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

G

g - Variable in class function.ZDTFunction

get(int) - Method in class data.DataHandler

Returns the DataPoint at the specified index in the data list.

get1Darray(String) - Method in class caffeinterface.CaffeArrayFix

Gets a 1-D array from the database.

get2Darray(String) - Method in class caffeinterface.CaffeArrayFix

Gets a 2-D array from the database.

getApproxModel() - Method in class diviner.BasicMultiObjectiveDiviner

getApproxModel() - Method in interface diviner.MultiObjectiveDiviner

Returns the surrogate model used by this diviner.

getApproxModel() - Method in class iterator.MultiPointRiskPerfOptimizer

Returns the approxModel.

getApproxModel() - Method in class model.ApproxModelToVectorFunction

Returns the approxModel.

getApproxModels() - Method in class iterator.TwoStageAlgoBuilder

Returns the list of approximation models.

getApproxModels() - Method in class iterator.TwoStageRiskPerfAlgoBuilder

Returns the list of approximation models.

getArgList() - Method in class util.CommandLineRunner

Returns the argList.

getAuxiliaryOptimizer() - Method in class iterator.TwoStageOptimizer

Returns the auxiliary optimizer, which is typically some simple optimizer that can handle multi-modal functions, perhaps at the cost of function evaluations.

getAuxOptimizer() - Method in class iterator.TwoStageAlgoBuilder

Returns the auxiliary optimizer.

getAuxOptimizer() - Method in class iterator.TwoStageRiskPerfAlgoBuilder

Returns the auxiliary optimizer.

getAuxProblem() - Method in class iterator.TwoStageAlgoBuilder

Returns the auxiliary problem.

getAuxProblem() - Method in class iterator.TwoStageRiskPerfAlgoBuilder

Returns the auxiliary problem.

getBestDesign() - Method in class data.OptimizationDataHandler

Returns the best design in the set of data.

getBlocksize() - Method in class data.DataBlock

Returns the block size of this DataBlock.

getBounds() - Method in class distribution.Uniform

Returns the bounds of this uniform distribution.

getBounds() - Method in class diviner.BasicMultiObjectiveDiviner

Returns the bounds.

getBounds() - Method in class function.BasicScalarFunction

getBounds() - Method in class function.BasicVectorFunction

getBounds() - Method in interface function.Computable

Returns a Hypercube specifying the domain of this Computable.

getBounds() - Method in class function.VariableDomainScalarFunction

getBounds() - Method in class function.VectorFunctionBuilder

Returns the bounds.

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

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

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

getBounds() - Method in class problem.BasicBoundConstrainedProblem

getBounds() - Method in class problem.BasicOptimizationProblem

getBounds() - Method in interface problem.OptimizationProblem

Returns the bounds for this problem.

getCalibrationInterval() - Method in class iterator.TwoStageAlgoBuilder

getCalibrationInterval() - Method in class iterator.TwoStageRiskPerfAlgoBuilder

getCalibrationThreshold() - Method in class model.GPRegression

Returns the calibrationThreshold.

getChannel() - Method in class protobuf.ComputeServiceProtos.Compute.Stub

getCheapConstraints() - Method in class model.PenaltyFunctionModel

getComponent(int) - Method in class distribution.BasicMultivariateMixture

getComponent(int) - Method in interface distribution.MultivariateMixture

Returns the requested component of this mixture.

getComponents() - Method in class distribution.BasicMultivariateMixture

getComponents() - Method in interface distribution.MultivariateMixture

Returns the list of components as an ArrayList.

getComputeVarName() - Method in class caffeinterface.CaffeToScalarFunction

Returns the name of the variable that holds the computed result in the CAFFE database.

getConsistencyThreshold() - Method in class model.GPRegression

Returns the threshold at which points are considered inconsistent.

getConstraintCount() - Method in class problem.BasicInequalityConstrainedProblem

getConstraintCount() - Method in interface problem.InequalityConstrainedProblem

Returns the number of constraints that this problem has.

getConstraintCount() - Method in class problem.VectorFunctionToProblem

getConstraintDiviners() - Method in class diviner.ConstrainedImprovementDiviner

Returns the constraint diviners.

