A B C D E F G H I L M N O P Q R S T U V W X Z

S

ScalarDifferentiableFunction - Interface in function

Provides methods for functions that have a derivative.

ScalarFunction - Interface in function

This is the basic interface that all objectives, constraints, approximate models, and so on, must implement.

scaleBy(double) - Method in class util.Hypercube

Scales this Hypercube by the given factor.

scaleBy(double[]) - Method in class util.Hypercube

Scales this Hypercube by the factors in the given array, each factor corresponding to one dimension.

scaleBy(DoubleMatrix1D) - Method in class util.Hypercube

Scales this Hypercube by the given vector of factors, each factor corresponding to one dimension.

scaledImprovement - Variable in class diviner.ImprovementDiviner

SECorrelationFunction - Class in model

Squared exponential correlation function.

SECorrelationFunction() - Constructor for class model.SECorrelationFunction

setApproxModel(ApproxModel) - Method in class diviner.BasicMultiObjectiveDiviner

setApproxModel(ApproxModel) - Method in interface diviner.MultiObjectiveDiviner

The surrogate model to be used.

setApproxModel(ApproxModel) - Method in class iterator.MultiPointRiskPerfOptimizer

Sets the approxModel.

setApproxModel(ApproxModel) - Method in class model.ApproxModelToVectorFunction

Sets the approxModel.

setApproxModels(ArrayList<ApproxModel>) - Method in class iterator.TwoStageAlgoBuilder

Sets the list of approximation models.

setApproxModels(ArrayList<ApproxModel>) - Method in class iterator.TwoStageRiskPerfAlgoBuilder

Sets the list of approximation models.

setArgList(String) - Method in class util.CommandLineRunner

Sets the argList.

setAuxiliaryOptimizer(V) - Method in class iterator.TwoStageOptimizer

Sets the auxiliary optimizer.

setAuxOptimizer(W) - Method in class iterator.TwoStageAlgoBuilder

Sets the auxiliary optimizer.

setAuxOptimizer(W) - Method in class iterator.TwoStageRiskPerfAlgoBuilder

Sets the auxiliary optimizer.

setAuxProblem(BoundConstrainedProblem) - Method in class iterator.TwoStageAlgoBuilder

Sets the auxiliary optimization problem.

setAuxProblem(MultiObjectiveProblem) - Method in class iterator.TwoStageRiskPerfAlgoBuilder

Sets the auxiliary optimization problem.

setBlocksize(int) - Method in class data.DataBlock

Sets the block size.

setBounds(Hypercube) - Method in class distribution.Uniform

Sets the bounds of this distribution.

setBounds(Hypercube) - Method in class diviner.BasicMultiObjectiveDiviner

setBounds(Hypercube) - Method in class diviner.MultiMetricDiviner

setBounds(Hypercube) - Method in interface function.VariableBounds

Sets the bounds for this ScalarFunction.

setBounds(Hypercube) - Method in class function.VariableDomainScalarFunction

setBounds(Hypercube) - Method in class function.VectorFunctionBuilder

setBounds(Hypercube) - Method in class function.WaveDragAxisymmetric.AreaRule

setBounds(Hypercube) - Method in class function.WaveDragAxisymmetric.CART3D

setBounds(Hypercube) - Method in class function.WaveDragAxisymmetric.Panair

setBounds(Hypercube) - Method in class model.GPRegression

setBounds(Hypercube) - Method in class problem.BasicBoundConstrainedProblem

setBounds(Hypercube) - Method in interface problem.BoundConstrainedProblem

Sets the bounds for this problem.

setCalibrationInterval(int) - Method in class iterator.TwoStageAlgoBuilder

setCalibrationInterval(int) - Method in class iterator.TwoStageRiskPerfAlgoBuilder

setCalibrationThreshold(double) - Method in class model.GPRegression

Sets the calibrationThreshold.

setCheapConstraints(VectorFunction) - Method in class model.PenaltyFunctionModel

setClic(double, double, double, String) - Method in class util.Cart3DRunner

Modifies the given clic control file to set angle of attack, reference area and reference length for CliC.

