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

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main(String[]) - Static method in class caffeinterface.CaffeClient

main(String[]) - Static method in class caffeinterface.CaffeServer

main(String[]) - Static method in class function.SupersonicWB

main(String[]) - Static method in class function.WaveDragAxisymmetric.AreaRule

Tests the nominal (quadratic) and Sears-Haack bodies on the area-rule analysis.

main(String[]) - Static method in class function.WaveDragAxisymmetric.CART3D

main(String[]) - Static method in class function.WaveDragAxisymmetric.MaxRadiusConstraint

Tests the constraint violations of the quadratic and Sears-Haack bodies.

main(String[]) - Static method in class function.WaveDragAxisymmetric.MaxVolumeConstraint

Tests the Sears-Haack (radius-constraint!!!) and quadratic bodies.

main(String[]) - Static method in class function.WaveDragAxisymmetric.MaxVolumeLoFi

main(String[]) - Static method in class function.WaveDragAxisymmetric.Panair

Tests the Sears-Haack and quadratic bodies.

main(String[]) - Static method in class function.WaveDragAxisymmetric.PanairShevell

Tests the usual three bodies.

main(String[]) - Static method in class iterator.ISIS

Runs a test problem.

main(String[]) - Static method in class iterator.MultiRunner

main(String[]) - Static method in class iterator.NSGA2

main(String[]) - Static method in class iterator.PCGA

Runs some test problem.

main(String[]) - Static method in class iterator.Runner

main(String[]) - Static method in class model.GPRegression

main(String[]) - Static method in class util.Cart3DRunner

Test run of whatever PASS-style XML file is in the scratch directory.

main(String[]) - Static method in class util.CommandLine

main(String[]) - Static method in class util.PanairRunnerLinux

Runs PANAIR interpreting the first argument in the list as a PANAIR input file.

main(String[]) - Static method in class util.PanairRunnerShevell

Runs PANAIR interpreting the first argument as an input filename.

makeAuxProblem() - Method in class iterator.TwoStageAlgoBuilder

Makes the auxiliary optimization problem.

makeBounds() - Static method in class function.BasicScalarFunction

makeBounds() - Static method in class function.BasicVectorFunction

makeBounds() - Static method in class function.EC6

makeBounds() - Static method in class function.ZDTFunction

makeChildren(DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix1D) - Method in class iterator.BasicRealEncodedGA

Creates children from the given parents and performs mutations, restricted to problem bounds.

makeDataBlock(DoubleMatrix2D) - Method in class problem.BasicOptimizationProblem

makeDataBlock(DoubleMatrix2D) - Method in interface problem.OptimizationProblem

Constructs and returns a DataBlock corresponding to the given set of inputs, specified row-wise in a DoubleMatrix2D.

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

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

makeDataPoint(double[]) - Method in class problem.BasicOptimizationProblem

makeDataPoint(double[]) - Method in interface problem.OptimizationProblem

Constructs and returns a DataPoint corresponding to a given input, containing the associated objective values and constraint violations.

makeDataPoint(double[]) - Method in class problem.VectorFunctionToProblem

makeDoubleMatrix(ComputeServiceProtos.Matrix) - Static method in class caffeinterface.CaffeComputeRpc

Converts the given protocol buffer ComputeServiceProtos.Matrix into a DoubleMatrix2D in colt.

makeInitialSamples(int) - Method in class iterator.AbstractInitialSampleBasedOptimizer

makeInitialSamples(int) - Method in interface iterator.InitialSamplesSettable

Makes the desired number of initial samples.

makeInitialSamples(int) - Method in class iterator.TwoStageOptimizer

makeMaxRadiusConstraint(double, double, double, WaveDragAxisymmetric.FIDELITY) - Static method in class function.WaveDragAxisymmetric

Constructs a max-radius constraint.

makeMaxRadiusProblem(double, double, double, WaveDragAxisymmetric.FIDELITY, boolean) - Static method in class function.WaveDragAxisymmetric

Constructs a max-radius-constrained problem.

makeMaxVolumeProblem(double, double, double, WaveDragAxisymmetric.FIDELITY, boolean) - Static method in class function.WaveDragAxisymmetric

Constructs an inequality-constrained problem to address the max enclosed volume case.

