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

D

dataAdded(DataBlock) - Method in interface data.DataListener

Notification that a DataBlock has been added.

dataAdded(DataPoint) - Method in interface data.DataListener

Notification that a single DataPoint has been added.

dataAdded(DataBlock) - Method in class iterator.AbstractOptimizer

dataAdded(DataPoint) - Method in class iterator.AbstractOptimizer

dataAdded(DataBlock) - Method in class model.BasicTwoFidelityModel

dataAdded(DataPoint) - Method in class model.BasicTwoFidelityModel

dataAdded(DataBlock) - Method in class model.GPRegression

dataAdded(DataPoint) - Method in class model.GPRegression

dataAdded(DataBlock) - Method in class model.PenaltyFunctionModel

dataAdded(DataPoint) - Method in class model.PenaltyFunctionModel

DataBlock - Class in data

A class for holding a block of data.

DataBlock() - Constructor for class data.DataBlock

Default constructor.

DataBlock(DoubleMatrix2D, DoubleMatrix2D) - Constructor for class data.DataBlock

Constructs a DataBlock with the given matrices as inputs and outputs.

DataBlock(int, int, int) - Constructor for class data.DataBlock

Creates a new DataBlock to hold blocksize input-output pairs, in the corresponding number of dimensions, respectively.

DataFit - Interface in model

A DataFit is a ScalarFunction that also provides the VariableInputDimension and VariableBounds interfaces, thereby allowing its DEFAULT_BOUNDS and dimensionality to be modified.

DataHandler - Class in data

A class to handle sets of input-output data.

DataHandler() - Constructor for class data.DataHandler

Default constructor.

DataListener - Interface in data

Objects supporting this interface can be added as listeners to DataHandlers, and thus be notified whenever data is added or removed to a DataHandler.

DataPoint - Class in data

Class to store an input-output pair, called a DataPoint.

DataPoint() - Constructor for class data.DataPoint

Void constructor.

DataPoint(int, int) - Constructor for class data.DataPoint

Creates a new DataPoint in the given number of input and output dimensions.

DataPointComparer - Class in data

One way of comparing DataPoints: This implementation assumes that the first output of a DataPoint corresponds to an problem objective and the other outputs correspond to constraint violations.

DataPointComparer() - Constructor for class data.DataPointComparer

dataRemoved(DataBlock) - Method in interface data.DataListener

Notification that a DataBlock has been removed.

dataRemoved(DataPoint) - Method in interface data.DataListener

Notification that a single DataPoint has been removed.

dataRemoved(DataBlock) - Method in class iterator.AbstractOptimizer

dataRemoved(DataPoint) - Method in class iterator.AbstractOptimizer

dataRemoved(DataBlock) - Method in class model.BasicTwoFidelityModel

dataRemoved(DataPoint) - Method in class model.BasicTwoFidelityModel

dataRemoved(DataBlock) - Method in class model.GPRegression

dataRemoved(DataPoint) - Method in class model.GPRegression

dataRemoved(DataBlock) - Method in class model.PenaltyFunctionModel

dataRemoved(DataPoint) - Method in class model.PenaltyFunctionModel

db - Variable in class caffeinterface.CaffeToScalarFunction

db - Variable in class caffeinterface.CaffeToVectorFunction

DEFAULT_BOUNDS - Static variable in class function.BasicScalarFunction

DEFAULT_BOUNDS - Static variable in class function.BasicVectorFunction

DEFAULT_DIM - Static variable in class function.BasicScalarFunction

DEFAULT_HOST - Static variable in class caffeinterface.CaffeClient

The default host is localhost.

DEFAULT_INPUT_DIMENSION - Static variable in class function.BasicVectorFunction

DEFAULT_OUTPUT_DIMENSION - Static variable in class function.BasicVectorFunction

DEFAULT_POLL_INTERVAL - Static variable in class util.CommandLineRunner

qstat poll interval in seconds.

DEFAULT_PORT - Static variable in class caffeinterface.CaffeClient

The default port.

DEFAULT_PORT - Static variable in class caffeinterface.CaffeServer

Uses port 5000.

DEFAULT_RUN_COMMAND - Static variable in class util.CommandLineRunner

Command to run the tool, usually a symlink to a script.

DEFAULT_SCRATCH_DIR - Static variable in class util.CommandLineRunner

Scratch directory, if required

DEFAULT_SHELL_COMMAND - Static variable in class util.CommandLine

Default behaviour is to invoke a bash shell just as if it were a login shell, ready to accept commands.

DEFAULT_STATUS_COMMAND - Static variable in class util.CommandLineRunner

Status command to check on CART3D.

DEFAULT_TIMEOUT_INTERVAL - Static variable in class util.CommandLineRunner

Timeout interval in seconds.

densityAt(double[][], double[]) - Method in class distribution.BasicMultivariateDistribution

densityAt(DoubleMatrix1D) - Method in class distribution.BasicMultivariateDistribution

densityAt(DoubleMatrix2D) - Method in class distribution.BasicMultivariateDistribution

densityAt(DoubleMatrix2D, DoubleMatrix1D) - Method in class distribution.BasicMultivariateDistribution

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

densityAt(double[]) - Method in interface distribution.MultivariateDistribution

Computes the density at the given point.

densityAt(double[][], double[]) - Method in interface distribution.MultivariateDistribution

Computes the density at the points that make up the rows of the input array, and places the result in the supplied array.

densityAt(DoubleMatrix1D) - Method in interface distribution.MultivariateDistribution

Computes the density at the given point.

densityAt(DoubleMatrix2D) - Method in interface distribution.MultivariateDistribution

Computes the density at the points comprising the rows of the input matrix, and returns a newly-created vector holding the result.

densityAt(DoubleMatrix2D, DoubleMatrix1D) - Method in interface distribution.MultivariateDistribution

Computes the density at the points comprising the rows of the input matrix, and places the result in the supplied vector.

densityAt(double[]) - Method in class distribution.MultivariateNormal

densityAt(DoubleMatrix2D, DoubleMatrix1D) - Method in class distribution.MultivariateNormal

densityAt(double[]) - Method in class distribution.Uniform

densityAt(DoubleMatrix2D, DoubleMatrix1D) - Method in class distribution.Uniform

diagnosticString - Variable in class iterator.AbstractIterator

diagonal - Variable in class util.LowerTriangularMatrix

diagonal() - Method in class util.LowerTriangularMatrix

Returns the diagonal elements of this CholeskyFactor.

diagonalIndices - Variable in class util.LowerTriangularMatrix

DifferentiableCorrelationFunction - Class in model

A correlation function which is differentiable w.r.t its length-scale parameters.

DifferentiableCorrelationFunction() - Constructor for class model.DifferentiableCorrelationFunction

distribution - package distribution

Provides classes to handle multivariate continuous distributions.

doubleFormat - Static variable in class iterator.AbstractOptimizer