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

A

AbstractInitialSampleBasedOptimizer<T extends BoundConstrainedProblem> - Class in iterator

Abstract class for an optimizer that needs a set of initial samples, rather than a single initial point.

AbstractInitialSampleBasedOptimizer() - Constructor for class iterator.AbstractInitialSampleBasedOptimizer

AbstractIterator - Class in iterator

Abstract class to implement some methods of the Iterable interface.

AbstractIterator() - Constructor for class iterator.AbstractIterator

AbstractOptimizer<T extends OptimizationProblem> - Class in iterator

Abstract class that provides some basic methods for any optimization algorithm.

AbstractOptimizer() - Constructor for class iterator.AbstractOptimizer

AbstractPointOptimizer<T extends OptimizationProblem> - Class in iterator

Optimization algorithm that computes one candidate solution per iteration.

AbstractPointOptimizer() - Constructor for class iterator.AbstractPointOptimizer

AbstractPopulationOptimizer<T extends BoundConstrainedProblem> - Class in iterator

Optimization algorithm that evaluates an entire population at each iteration.

AbstractPopulationOptimizer() - Constructor for class iterator.AbstractPopulationOptimizer

AdaptiveMultiPointRiskPerfOptimizer<T extends BasicBoundConstrainedProblem,V extends NSGA2> - Class in iterator

AdaptiveMultiPointRiskPerfOptimizer() - Constructor for class iterator.AdaptiveMultiPointRiskPerfOptimizer

add(DataPoint) - Method in class data.DataHandler

Adds the given DataPoint to the set of data.

add(DataPoint) - Method in class data.OptimizationDataHandler

addAllValues(Iterable<? extends Double>) - Method in class protobuf.ComputeServiceProtos.Matrix.Builder

addBlock(DataBlock) - Method in class data.DataHandler

Adds the given DataBlock to the set of data.

addComponent(MultivariateDistribution) - Method in class distribution.BasicMultivariateMixture

Adds the given MultivariateDistribution to the list of components of this mixture.

addConstraintViolations() - Method in class problem.BasicBoundConstrainedProblem

Adds bound constraint violation terms to the list of constraint violations.

addConstraintViolations() - Method in class problem.BasicInequalityConstrainedProblem

addInequalityConstraint(ScalarFunction) - Method in class problem.BasicInequalityConstrainedProblem

addInequalityConstraint(ScalarFunction) - Method in interface problem.InequalityConstrainedProblem

Adds the given ScalarFunction as an inequality constraint.

addInequalityConstraint(ScalarFunction) - Method in class problem.VectorFunctionToProblem

addListener(DataListener) - Method in class data.DataHandler

Adds the given DataListener to the list of listeners.

addValues(double) - Method in class protobuf.ComputeServiceProtos.Matrix.Builder

akima(double[], double[], int, double[], double[], int) - Method in class function.WaveDragAxisymmetric.MaxVolumeConstraint

appendRow(DoubleMatrix1D) - Method in class util.CholeskyFactor

Appends the given row to this lower-triangular matrix.

apply(DoubleMatrix1D, DoubleMatrix1D) - Method in class model.BasicCorrelationFunction

Computes the correlation between the outputs at x1 and x2.

apply(DoubleMatrix1D, DoubleMatrix2D) - Method in class model.BasicCorrelationFunction

Computes the correlation between the output at a given input location x1 and those at a set of other input locations x2.

apply(DoubleMatrix1D, DoubleMatrix2D, DoubleMatrix1D) - Method in class model.BasicCorrelationFunction

Same as BasicCorrelationFunction.apply(DoubleMatrix1D, DoubleMatrix2D), but stores the result in the supplied vector.

apply(DoubleMatrix2D, DoubleMatrix2D) - Method in class model.BasicCorrelationFunction

Computes the correlation between outputs at input locations x1 and x2.

apply(DoubleMatrix2D, DoubleMatrix2D, DoubleMatrix2D) - Method in class model.BasicCorrelationFunction

Same as BasicCorrelationFunction.apply(DoubleMatrix2D, DoubleMatrix2D), but stores the result in the supplied matrix.

apply(DoubleMatrix1D, DoubleMatrix1D) - Method in class model.ExponentialCorrelationFunction

apply(DoubleMatrix1D, DoubleMatrix1D) - Method in class model.SECorrelationFunction

apply(DoubleMatrix2D, DoubleMatrix2D, DoubleMatrix2D) - Method in class model.SECorrelationFunction

ApproxModel - Interface in model

Extends the DataFit interface by supporting methods that compute the uncertainty at a point in addition to a value.

ApproxModelToVectorFunction - Class in model

Adapter for converting an ApproxModel to a VectorFunction to be used for multiobjective search in auxiliary problems.

ApproxModelToVectorFunction() - Constructor for class model.ApproxModelToVectorFunction

assign(Hypercube) - Method in class distribution.Uniform

Assigns the bounds of the given Hypercube to this distribution.

assign(CholeskyDecomposition) - Method in class util.CholeskyFactor

Assigns the given Cholesky factor to this CholeskyFactor.

assign(Hypercube) - Method in class util.Hypercube

Assign the properties of another Hypercube to this one.

assign(DoubleMatrix2D) - Method in class util.LowerTriangularMatrix

Assigns the lower triangle of the given matrix to this CholeskyFactor.