getConstraintModels() - Method in class diviner.BasicInequalityConstrainedDiviner

getConstraintModels() - Method in interface diviner.InequalityConstrainedDiviner

Returns the list of models of constraints.

getConstraintModels() - Method in class model.PenaltyFunctionModel

getConstraints() - Method in class problem.BasicInequalityConstrainedProblem

getConstraints() - Method in interface problem.InequalityConstrainedProblem

Returns the list of constraints as an ArrayList.

getConstraintTargets() - Method in class model.PenaltyFunctionModel

Returns the constraintTargets.

getConstraintValue() - Method in class function.WaveDragAxisymmetric.MaxRadiusConstraint

Returns the maximum allowed value of the maximum radius.

getConstraintValue() - Method in class function.WaveDragAxisymmetric.MaxVolumeConstraint

getConstraintViolations(double[]) - Method in class problem.BasicBoundConstrainedProblem

getConstraintViolations(double[]) - Method in class problem.BasicMultiObjectiveProblem

getConstraintViolations(double[]) - Method in interface problem.BoundConstrainedProblem

Returns the bound-constraint violations for a given input.

getCorrelationFunction() - Method in class model.GPRegression

Returns the correlation function.

getCorrelationFunctionType() - Method in class model.GPRegression

Returns the correlation function type.

getDataHandler() - Method in class iterator.AbstractOptimizer

Returns the OptimizationDataHandler that handles the data for this problem.

getDataListeners() - Method in class data.DataHandler

Returns the list of DataListeners.

getDataPoint(int) - Method in class data.DataBlock

Gets the requested DataPoint.

getDefaultInstance() - Static method in class protobuf.ComputeServiceProtos.Matrix

getDefaultInstanceForType() - Method in class protobuf.ComputeServiceProtos.Matrix.Builder

getDefaultInstanceForType() - Method in class protobuf.ComputeServiceProtos.Matrix

getDeltaFraction() - Method in class iterator.TwoStageRiskPerfOptimizer

Returns the deltaFraction.

getDescriptor() - Static method in class protobuf.ComputeServiceProtos.Compute

getDescriptor() - Static method in class protobuf.ComputeServiceProtos

getDescriptor() - Static method in class protobuf.ComputeServiceProtos.Matrix

getDescriptorForType() - Method in class protobuf.ComputeServiceProtos.Compute

getDescriptorForType() - Method in class protobuf.ComputeServiceProtos.Matrix.Builder

getDifferenceGP() - Method in class model.BasicTwoFidelityModel

Returns the GPRegression modeling the difference between the high- and low-fidelity analyses..

getDiviner() - Method in class iterator.TwoStageAlgoBuilder

Returns the diviner.

getDiviner() - Method in class iterator.TwoStageRiskPerfAlgoBuilder

Returns the diviner.

getDiviners() - Method in class diviner.MultiMetricDiviner

Returns the diviners.

getErrAmplitude() - Method in class function.Hartman3LoFi

getErrAmplitude() - Method in class function.Hartman6LoFi

Returns the magnitude of the error sinusoid.

getErrAmplitude() - Method in class function.WoodsLoFi

getError() - Method in class util.CommandLine

Returns the buffered error output of this process.

getExpandFactor() - Method in class iterator.ISIS

Returns the expand factor: the factor by which to grow the trust region in case of improvement.

getExtrapolationFactor() - Method in class iterator.BasicRealEncodedGA

Returns the extrapolation factor.

getFirstOutputIndex() - Method in class data.MultiobjectiveComparator

Returns the firstOutputIndex.

getFunEvalCount() - Method in class iterator.AbstractOptimizer

Returns the number of function evaluations.

getFunEvalCount() - Method in class iterator.TwoStageAlgoBuilder

getFunEvalCount() - Method in class iterator.TwoStageRiskPerfAlgoBuilder

getGradient() - Method in class function.BasicDifferentiableScalarFunction

getGradient() - Method in interface function.ScalarDifferentiableFunction

Returns the gradient function.

getInconsistentData() - Method in class model.GPRegression

Returns the set of inconsistent data.

