Uses of Class
neqsim.process.util.fielddevelopment.SensitivityAnalysis.TrialResult

Packages that use SensitivityAnalysis.TrialResult

Package	Description
neqsim.process.util.fielddevelopment	Field Development Planning utilities for NeqSim.

Uses of SensitivityAnalysis.TrialResult in neqsim.process.util.fielddevelopment

Classes in neqsim.process.util.fielddevelopment that implement interfaces with type arguments of type SensitivityAnalysis.TrialResult

Modifier and Type	Class	Description
static final class	SensitivityAnalysis.TrialResult	Single Monte Carlo trial result.

Fields in neqsim.process.util.fielddevelopment with type parameters of type SensitivityAnalysis.TrialResult

Modifier and Type	Field	Description
private final List<SensitivityAnalysis.TrialResult>	SensitivityAnalysis.MonteCarloResult.trials

Methods in neqsim.process.util.fielddevelopment that return SensitivityAnalysis.TrialResult

Modifier and Type	Method	Description
private SensitivityAnalysis.TrialResult	SensitivityAnalysis.runSingleTrial(int trialNum, Map<String,Double> sampled, StreamInterface feedStream, double lowerBound, double upperBound, String rateUnit, ToDoubleFunction<ProductionOptimizer.OptimizationResult> outputMetric)	Runs a single trial (used for parallel execution).

Methods in neqsim.process.util.fielddevelopment that return types with arguments of type SensitivityAnalysis.TrialResult

Modifier and Type	Method	Description
List<SensitivityAnalysis.TrialResult>	SensitivityAnalysis.MonteCarloResult.getTrials()	Gets all trial results.
private List<SensitivityAnalysis.TrialResult>	SensitivityAnalysis.runParallelTrials(StreamInterface feedStream, double lowerBound, double upperBound, String rateUnit, ToDoubleFunction<ProductionOptimizer.OptimizationResult> outputMetric, SensitivityAnalysis.SensitivityConfig config, Random localRng)	Runs trials in parallel.
private List<SensitivityAnalysis.TrialResult>	SensitivityAnalysis.runSequentialTrials(StreamInterface feedStream, double lowerBound, double upperBound, String rateUnit, ToDoubleFunction<ProductionOptimizer.OptimizationResult> outputMetric, SensitivityAnalysis.SensitivityConfig config, Random localRng)	Runs trials sequentially.

Methods in neqsim.process.util.fielddevelopment with parameters of type SensitivityAnalysis.TrialResult

Modifier and Type	Method	Description
int	SensitivityAnalysis.TrialResult.compareTo(SensitivityAnalysis.TrialResult other)

Method parameters in neqsim.process.util.fielddevelopment with type arguments of type SensitivityAnalysis.TrialResult

Modifier and Type	Method	Description
private double	SensitivityAnalysis.MonteCarloResult.getPercentileFromSorted(List<SensitivityAnalysis.TrialResult> sorted, double percentile)

Constructor parameters in neqsim.process.util.fielddevelopment with type arguments of type SensitivityAnalysis.TrialResult

Modifier	Constructor	Description
	MonteCarloResult(List<SensitivityAnalysis.TrialResult> trials, Map<String,Double> tornadoSensitivities, String outputName, String outputUnit)	Creates a Monte Carlo result.