - Method in class com.opttek.optquest.OptQuestModel
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Starts an adaptive sampling run and stops when nsol solutions have been evaluated.
- Sample(int, IOptQuestEvaluator, IOptQuestMonitor) - Method in class com.opttek.optquest.OptQuestModel
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Starts an adaptive sampling run and stops when nsol solutions have been evaluated.
- Sample(OptQuestModelChannel, int) - Method in class com.opttek.optquest.OptQuestModel
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Starts an asynchronous adaptive sampling run.
- Sample(OptQuestModelChannel, int, IOptQuestEvaluator) - Method in class com.opttek.optquest.OptQuestModel
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Starts an asynchronous adaptive sampling run with a custom evaluator.
- Sample(OptQuestModelChannel, int, IOptQuestEvaluator, IOptQuestMonitor) - Method in class com.opttek.optquest.OptQuestModel
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Starts an asynchronous adaptive sampling run with a custom evaluator and monitor.
- SampleMethod() - Constructor for class com.opttek.optquest.OptQuestModel.SampleMethod
- SampleVariogram() - Constructor for class com.opttek.optquest.OptQuestModel.SampleVariogram
- Sech - Static variable in class com.opttek.optquest.OptQuestModel.SampleVariogram
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Hyperbolic secant variogram model.
- SetLicense(String) - Method in class com.opttek.optquest.OptQuestModel
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Sets the license ID that OptTek Systems, Inc.
- SetObjectiveConfidence(String, int, int, double) - Method in class com.opttek.optquest.OptQuestModel
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Sets the values used for replication confidence testing on the specified objective.
- SetObjectiveGoal(String, double, double) - Method in class com.opttek.optquest.OptQuestModel
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Sets a target range, from min to max inclusive, for an objective in a model with two or more objectives.
- SetObjectiveStatistic(String, int) - Method in class com.opttek.optquest.OptQuestModel
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Defines the statistic for the replications of an objective.
- SetObjectiveStatistic(String, int, double) - Method in class com.opttek.optquest.OptQuestModel
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Defines the percentile statistic for the replications of an objective.
- SetOutputStatistic(String, int) - Method in class com.opttek.optquest.OptQuestModel
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Defines the statistic for the replications of an output variable.
- SetOutputStatistic(String, int, double) - Method in class com.opttek.optquest.OptQuestModel
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Defines the percentile statistic for the replications of an output variable.
- SetParallelHint(int) - Method in class com.opttek.optquest.OptQuestModel
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Sets a hint for the number of parallel evaluations that are expected to happen.
- SetRandomSeed(int) - Method in class com.opttek.optquest.OptQuestModel
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Sets the random seed.
- SetReplications(int) - Method in class com.opttek.optquest.OptQuestModel
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Sets the number of fixed replications to be run for each solution.
- SetReplications(int, int) - Method in class com.opttek.optquest.OptQuestModel
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Sets the number of variable replications to be run for each solution.
- SetSampleMethod(int) - Method in class com.opttek.optquest.OptQuestModel
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Sets the sample method to be used when using sample metrics.
- SetSampleRDSBeta(String, int, double, double) - Method in class com.opttek.optquest.OptQuestModel
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Sets the bins to use if response distribution sampling is enabled, from a Beta distribution.
- SetSampleRDSCauchy(String, int, double, double) - Method in class com.opttek.optquest.OptQuestModel
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Sets the bins to use if response distribution sampling is enabled, from a Cauchy distribution.
- SetSampleRDSChiSquare(String, int, double) - Method in class com.opttek.optquest.OptQuestModel
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Sets the bins to use if response distribution sampling is enabled, from a Chi-square distribution.
- SetSampleRDSDiscrete(String, double[]) - Method in class com.opttek.optquest.OptQuestModel
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Sets the bins to use if response distribution sampling is enabled, from a list of bin edges.
- SetSampleRDSExponential(String, int, double) - Method in class com.opttek.optquest.OptQuestModel
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Sets the bins to use if response distribution sampling is enabled, from an exponential distribution.
- SetSampleRDSGamma(String, int, double, double) - Method in class com.opttek.optquest.OptQuestModel
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Sets the bins to use if response distribution sampling is enabled, from a Gamma distribution.
- SetSampleRDSLogNormal(String, int, double, double) - Method in class com.opttek.optquest.OptQuestModel
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Sets the bins to use if response distribution sampling is enabled, from a log-normal distribution.
- SetSampleRDSNormal(String, int, double, double) - Method in class com.opttek.optquest.OptQuestModel
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Sets the bins to use if response distribution sampling is enabled, from a normal distribution.