getInfillSampleSize() - Method in class iterator.MultiPointRiskPerfOptimizer

Returns the infillSampleSize.

getInitialSampleCount() - Method in class iterator.TwoStageOptimizer

Returns the the number of initial samples.

getInput(int) - Method in class data.DataBlock

Returns the inputs at the given index.

getInput() - Method in class data.DataPoint

Returns the input.

getInput(int) - Method in class data.DataPoint

Returns the desired component of the input

getInputDimension() - Method in class data.DataBlock

Returns the input dimension.

getInputDimension() - Method in class data.DataPoint

Returns the input dimension.

getInputDimension() - Method in class distribution.BasicMultivariateDistribution

getInputDimension() - Method in interface distribution.MultivariateDistribution

Returns the number of dimensions of this distribution

getInputDimension() - Method in class distribution.Uniform

getInputDimension() - Method in class diviner.BasicMultiObjectiveDiviner

Returns the inputDimension.

getInputDimension() - Method in class function.BasicScalarFunction

getInputDimension() - Method in class function.BasicVectorFunction

getInputDimension() - Method in interface function.Computable

Returns the number of dimensions accepted by this Computable.

getInputDimension() - Method in class function.VariableDomainScalarFunction

getInputDimension() - Method in class function.VectorFunctionBuilder

Returns the inputDimension.

getInputDimension() - Method in class model.BasicCorrelationFunction

Returns the input dimension.

getInputDimension() - Method in class problem.BasicOptimizationProblem

getInputDimension() - Method in interface problem.OptimizationProblem

Returns the dimensionality of the inputs to this problem.

getInputDimension() - Method in class util.Hypercube

Returns the number of dimensions.

getInputs() - Method in class data.DataBlock

Returns the inputs.

getInputStream() - Method in class util.CommandLine

Returns the input stream of this process.

getInputVec() - Method in class data.DataPoint

Returns the input as a DoubleMatrix1D.

getInstance(String) - Static method in class function.FunctionFactory

Creates an instance of the requested function.

getInstance(String, Integer) - Static method in class function.FunctionFactory

Returns an instance of the requested function in the given number of dimensions.

getInstance(BasicCorrelationFunction.TYPE, int) - Static method in class model.BasicCorrelationFunction

Creates and returns a correlation function instance, by default the squared exponential one.

getInstance(int) - Static method in class model.BasicCorrelationFunction

Returns an instance of an SE correlation function in the given number of dimensions.

getInstance(BasicCorrelationFunction.TYPE, int) - Static method in class model.DifferentiableCorrelationFunction

Returns a instance of a DifferentiableCorrelationFunction of the given type, in the given number of dimensions.

getInstance(int) - Static method in class util.Hypercube

Returns an infinite Hypercube instance in the specified number of dimensions.

getInterpolationFactor() - Method in class iterator.BasicRealEncodedGA

Returns the interpolation factor.

getK() - Method in class diviner.RiskPerfTradeDiviner

Returns the tradeoff factor between mean predictions and uncertainty.

getL() - Method in class model.GPRegression

Returns the l.

getLength() - Method in class function.WaveDragAxisymmetric

Returns the body length.

getLoFiFunction() - Method in class model.BasicTwoFidelityModel

getLoFiFunction() - Method in interface model.TwoFidelityApproxModel

Returns the low-fidelity approximation used by this ApproxModel.

getLogFileName() - Method in class iterator.AbstractOptimizer

Returns the name of the log file name for this optimizer.

getLogFileName() - Method in interface iterator.LoggableIterator

Returns the name of the log file for this iterator.

getLowerBound() - Method in class util.Hypercube

Returns the lower bound.

getLowerBoundVec() - Method in class util.Hypercube

Returns the lower bound of this Hypercube.

getMach() - Method in class function.WaveDragAxisymmetric

Returns the free stream Mach number.

getMainClass() - Method in class caffeinterface.CaffeToScalarFunction

Returns the main compute class in the CAFFE application.

getMainClass() - Method in class caffeinterface.CaffeToVectorFunction

Returns the main compute class in the CAFFE application.

getMainOptimizer() - Method in class iterator.TwoStageAlgoBuilder

Returns the main optimizer.