setClic(double, double, double) - Method in class util.Cart3DRunner

Modifies the default CLiC input control file clic.cntl.

setClientServerMode(boolean) - Method in class caffeinterface.CaffeToVectorFunction

Sets the clientServerMode.

setComponent(int, MultivariateDistribution) - Method in class distribution.BasicMultivariateMixture

setComponent(int, MultivariateDistribution) - Method in interface distribution.MultivariateMixture

Sets the desired component of the mixing p.m.f.

setComponents(ArrayList<MultivariateDistribution>) - Method in class distribution.BasicMultivariateMixture

setComponents(ArrayList<MultivariateDistribution>) - Method in interface distribution.MultivariateMixture

Sets the list of components.

setComputeVarName(String) - Method in class caffeinterface.CaffeToScalarFunction

Sets the name of the compute-result variable

setConsistencyThreshold(double) - Method in class model.GPRegression

Sets the consistency threshold.

setConstraintModels(ArrayList<ApproxModel>) - Method in class diviner.BasicInequalityConstrainedDiviner

setConstraintModels(ArrayList<ApproxModel>) - Method in interface diviner.InequalityConstrainedDiviner

Sets the list of constraint models.

setConstraintModels(ArrayList<ApproxModel>) - Method in class model.PenaltyFunctionModel

setConstraintTargets(DoubleMatrix1D) - Method in class model.PenaltyFunctionModel

Sets the constraintTargets.

setCorrelationFunctionType(BasicCorrelationFunction.TYPE) - Method in class model.GPRegression

Sets the correlation function type.

setCovariance(DoubleMatrix2D) - Method in class distribution.MultivariateNormal

Sets the covariance of this distribution.

setDataHandler(OptimizationDataHandler) - Method in class iterator.AbstractOptimizer

Sets the data handler for this problem.

setDeltaFraction(double) - Method in class iterator.TwoStageRiskPerfOptimizer

Sets the deltaFraction.

setDifferenceGP(GPRegression) - Method in class model.BasicTwoFidelityModel

Sets the difference-modeling GP.

setDiviner(V) - Method in class iterator.TwoStageAlgoBuilder

Sets the diviner.

setDiviner(V) - Method in class iterator.TwoStageRiskPerfAlgoBuilder

Sets the diviner.

setDiviners(ArrayList<ImprovementDiviner>) - Method in class diviner.MultiMetricDiviner

Sets the diviners.

setErrAmplitude(double) - Method in class function.Hartman3LoFi

setErrAmplitude(double) - Method in class function.Hartman6LoFi

Sets the magnitude of the error sinusoid.

setErrAmplitude(double) - Method in class function.WoodsLoFi

setExpandFactor(double) - Method in class iterator.ISIS

Sets the expand factor.

setExtrapolationFactor(double) - Method in class iterator.BasicRealEncodedGA

Sets the extrapolation factor.

setFirstOutputIndex(int) - Method in class data.MultiobjectiveComparator

Sets the firstOutputIndex.

setFunEvalCount(int) - Method in class iterator.AbstractOptimizer

Sets the number of function evaluations.

setFunEvalCount(int) - Method in class iterator.TwoStageAlgoBuilder

setFunEvalCount(int) - Method in class iterator.TwoStageRiskPerfAlgoBuilder

setInfillSampleSize(int) - Method in class iterator.MultiPointRiskPerfOptimizer

Sets the infillSampleSize.

setInitialSampleCount(int) - Method in class iterator.TwoStageOptimizer

Sets the number of initial samples.

setInitialSamples(DataBlock) - Method in class iterator.AbstractPopulationOptimizer

setInitialSamples(DoubleMatrix2D) - Method in class iterator.AbstractPopulationOptimizer

setInitialSamples(DoubleMatrix2D, DoubleMatrix2D) - Method in class iterator.AbstractPopulationOptimizer

setInitialSamples(DataBlock) - Method in interface iterator.InitialSamplesSettable

Sets the given block of samples as the set of initial samples.

