Hierarchy For All Packages

Package Hierarchies:

caffeinterface, data, distribution, diviner, experiment, function, iterator, model, problem, protobuf, util

Class Hierarchy

• java.lang.Object
  • iterator.AbstractIterator (implements iterator.Iterable)
    • iterator.AbstractOptimizer<T> (implements data.DataListener, iterator.LoggableIterator)
      • iterator.AbstractInitialSampleBasedOptimizer<T> (implements iterator.InitialSamplesSettable, iterator.RepeatableLoggableIterator)
        • iterator.AbstractPopulationOptimizer<T>
          • iterator.BasicRealEncodedGA<T>
            • iterator.NSGA2
            • iterator.PCGA
          • iterator.ISIS
      • iterator.AbstractPointOptimizer<T>
        • iterator.TwoStageAlgoBuilder<T,V,W> (implements iterator.RepeatableLoggableIterator)
          • iterator.ConstrainedTwoStageAlgoBuilder
          • iterator.ImprovementAlgoBuilder
          • iterator.PenaltyTwoStageAlgoBuilder
        • iterator.TwoStageOptimizer<T,V> (implements iterator.InitialSamplesSettable)
          • iterator.TwoStageRiskPerfOptimizer<T,V>
            • iterator.MultiPointRiskPerfOptimizer<T,V>
              • iterator.AdaptiveMultiPointRiskPerfOptimizer<T,V>
        • iterator.TwoStageRiskPerfAlgoBuilder<T,V,W> (implements iterator.RepeatableLoggableIterator)
          • iterator.MultiPointRiskPerfAlgoBuilder<T,V,W>
    • util.CommandLineRunner
      • util.Cart3DRunner
      • util.PanairRunnerShevell
        • util.PanairRunnerLinux
  • com.google.protobuf.AbstractMessage (implements com.google.protobuf.Message)
    • com.google.protobuf.GeneratedMessage
      • protobuf.ComputeServiceProtos.Matrix
  • com.google.protobuf.AbstractMessage.Builder<BuilderType> (implements com.google.protobuf.Message.Builder)
    • com.google.protobuf.GeneratedMessage.Builder<BuilderType>
      • protobuf.ComputeServiceProtos.Matrix.Builder
  • model.BasicCorrelationFunction (implements function.VariableInputDimension)
    • model.DifferentiableCorrelationFunction
      • model.SECorrelationFunction
        • model.ExponentialCorrelationFunction
  • distribution.BasicMultivariateDistribution (implements distribution.MultivariateDistribution)
    • distribution.BasicMultivariateMixture (implements distribution.MultivariateMixture)
    • distribution.MultivariateNormal
    • distribution.Uniform
      • distribution.LatinHypercube
  • problem.BasicOptimizationProblem (implements problem.OptimizationProblem)
    • problem.BasicBoundConstrainedProblem (implements problem.BoundConstrainedProblem)
      • problem.BasicInequalityConstrainedProblem (implements problem.InequalityConstrainedProblem)
        • problem.VectorFunctionToProblem
      • problem.BasicMultiObjectiveProblem (implements problem.MultiObjectiveProblem)
  • function.BasicScalarFunction (implements function.ScalarFunction)
    • function.BasicDifferentiableScalarFunction (implements function.ScalarDifferentiableFunction)
    • caffeinterface.CaffeToScalarFunction
      • function.WaveDragAxisymmetric.CART3D (implements function.VariableBounds)
    • function.Hartman3
      • function.Hartman3LoFi
    • function.Hartman6
      • function.Hartman6LoFi
    • function.Shekel5
      • function.Shekel7
        • function.Shekel10
    • function.TestFunction1D
    • function.VariableDomainScalarFunction (implements function.VariableBounds, function.VariableInputDimension)
      • model.BasicApproxModel (implements model.ApproxModel, function.VariableBounds)
        • model.GPRegression
        • model.PenaltyFunctionModel
      • diviner.BasicBoundConstrainedDiviner (implements diviner.BoundConstrainedDiviner)
        • diviner.BasicInequalityConstrainedDiviner (implements diviner.InequalityConstrainedDiviner)
          • diviner.ConstrainedImprovementDiviner
            • diviner.ConstrainedEIDiviner
              • diviner.ConstrainedMultiMetricDiviner
        • diviner.ImprovementDiviner
          • diviner.EIDiviner
          • diviner.MultiMetricDiviner
          • diviner.PIDiviner
          • diviner.RiskDiviner
          • diviner.RiskPerfTradeDiviner
      • model.BasicTwoFidelityModel (implements model.TwoFidelityApproxModel)
      • function.Rosenbrock
        • function.RosenbrockLoFi
    • function.WaveDragAxisymmetric.AreaRule (implements function.VariableBounds)
      • function.WaveDragAxisymmetric.MaxRadiusConstraint
        • function.WaveDragAxisymmetric.MaxVolumeConstraint
          • function.WaveDragAxisymmetric.MaxVolumeLoFi
      • function.WaveDragAxisymmetric.MaxRadiusLoFi
    • function.WaveDragAxisymmetric.Panair (implements function.VariableBounds)
      • function.WaveDragAxisymmetric.PanairShevell
    • function.Woods
      • function.WoodsLoFi
  • function.BasicVectorFunction (implements function.VectorFunction)
    • model.ApproxModelToVectorFunction
    • diviner.BasicMultiObjectiveDiviner (implements diviner.MultiObjectiveDiviner)
      • diviner.RiskPerfTypeIDiviner
        • diviner.RiskPerfTypeIIDiviner
        • diviner.RiskPerfTypeIIIDiviner
        • diviner.RiskPerfTypeIVDiviner
        • diviner.RiskPerfTypeVDiviner
    • caffeinterface.CaffeToVectorFunction
      • function.SupersonicWB
    • function.EC6
    • function.VectorFunctionBuilder (implements function.VariableBounds, function.VariableInputDimension, function.VariableOutputDimension)
    • function.ZDTFunction
      • function.ZDT1
        • function.ZDT2
        • function.ZDT3
  • experiment.BlockDataAlgoComparer
  • caffe.CaffeClass
    • caffeinterface.CaffeArrayFix
  • caffeinterface.CaffeClient (implements com.google.protobuf.RpcCallback<ParameterType>)
  • caffeinterface.CaffeServer
  • util.CommandLine
  • protobuf.ComputeServiceProtos
  • protobuf.ComputeServiceProtos.Compute (implements com.google.protobuf.Service)
    • caffeinterface.CaffeComputeRpc
    • protobuf.ComputeServiceProtos.Compute.Stub
  • data.DataBlock
  • data.DataHandler
    • data.OptimizationDataHandler
  • data.DataPoint (implements function.VariableInputDimension, function.VariableOutputDimension)
  • data.DataPointComparer (implements java.util.Comparator<T>)
  • util.Exceptions
  • function.FunctionFactory
  • util.Hypercube
  • util.LowerTriangularMatrix
    • util.CholeskyFactor
  • util.MatrixUtilities
  • data.MultiobjectiveComparator (implements java.util.Comparator<T>)
  • iterator.MultiRunner
  • data.PenaltyFunctionComparer (implements java.util.Comparator<T>)
  • experiment.PointDataAlgoComparer
  • iterator.Runner
  • java.lang.Throwable (implements java.io.Serializable)
    • java.lang.Exception
      • java.lang.RuntimeException
        • util.Exceptions.ComputationException
        • util.Exceptions.SingularMatrixException
        • java.lang.IllegalArgumentException
          • util.Exceptions.InputDimensionException
          • util.Exceptions.OutOfBoundsException
          • util.Exceptions.OutputDimensionException
  • function.WaveDragAxisymmetric