getMainOptimizer() - Method in class iterator.TwoStageRiskPerfAlgoBuilder

Returns the main optimizer.

getMaxFunEval() - Method in class iterator.AbstractOptimizer

Returns the maximum number of allowed function evaluations.

getMaxFunEval() - Method in class iterator.TwoStageRiskPerfAlgoBuilder

getMaxUncertainty() - Method in interface model.ApproxModel

getMaxUncertainty() - Method in class model.BasicTwoFidelityModel

getMaxUncertainty() - Method in class model.GPRegression

getMaxUncertainty() - Method in class model.PenaltyFunctionModel

getMaxVolume() - Method in class function.WaveDragAxisymmetric

Returns the maximum allowed enclosed volume.

getMessage() - Method in exception util.Exceptions.ComputationException

getMessage() - Method in exception util.Exceptions.InputDimensionException

getMessage() - Method in exception util.Exceptions.OutOfBoundsException

getMessage() - Method in exception util.Exceptions.OutputDimensionException

getMessage() - Method in exception util.Exceptions.SingularMatrixException

getMixingPmf() - Method in class distribution.BasicMultivariateMixture

getMixingPmf() - Method in interface distribution.MultivariateMixture

Returns a DoubleArrayList containing the mixing p.m.f.

getMutationBox() - Method in class iterator.BasicRealEncodedGA

Returns the mutation box.

getMutationFraction() - Method in class iterator.BasicRealEncodedGA

Returns the mutation fraction.

getMutationProbability() - Method in class iterator.BasicRealEncodedGA

Returns the probability of mutation.

getNominalRadii() - Method in class function.WaveDragAxisymmetric

Returns the nominal radii.

getNominalRadius() - Method in class function.WaveDragAxisymmetric

Returns the nominal maximum radius.

getObjective() - Method in class problem.BasicMultiObjectiveProblem

NOTE! Returns null! In contrast, @see problem.BasicOptimizationProblem#getObjective()

getObjective() - Method in class problem.BasicOptimizationProblem

getObjective() - Method in interface problem.OptimizationProblem

Returns the objective for this problem, which is a ScalarFunction.

getObjective() - Method in class problem.VectorFunctionToProblem

getObjectiveCount() - Method in class data.MultiobjectiveComparator

Returns the objectiveCount.

getObjectiveCount() - Method in class problem.BasicMultiObjectiveProblem

getObjectiveCount() - Method in interface problem.MultiObjectiveProblem

Returns the number of objectives.

getObjectiveDiviner() - Method in class diviner.ConstrainedImprovementDiviner

Returns the diviner for the objective function.

getObjectiveModel() - Method in class diviner.BasicBoundConstrainedDiviner

getObjectiveModel() - Method in interface diviner.BoundConstrainedDiviner

Returns the ApproxModel for this BoundConstrainedDiviner.

getObjectiveModel() - Method in class model.PenaltyFunctionModel

getOutput(int) - Method in class data.DataBlock

Returns the outputs at the given index.

getOutput() - Method in class data.DataPoint

Returns the output.

getOutput(int) - Method in class data.DataPoint

Returns the desired component of the output.

getOutput() - Method in class util.CommandLine

Returns the buffered output of this process.

getOutputDimension() - Method in class data.DataBlock

Returns the output dimension.

getOutputDimension() - Method in class data.DataPoint

Returns the output dimension.

getOutputDimension() - Method in class function.BasicScalarFunction

getOutputDimension() - Method in class function.BasicVectorFunction

getOutputDimension() - Method in interface function.Computable

Returns the output dimension for this Computable.

getOutputDimension() - Method in class function.VectorFunctionBuilder

getOutputDimension() - Method in class problem.BasicMultiObjectiveProblem

getOutputDimension() - Method in class problem.BasicOptimizationProblem

getOutputDimension() - Method in interface problem.OptimizationProblem

Returns the number of outputs = number of constraints + 1.

getOutputNumber() - Method in class model.BasicApproxModel

getOutputNumber() - Method in class model.BasicTwoFidelityModel

getOutputNumber() - Method in interface model.DataFit

In the case when this DataFit operates on a multi-output DataBlocks, denotes the index of the output vector that it should use.

getOutputs() - Method in class data.DataBlock

Returns the outputs.

getOutputStream() - Method in class util.CommandLine

Returns the output stream of this process.

getOutputVec() - Method in class data.DataPoint

Returns the output as a DoubleMatrix1D.