setInitialSamples(DoubleMatrix2D) - Method in interface iterator.InitialSamplesSettable

setInitialSamples(DoubleMatrix2D, DoubleMatrix2D) - Method in interface iterator.InitialSamplesSettable

Sets the initial samples as per the given inputs and outputs.

setInitialSamples(DoubleMatrix2D) - Method in class iterator.NSGA2

setInitialSamples(DataBlock) - Method in class iterator.TwoStageOptimizer

setInitialSamples(DoubleMatrix2D) - Method in class iterator.TwoStageOptimizer

setInitialSamples(DoubleMatrix2D, DoubleMatrix2D) - Method in class iterator.TwoStageOptimizer

setInline(boolean) - Method in class util.CommandLineRunner

Sets the inline.

setInput(int, double[]) - Method in class data.DataBlock

Sets the input at the given index.

setInput(int, DoubleMatrix1D) - Method in class data.DataBlock

Sets the input at the given index.

setInput(double[]) - Method in class data.DataPoint

Sets the input.

setInput(DoubleMatrix1D) - Method in class data.DataPoint

Sets the input.

setInput(int, double) - Method in class data.DataPoint

Sets the specified component of the input to the given value.

setInput(double, double, String) - Method in class util.Cart3DRunner

Modifies a given input control file to set angle of attack and Mach number for CART3D.

setInput(double, double) - Method in class util.Cart3DRunner

Modifies the default CART3D input control file input.cntl.

setInputDimension(int) - Method in class data.DataBlock

Sets the input dimension.

setInputDimension(int) - Method in class data.DataPoint

Sets the input dimension.

setInputDimension(int) - Method in class distribution.BasicMultivariateDistribution

setInputDimension(int) - Method in class distribution.LatinHypercube

setInputDimension(int) - Method in interface distribution.MultivariateDistribution

Sets the number of dimensions of this distribution

setInputDimension(int) - Method in class distribution.MultivariateNormal

setInputDimension(int) - Method in class distribution.Uniform

setInputDimension(int) - Method in class diviner.BasicMultiObjectiveDiviner

Sets the inputDimension.

setInputDimension(int) - Method in class function.Rosenbrock

setInputDimension(int) - Method in class function.VariableDomainScalarFunction

Sets the number of input dimensions.

setInputDimension(int) - Method in interface function.VariableInputDimension

Sets the dimensionality of this ScalarFunction.

setInputDimension(int) - Method in class function.VectorFunctionBuilder

setInputDimension(int) - Method in class model.BasicCorrelationFunction

Sets the input dimension.

setInputDimension(int) - Method in class model.DifferentiableCorrelationFunction

setInputDimension(int) - Method in class problem.BasicOptimizationProblem

Sets the input dimension of this problem.

setInputDimension(int) - Method in class util.Hypercube

Sets the number of dimensions.

setInputs(double[][]) - Method in class data.DataBlock

Sets the inputs.

setInputs(DoubleMatrix2D) - Method in class data.DataBlock

Sets the inputs.

setInterpolationFactor(double) - Method in class iterator.BasicRealEncodedGA

Sets the interpolation factor.

setK(double) - Method in class diviner.RiskPerfTradeDiviner

Sets the tradeoff factor between mean and standard deviation.

setLength(double) - Method in class function.WaveDragAxisymmetric

Sets the body length.

setLoFiFunction(ScalarFunction) - Method in class model.BasicTwoFidelityModel

setLoFiFunction(ScalarFunction) - Method in interface model.TwoFidelityApproxModel

Sets the low-fidelity approximation to be used.

setLogFileName(String) - Method in class iterator.AbstractOptimizer

setLogFileName(String) - Method in interface iterator.LoggableIterator

Sets the log file name.

setLowerBound(double[]) - Method in class util.Hypercube

Sets the lower bound of this Hypercube.

setLowerBoundVec(DoubleMatrix1D) - Method in class util.Hypercube

Sets the lower bound of this Hypercube.

setMach(double) - Method in class function.WaveDragAxisymmetric

Sets the free-stream Mach number.