makeNextSample() - Method in class distribution.BasicMultivariateDistribution

makeNextSample(int) - Method in class distribution.BasicMultivariateDistribution

makeNextSample() - Method in interface distribution.MultivariateDistribution

Creates and returns a vector holding the next random sample.

makeNextSample(int) - Method in interface distribution.MultivariateDistribution

Creates and returns a matrix holding the next numSamples random samples.

makeObjective(double, double, double, WaveDragAxisymmetric.FIDELITY, boolean) - Static method in class function.WaveDragAxisymmetric

Returns a ScalarFunction that is the low-fidelity computation of the wave drag for axisymmetric bodies of the given length flying at the given Mach number.

makeObjectiveDiviner() - Method in class diviner.ConstrainedEIDiviner

makeObjectiveDiviner() - Method in class diviner.ConstrainedImprovementDiviner

Constructs and returns an diviner for the objective function.

makeObjectiveDiviner() - Method in class diviner.ConstrainedMultiMetricDiviner

makeOutputs(DoubleMatrix2D) - Method in class problem.BasicBoundConstrainedProblem

makeOutputs(DoubleMatrix2D) - Method in class problem.BasicMultiObjectiveProblem

makeOutputs(DoubleMatrix2D) - Method in class problem.BasicOptimizationProblem

makeOutputs(DoubleMatrix2D) - Method in class problem.VectorFunctionToProblem

makeProblemContainer(double, double, double, WaveDragAxisymmetric.PROBLEM_TYPE) - Static method in class function.WaveDragAxisymmetric

Constructs a "container" body that holds many constants that are shared by multifidelity instances of the same problem.

makeProtoMatrix(DoubleMatrix2D) - Static method in class caffeinterface.CaffeComputeRpc

Converts a colt DoubleMatrix2D into a protocol buffer ComputeServiceProtos.Matrix.

makeUncertaintyEstimator() - Method in class model.BasicApproxModel

makeUncertaintyEstimator() - Method in class model.GPRegression

makeUncertaintyEstimator() - Method in class model.PenaltyFunctionModel

makeVolumeConstraint(double, double, double, WaveDragAxisymmetric.FIDELITY) - Static method in class function.WaveDragAxisymmetric

Constructs a volume constraint function.

maskWith(Hypercube) - Method in class distribution.Uniform

Modifies the bounds of this distribution to be the intersection of the current bounds and the bounds of the given Hypercube.

maskWith(Hypercube) - Method in class util.Hypercube

Uses the given Hypercube as a mask for this one: only points inside both will count.

MatrixUtilities - Class in util

Utilities for removing entries from vectors, rows and columns from matrices.

MatrixUtilities() - Constructor for class util.MatrixUtilities

MESH_COUNT - Static variable in class function.WaveDragAxisymmetric.MaxVolumeConstraint

MultiMetricDiviner - Class in diviner

Uses multiple figures of merit to compute 'goodness' of a point for sampling.

MultiMetricDiviner() - Constructor for class diviner.MultiMetricDiviner

Default constructor.

MultiobjectiveComparator - Class in data

MultiobjectiveComparator() - Constructor for class data.MultiobjectiveComparator

MultiObjectiveDiviner - Interface in diviner

A diviner that uses multiple objectives as measures of promise.

MultiObjectiveProblem - Interface in problem

Interface for multi-objective problems.

MultiPointRiskPerfAlgoBuilder<T extends BasicBoundConstrainedProblem,V extends MultiObjectiveDiviner,W extends NSGA2> - Class in iterator

MultiPointRiskPerfAlgoBuilder() - Constructor for class iterator.MultiPointRiskPerfAlgoBuilder

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

Multiobjective two-stage optimizer that can evaluate multiple points in a single iteration.

MultiPointRiskPerfOptimizer() - Constructor for class iterator.MultiPointRiskPerfOptimizer

MultiRunner - Class in iterator

Runs an iterable algorithm configured in the specified spring-format XML files multiple times, as specified by the beginning and ending iterations.

MultiRunner() - Constructor for class iterator.MultiRunner

MultivariateDistribution - Interface in distribution

Basic functionality for multivariate continuous random variables.

MultivariateMixture - Interface in distribution

Provides a mixture distribution by treating it as a list of MultivariateDistributions.

MultivariateNormal - Class in distribution

Implements a multivariate normal distribution by extending BasicMultivariateDistribution.

MultivariateNormal() - Constructor for class distribution.MultivariateNormal