Interface Hierarchy

• function.Computable
  • model.ApproxModel
    • model.TwoFidelityApproxModel
  • diviner.BoundConstrainedDiviner (also extends function.ScalarFunction, function.VariableBounds)
    • diviner.InequalityConstrainedDiviner
  • model.DataFit (also extends data.DataListener, function.ScalarFunction, function.VariableBounds, function.VariableInputDimension)
    • model.ApproxModel
      • model.TwoFidelityApproxModel
    • model.TwoFidelityApproxModel
  • diviner.InequalityConstrainedDiviner
  • diviner.MultiObjectiveDiviner (also extends function.VariableBounds, function.VariableInputDimension, function.VectorFunction)
  • function.ScalarDifferentiableFunction
  • function.ScalarFunction
    • model.ApproxModel
      • model.TwoFidelityApproxModel
    • diviner.BoundConstrainedDiviner (also extends function.VariableBounds)
      • diviner.InequalityConstrainedDiviner
    • model.DataFit (also extends data.DataListener, function.VariableBounds, function.VariableInputDimension)
      • model.ApproxModel
        • model.TwoFidelityApproxModel
      • model.TwoFidelityApproxModel
    • diviner.InequalityConstrainedDiviner
    • function.ScalarDifferentiableFunction
    • model.TwoFidelityApproxModel
  • model.TwoFidelityApproxModel
  • function.VectorFunction
    • diviner.MultiObjectiveDiviner (also extends function.VariableBounds, function.VariableInputDimension)
• data.DataListener
  • model.ApproxModel
    • model.TwoFidelityApproxModel
  • model.DataFit (also extends function.ScalarFunction, function.VariableBounds, function.VariableInputDimension)
    • model.ApproxModel
      • model.TwoFidelityApproxModel
    • model.TwoFidelityApproxModel
  • model.TwoFidelityApproxModel
• iterator.InitialSamplesSettable
• iterator.Iterable
  • iterator.LoggableIterator
    • iterator.RepeatableLoggableIterator
  • iterator.RepeatableLoggableIterator
• distribution.MultivariateDistribution
  • distribution.MultivariateMixture
• problem.OptimizationProblem
  • problem.BoundConstrainedProblem
    • problem.InequalityConstrainedProblem
    • problem.MultiObjectiveProblem
  • problem.InequalityConstrainedProblem
  • problem.MultiObjectiveProblem
• function.VariableBounds
  • model.ApproxModel
    • model.TwoFidelityApproxModel
  • diviner.BoundConstrainedDiviner (also extends function.ScalarFunction)
    • diviner.InequalityConstrainedDiviner
  • model.DataFit (also extends data.DataListener, function.ScalarFunction, function.VariableInputDimension)
    • model.ApproxModel
      • model.TwoFidelityApproxModel
    • model.TwoFidelityApproxModel
  • diviner.InequalityConstrainedDiviner
  • diviner.MultiObjectiveDiviner (also extends function.VariableInputDimension, function.VectorFunction)
  • model.TwoFidelityApproxModel
• function.VariableInputDimension
  • model.ApproxModel
    • model.TwoFidelityApproxModel
  • model.DataFit (also extends data.DataListener, function.ScalarFunction, function.VariableBounds)
    • model.ApproxModel
      • model.TwoFidelityApproxModel
    • model.TwoFidelityApproxModel
  • diviner.MultiObjectiveDiviner (also extends function.VariableBounds, function.VectorFunction)
  • model.TwoFidelityApproxModel
• function.VariableOutputDimension

Enum Hierarchy

• java.lang.Object
  • java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
    • function.WaveDragAxisymmetric.FIDELITY
    • function.WaveDragAxisymmetric.PROBLEM_TYPE
    • model.BasicCorrelationFunction.TYPE
    • model.GPRegression.STATE