setMainOptimizer(TwoStageOptimizer<T, W>) - Method in class iterator.TwoStageAlgoBuilder

Sets the main optimizer.

setMainOptimizer(TwoStageRiskPerfOptimizer<T, W>) - Method in class iterator.TwoStageRiskPerfAlgoBuilder

Sets the main optimizer.

setMaxFunEval(int) - Method in class iterator.AbstractOptimizer

Sets the maximum number of allowed function evaluations.

setMaxFunEval(int) - Method in class iterator.TwoStageRiskPerfAlgoBuilder

setMaxVolume(double) - Method in class function.WaveDragAxisymmetric

Sets the maximum enclosed volume.

setMean(DoubleMatrix1D) - Method in class distribution.MultivariateNormal

Sets the mean of this distribution.

setMixingPmf(double[]) - Method in class distribution.BasicMultivariateMixture

setMixingPmf(DoubleMatrix1D) - Method in class distribution.BasicMultivariateMixture

setMixingPmf(double[]) - Method in interface distribution.MultivariateMixture

Sets the mixing p.m.f.

setMixingPmf(DoubleMatrix1D) - Method in interface distribution.MultivariateMixture

Sets the mixing p.m.f.

setMutationBox(Hypercube) - Method in class iterator.BasicRealEncodedGA

Sets the mutation box.

setMutationFraction(double) - Method in class iterator.BasicRealEncodedGA

Sets the mutation fraction.

setMutationProbability(double) - Method in class iterator.BasicRealEncodedGA

Sets the mutation probability.

setNominalRadius(double) - Method in class function.WaveDragAxisymmetric

Sets the nominal maximum radius.

setObjective(ScalarFunction) - Method in class problem.BasicMultiObjectiveProblem

setObjective(ScalarFunction) - Method in class problem.BasicOptimizationProblem

setObjective(ScalarFunction) - Method in interface problem.OptimizationProblem

Sets the objective for this problem..

setObjective(ScalarFunction) - Method in class problem.VectorFunctionToProblem

NOTE: Does nothing! In contrast, @see problem.BasicOptimizationProblem#setObjective(function.ScalarFunction)

setObjectiveCount(int) - Method in class data.MultiobjectiveComparator

Sets the objectiveCount.

setObjectiveDiviner(ImprovementDiviner) - Method in class diviner.ConstrainedImprovementDiviner

Sets the diviner for the objective function.

setObjectiveModel(ApproxModel) - Method in class diviner.BasicBoundConstrainedDiviner

setObjectiveModel(ApproxModel) - Method in interface diviner.BoundConstrainedDiviner

Sets the ApproxModel for this BoundConstrainedDiviner.

setObjectiveModel(ApproxModel) - Method in class diviner.MultiMetricDiviner

setObjectiveModel(ApproxModel) - Method in class model.PenaltyFunctionModel

setOutput(int, double[]) - Method in class data.DataBlock

Sets the output at the given index.

setOutput(int, DoubleMatrix1D) - Method in class data.DataBlock

Sets the output at the given index.

setOutput(double[]) - Method in class data.DataPoint

Sets the output.

setOutput(DoubleMatrix1D) - Method in class data.DataPoint

Sets the output.

setOutput(int, double) - Method in class data.DataPoint

Sets the specified component of the output to the given value.

setOutputDimension(int) - Method in class data.DataBlock

Sets the output dimension.

setOutputDimension(int) - Method in class data.DataPoint

Sets the output dimension.

setOutputDimension(int) - Method in interface function.VariableOutputDimension

Sets the number of output dimensions.

setOutputDimension(int) - Method in class function.VectorFunctionBuilder

setOutputDimension(int) - Method in class problem.BasicOptimizationProblem

Sets the output dimension.

setOutputNumber(int) - Method in class model.BasicApproxModel

setOutputNumber(int) - Method in class model.BasicTwoFidelityModel

setOutputNumber(int) - Method in interface model.DataFit

Sets the output index for this DataFit.

setOutputs(double[][]) - Method in class data.DataBlock

Sets the outputs.