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

Returns the parent WaveDragAxisymmetric container.

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

Returns the parent.

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

Returns the parent container.

getPenaltyFunctionModel() - Method in class iterator.PenaltyTwoStageAlgoBuilder

Returns the penalty-function model.

getPenaltyParameters() - Method in class data.PenaltyFunctionComparer

Returns the penaltyParameters.

getPenaltyVector() - Method in class model.PenaltyFunctionModel

getPollInterval() - Method in class util.CommandLineRunner

Returns the pollInterval.

getPopulation() - Method in class iterator.BasicRealEncodedGA

getPopulation() - Method in class iterator.NSGA2

getPopulationSize() - Method in class iterator.AbstractPopulationOptimizer

Returns the population size.

getPriorMean() - Method in class model.GPRegression

Returns the prior mean.

getPriorVariance() - Method in class model.GPRegression

Returns the prior variance.

getProblem() - Method in class iterator.AbstractOptimizer

Returns the problem that this iterator tries to solve.

getProblem() - Method in class iterator.TwoStageAlgoBuilder

Returns the main problem.

getProblem() - Method in class iterator.TwoStageRiskPerfAlgoBuilder

Returns the main problem.

getRandomSeed() - Method in class iterator.AbstractInitialSampleBasedOptimizer

getRandomSeed() - Method in interface iterator.RepeatableLoggableIterator

Returns the random seed.

getRandomSeed() - Method in class iterator.TwoStageAlgoBuilder

getRandomSeed() - Method in class iterator.TwoStageOptimizer

getRandomSeed() - Method in class iterator.TwoStageRiskPerfAlgoBuilder

getRedundantData() - Method in class model.GPRegression

Returns the set of redundant data.

getRequestPrototype(Descriptors.MethodDescriptor) - Method in class protobuf.ComputeServiceProtos.Compute

getResponsePrototype(Descriptors.MethodDescriptor) - Method in class protobuf.ComputeServiceProtos.Compute

getRisk() - Method in class diviner.RiskDiviner

Returns the risk, defined as the probability of obtaining an objective value higher than the target.

getRowCount() - Method in class protobuf.ComputeServiceProtos.Matrix.Builder

getRowCount() - Method in class protobuf.ComputeServiceProtos.Matrix

getRunCommand() - Method in class util.CommandLineRunner

Returns the command used to run the tool/analysis.

getScalarFunctions() - Method in class function.VectorFunctionBuilder

Returns the scalarFunctions.

getScratchDir() - Method in class util.CommandLineRunner

Returns the directory for any file I/O that this task may need.

getSearsHaackRadii() - Method in class function.WaveDragAxisymmetric

Returns the Sears-Haack radii for fixed cross-sectional area.

getSearsHaackRadii2() - Method in class function.WaveDragAxisymmetric

Returns the Sears-Haack radii for fixed enclosed volume.

getShrinkFactor() - Method in class iterator.ISIS

Returns the shrink factor: the factor by which to grow the trust region in case of no improvement.

getState() - Method in class model.GPRegression

Returns the state.

getStatusCommand() - Method in class util.CommandLineRunner

Returns the command to check for monitoring completion.

getStdDev() - Method in class diviner.RiskDiviner

Returns the number of std.deviations out at which risk occurs.

getTargetImprovement() - Method in class diviner.PIDiviner

Returns the target improvement.

getTargetObjective() - Method in class diviner.ConstrainedImprovementDiviner

Returns the target objective desired.

getTargetObjective() - Method in class diviner.ImprovementDiviner

Returns the target objective.

getTau() - Method in class model.BasicCorrelationFunction

Returns the length-scale parameter array tau.

getTau() - Method in class model.GPRegression

Returns the length-scale parameters, tau.

getTauMax() - Method in class model.GPRegression

Returns the upper bound on length-scale parameters.