- SetSampleRDSParams(String, String, double[]) - Method in class com.opttek.optquest.OptQuestModel
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Sets the bins to use if response distribution sampling is enabled, from a named distribution.
- SetSampleRDSPareto(String, int, double, double, double) - Method in class com.opttek.optquest.OptQuestModel
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Sets the bins to use if response distribution sampling is enabled, from a Pareto distribution.
- SetSampleRDSPoisson(String, int, double) - Method in class com.opttek.optquest.OptQuestModel
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Sets the bins to use if response distribution sampling is enabled, from a Poisson distribution.
- SetSampleRDST(String, int, double) - Method in class com.opttek.optquest.OptQuestModel
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Sets the bins to use if response distribution sampling is enabled, from a Student's t distribution.
- SetSampleRDSUniform(String, int, double, double) - Method in class com.opttek.optquest.OptQuestModel
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Sets the bins to use if response distribution sampling is enabled, from a uniform distribution.
- SetSampleRDSWeibull(String, int, double, double) - Method in class com.opttek.optquest.OptQuestModel
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Sets the bins to use if response distribution sampling is enabled, from a Weibull distribution.
- SetSampleVariogram(String) - Method in class com.opttek.optquest.OptQuestModel
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Sets the sample variogram to be used when building the surrogate model.
- SetSerialReplications() - Method in class com.opttek.optquest.OptQuestModel
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Runs the replications of each solution serially.
- SetStopCycles(int) - Method in class com.opttek.optquest.OptQuestModel
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Stops the optimization after
cyclessearch cycles. - SetStopImprovement(double, int) - Method in class com.opttek.optquest.OptQuestModel
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Stops the optimization when
iterationsconsecutive iterations pass without a cumulative improvement of more than the fractionimprovement. - SetStopTime(int) - Method in class com.opttek.optquest.OptQuestModel
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Sets the number of seconds the optimization should run before stopping.
- SetTerminationReason(int) - Method in class com.opttek.optquest.OptQuestModel
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Sets the termination reason.
- SetValue(String, double) - Method in class com.opttek.optquest.OptQuestSolution
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Sets the value of a named input or output variable in an OptQuestSolution.
- solutions - Variable in class com.opttek.optquest.OptQuestModel
- Spherical - Static variable in class com.opttek.optquest.OptQuestModel.SampleVariogram
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Spherical variogram model.
- Statistic() - Constructor for class com.opttek.optquest.OptQuestModel.Statistic
- StdDev - Static variable in class com.opttek.optquest.OptQuestModel.Statistic
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Standard deviation of the replications.
- Stochastic - Static variable in class com.opttek.optquest.OptQuestModel.SampleMethod
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Enable stochastic sampling.
- StochasticGradient - Static variable in class com.opttek.optquest.OptQuestModel.SampleMethod
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Stochastic, asynchronous gradient sampling.
- StochasticMax - Static variable in class com.opttek.optquest.OptQuestModel.SampleMethod
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Stochastic, asynchronous maximum-value sampling.
- StochasticMin - Static variable in class com.opttek.optquest.OptQuestModel.SampleMethod
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Stochastic, asynchronous minimum-value sampling.
- StochasticRDS - Static variable in class com.opttek.optquest.OptQuestModel.SampleMethod
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Stochastic, asynchronous Response Distribution Sampling.
- StochasticUniform - Static variable in class com.opttek.optquest.OptQuestModel.SampleMethod
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Stochastic, asynchronous uniform sampling.
- StochasticVariance - Static variable in class com.opttek.optquest.OptQuestModel.SampleMethod
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Stochastic, asynchronous variance-based sampling.
- StochasticZero - Static variable in class com.opttek.optquest.OptQuestModel.SampleMethod
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Stochastic, asynchronous zero sampling.
- StopOnSuccessfulMILP() - Method in class com.opttek.optquest.OptQuestModel
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Sets a flag so that the optimization stops as soon as it finds an optimal solution in the case that the optimization is a mixed integer linear program (MILP).
- Submit() - Method in class com.opttek.optquest.OptQuestSolution
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Submits an evaluated solution back to the Optimization Engine.
- SuggestedSolutionsOnly() - Method in class com.opttek.optquest.OptQuestModel
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Restricts the model to the solutions you supply.
- Sum - Static variable in class com.opttek.optquest.OptQuestModel.Statistic
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Sum of the replications.
All Classes and Interfaces|All Packages|Constant Field Values