setOutputs(DoubleMatrix2D) - Method in class data.DataBlock

Sets the outputs.

setParent(WaveDragAxisymmetric) - Method in class function.WaveDragAxisymmetric.AreaRule

Sets the parent.

setParent(WaveDragAxisymmetric) - Method in class function.WaveDragAxisymmetric.CART3D

Sets the parent.

setParent(WaveDragAxisymmetric) - Method in class function.WaveDragAxisymmetric.Panair

Sets the parent.

setPenaltyFunctionModel(PenaltyFunctionModel) - Method in class iterator.PenaltyTwoStageAlgoBuilder

Sets the penalty-function model.

setPenaltyParameters(double[]) - Method in class data.PenaltyFunctionComparer

Sets the penaltyParameters.

setPenaltyVector(DoubleMatrix1D) - Method in class model.PenaltyFunctionModel

setPollInterval(int) - Method in class util.CommandLineRunner

Sets the interval at which the system is queried for completion of the running task.

setPopulationSize(int) - Method in class iterator.AbstractPopulationOptimizer

Sets the population size.

setPriorMean(double) - Method in class model.GPRegression

Sets the prior mean.

setPriorVariance(double) - Method in class model.GPRegression

Sets the prior variance.

setProblem(T) - Method in class iterator.AbstractOptimizer

Sets the problem for this iterator to solve.

setProblem(T) - Method in class iterator.TwoStageAlgoBuilder

Sets the problem.

setProblem(T) - Method in class iterator.TwoStageRiskPerfAlgoBuilder

Sets the problem.

setRandomSeed(int) - Method in class iterator.AbstractInitialSampleBasedOptimizer

Sets the randomSeed.

setRandomSeed(int) - Method in interface iterator.InitialSamplesSettable

Sets the randomSeed.

setRandomSeed(int) - Method in interface iterator.RepeatableLoggableIterator

Sets the random seed.

setRandomSeed(int) - Method in class iterator.TwoStageAlgoBuilder

setRandomSeed(int) - Method in class iterator.TwoStageOptimizer

setRandomSeed(int) - Method in class iterator.TwoStageRiskPerfAlgoBuilder

setRisk(double) - Method in class diviner.RiskDiviner

Sets the risk, defined as in RiskDiviner.getRisk().

setRowCount(int) - Method in class protobuf.ComputeServiceProtos.Matrix.Builder

setRunCommand(String) - Method in class util.CommandLineRunner

Sets the run command.

setScalarFunctions(ArrayList<ScalarFunction>) - Method in class function.VectorFunctionBuilder

Sets the scalarFunctions.

setScratchDir(String) - Method in class util.CommandLineRunner

Sets the scratch directory to be used for any file IO that this task generates.

setSeed(int) - Method in class distribution.BasicMultivariateMixture

setSeed(int) - Method in interface distribution.MultivariateDistribution

Sets the seed for the random number generator of this distribution instance.

setSeed(int) - Method in class distribution.MultivariateNormal

setSeed(int) - Method in class distribution.Uniform

setShrinkFactor(double) - Method in class iterator.ISIS

Sets the shrink factor.

setStatusCommand(String) - Method in class util.CommandLineRunner

Sets the command to query completion of this task.

setStdDev(double) - Method in class diviner.RiskDiviner

Sets the stdDev, defined in RiskDiviner.getStdDev().

setTargetImprovement(double) - Method in class diviner.PIDiviner

Sets the target improvement.

setTargetObjective(double) - Method in class diviner.ConstrainedImprovementDiviner

Sets the desired value of the objective.

setTargetObjective(double) - Method in class diviner.ImprovementDiviner

Sets the value of the target objective desired.

setTargetObjective(double) - Method in class diviner.MultiMetricDiviner

setTargetObjective(double) - Method in class diviner.PIDiviner

setTau(double[]) - Method in class model.BasicCorrelationFunction

Sets the length-scale parameter array tau.

setTau(double[]) - Method in class model.GPRegression

Sets the length-scale parameters.