getTauMin() - Method in class model.GPRegression

Returns the lower bound on length-scale parameters.

getThreadCount() - Method in class iterator.NSGA2

Returns the number of threads this iterator can launch simultaneously.

getTimeoutInterval() - Method in class util.CommandLineRunner

Returns the timeout interval.

getUncertaintyEstimator() - Method in interface model.ApproxModel

getUncertaintyEstimator() - Method in class model.BasicApproxModel

Returns the uncertaintyEstimator.

getUncertaintyEstimator() - Method in class model.BasicTwoFidelityModel

getUpperBound() - Method in class util.Hypercube

Returns the upper bound.

getUpperBoundVec() - Method in class util.Hypercube

Returns the upper bound of this Hypercube.

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

getValues(int) - Method in class protobuf.ComputeServiceProtos.Matrix

getValuesCount() - Method in class protobuf.ComputeServiceProtos.Matrix.Builder

getValuesCount() - Method in class protobuf.ComputeServiceProtos.Matrix

getValuesList() - Method in class protobuf.ComputeServiceProtos.Matrix.Builder

getValuesList() - Method in class protobuf.ComputeServiceProtos.Matrix

getVectorFunction() - Method in class caffeinterface.CaffeComputeRpc

Returns the CaffeToVectorFunction provided by this service.

getVectorFunction() - Method in class problem.BasicMultiObjectiveProblem

Returns the vector function for computing multiple objectives..

getVectorFunction() - Method in interface problem.MultiObjectiveProblem

Returns the vector function for computing the multiple objectives.

getVectorFunction() - Method in class problem.VectorFunctionToProblem

Returns the vector function used by this adapter.

getVectorFunctions() - Method in class function.VectorFunctionBuilder

Returns the vectorFunctions.

getX() - Method in class model.GPRegression

Returns the x.

getXLocations() - Method in class function.WaveDragAxisymmetric

Returns the x-locations at which the radii are specified.

getXmlFileName() - Method in class caffeinterface.CaffeToScalarFunction

Returns the name of the XML file to be used for data input.

getXmlFileName() - Method in class caffeinterface.CaffeToVectorFunction

Returns the name of the XML file to be used for data input.

GPRegression - Class in model

Creation process: Set tau (compulsory), set prior mean and covariance, set bounds, init().

GPRegression() - Constructor for class model.GPRegression

GPRegression.STATE - Enum in model

Encodes the state of the GP.

gradient - Static variable in class function.BasicDifferentiableScalarFunction

gradient - Variable in class model.DifferentiableCorrelationFunction

gradient(DoubleMatrix1D, DoubleMatrix1D) - Method in class model.DifferentiableCorrelationFunction

Computes the gradient of the correlation between the outputs at x1, x2, at the current value of the length-scale parameters.

gradient(DoubleMatrix1D, DoubleMatrix1D, double[]) - Method in class model.DifferentiableCorrelationFunction

The same as DifferentiableCorrelationFunction.gradient(DoubleMatrix1D, DoubleMatrix1D), but places the result in the supplied array.

gradient(DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix1D) - Method in class model.DifferentiableCorrelationFunction

The same as DifferentiableCorrelationFunction.gradient(DoubleMatrix1D, DoubleMatrix1D), but places the result in the supplied vector.

gradient(DoubleMatrix1D, DoubleMatrix2D, DoubleMatrix2D) - Method in class model.DifferentiableCorrelationFunction

Computes the gradient of correlations between output at x1 and those at the matrix x2, at the current value of length-scale parameters, and places the result in the supplied matrix.

gradient(DoubleMatrix2D, DoubleMatrix2D, DoubleMatrix3D) - Method in class model.DifferentiableCorrelationFunction

Similar to DifferentiableCorrelationFunction.gradient(DoubleMatrix1D, DoubleMatrix2D, DoubleMatrix2D), but between two sets of points.

gradient(DoubleMatrix1D, DoubleMatrix1D, double[]) - Method in class model.ExponentialCorrelationFunction

gradient(DoubleMatrix1D, DoubleMatrix1D, double[]) - Method in class model.SECorrelationFunction