setTauMax(double[]) - Method in class model.GPRegression

Sets the upper bound on length-scale parameters..

setTauMin(double[]) - Method in class model.GPRegression

Sets the lower bound on length-scale parameters.

setThreadCount(int) - Method in class iterator.NSGA2

Sets the number of threads this iterator can launch simultaneously.

setTimeoutInterval(double) - Method in class util.CommandLineRunner

Sets the timeout interval.

setUncertaintyEstimator(ScalarFunction) - Method in class model.BasicApproxModel

Sets the uncertaintyEstimator.

setUpperBound(double[]) - Method in class util.Hypercube

Sets the upper bound of this Hypercube.

setUpperBoundvec(DoubleMatrix1D) - Method in class util.Hypercube

Sets the upper bound of this Hypercube.

setValues(int, double) - Method in class protobuf.ComputeServiceProtos.Matrix.Builder

setVectorFunction(CaffeToVectorFunction) - Method in class caffeinterface.CaffeComputeRpc

Sets the CaffeToVectorFunction to be provided by this service.

setVectorFunction(VectorFunction) - Method in class problem.BasicMultiObjectiveProblem

Sets the vector function for computing multiple objectives..

setVectorFunction(VectorFunction) - Method in interface problem.MultiObjectiveProblem

Sets the vector function to be used for multiple objectives.

setVectorFunction(VectorFunction) - Method in class problem.VectorFunctionToProblem

Sets the vector function to be used for this adapter.

setVectorFunctions(ArrayList<VectorFunction>) - Method in class function.VectorFunctionBuilder

Sets the vectorFunctions.

setVerbose(boolean) - Method in class iterator.AbstractIterator

Sets the verbosity of this iterator.

setWriteFrontsToFile(boolean) - Method in class iterator.NSGA2

Sets whether the pareto fronts at each iteration will be written to file.

setXmlFileName(String) - Method in class caffeinterface.CaffeToScalarFunction

Sets the name of the XML file to be used for data input

setXmlFileName(String) - Method in class caffeinterface.CaffeToVectorFunction

Sets the name of the XML file to be used for data input

Shekel10 - Class in function

Shekel10 function.

Shekel10() - Constructor for class function.Shekel10

Shekel5 - Class in function

Shekel functions, as defined by Dixon and Szego.

Shekel5() - Constructor for class function.Shekel5

Shekel7 - Class in function

Shekel7 function.

Shekel7() - Constructor for class function.Shekel7

singleIteration() - Method in class iterator.AbstractPointOptimizer

singleIteration() - Method in class iterator.AbstractPopulationOptimizer

singleIteration() - Method in interface iterator.Iterable

Performs a single iteration.

singleIteration() - Method in class iterator.MultiPointRiskPerfOptimizer

singleIteration() - Method in class iterator.NSGA2

singleIteration() - Method in class iterator.PCGA

This method is overriden here for this special implementation of PCGA, where generated offspring are immediately added to the eligible mating pool.

singleIteration() - Method in class iterator.TwoStageRiskPerfAlgoBuilder

singleIteration() - Method in class util.Cart3DRunner

singleIteration() - Method in class util.CommandLineRunner

Sleeps for a designated sleep interval.

singleIteration() - Method in class util.PanairRunnerLinux

singleIteration() - Method in class util.PanairRunnerShevell

singleObjectiveSearch(int, double) - Method in class iterator.NSGA2

Sorts the pareto front according to the specified objective, then returns the population member at the specified fraction of this sorted list.

size() - Method in class data.DataHandler

Returns the number of DataPoints in the collection of data.

sortFrontOn(int) - Method in class iterator.NSGA2

Sorts the pareto front on the specified objective.

statArgument - Variable in class util.CommandLineRunner

statusString - Variable in class util.PanairRunnerShevell

STD_DEVS_OUT - Static variable in class model.GPRegression

SupersonicWB - Class in function

Uses Alex Haas's CAFFE class to compute several performance metrics for a supersonic wing-body.

SupersonicWB() - Constructor for class function.SupersonicWB