Uses of Interface
function.Computable

Packages that use Computable

caffeinterface	Provides classes to interface with CAFFE classes, and convert them to ScalarFunctions and VectorFunctions.
diviner	Provides functionality for measuring the level of promise of a design candidates.
function	Provides classes for scalar and vector-valued functions that operate on multi- dimensional double-valued data.
model	Provides classes that handle various kinds of approximation models, data fits, and so on.

Uses of Computable in caffeinterface

Classes in caffeinterface that implement Computable

class	CaffeToScalarFunction Simplifies the use of CaffeClass for computation.
class	CaffeToVectorFunction Provides functionality similar to CaffeToScalarFunction, but for the case where there are multiple outputs computed by CAFFE.

Uses of Computable in diviner

Subinterfaces of Computable in diviner

interface	BoundConstrainedDiviner Computes a figure of merit for sampling at some point, based on information obtained from an ApproxModel.
interface	InequalityConstrainedDiviner Diviner for inequality-constrained problems.
interface	MultiObjectiveDiviner A diviner that uses multiple objectives as measures of promise.

Classes in diviner that implement Computable

class	BasicBoundConstrainedDiviner Implements basic functionality for BoundConstrainedDiviner.
class	BasicInequalityConstrainedDiviner Basic diviner for inequality-constrained problems.
class	BasicMultiObjectiveDiviner
class	ConstrainedEIDiviner Constrained version of the EIDiviner.
class	ConstrainedImprovementDiviner ImprovementDiviner for constrained problems.
class	ConstrainedMultiMetricDiviner Multi-metric diviner for constrained problems.
class	EIDiviner Implements an expected improvement BoundConstrainedDiviner.
class	ImprovementDiviner Focuses on various ways of divining merit using the posterior distribution at a point and some computation of improvement.
class	MultiMetricDiviner Uses multiple figures of merit to compute 'goodness' of a point for sampling.
class	PIDiviner Implements a diviner based on probability of improvement.
class	RiskDiviner Another way of trading performance and risk: quantify the risk as the probability of not achieving a given performance.
class	RiskPerfTradeDiviner BoundConstrainedDiviner that returns mean - k*stdDev.
class	RiskPerfTypeIDiviner Multiobjective diviner that uses mu and sigma as objectives to be simultaneously minimized.
class	RiskPerfTypeIIDiviner Multiobjective diviner that uses mu - k*sigma and sigma as objectives to be simultaneously minimized.
class	RiskPerfTypeIIIDiviner Multiobjective diviner that uses mu - k*sigma and mu as objectives to be simultaneously minimized.
class	RiskPerfTypeIVDiviner Multiobjective diviner that uses mu and -sigma as objectives to be simultaneously minimized.
class	RiskPerfTypeVDiviner Multiobjective diviner that uses mu - k*sigma and mu + k*sigma as objectives to be simultaneously minimized.

Uses of Computable in function

Subinterfaces of Computable in function

interface	ScalarDifferentiableFunction Provides methods for functions that have a derivative.
interface	ScalarFunction This is the basic interface that all objectives, constraints, approximate models, and so on, must implement.
interface	VectorFunction Provides methods for vector functions.

Classes in function that implement Computable

class	BasicDifferentiableScalarFunction A BasicScalarFunction that contains another function, the gradient of the original function.
class	BasicScalarFunction Abstract class to implement most of the functionality of the ScalarFunction interface.
class	BasicVectorFunction Provides methods for functions with vector-valued outputs.
class	EC6 Test problem for multiobjective optimization.
class	Hartman3
class	Hartman3LoFi
class	Hartman6 Hartman6 function, as defined by Dixon and Szego.
class	Hartman6LoFi A fake "lo-fi" version of Hartman6 with a radially symmetric sinusoidal "error".
class	Rosenbrock Extended Rosenbrock function, defined for an even number of input dimensions.
class	RosenbrockLoFi Implements the Rosenbrock function minus one quadratic term.
class	Shekel10 Shekel10 function.
class	Shekel5 Shekel functions, as defined by Dixon and Szego.
class	Shekel7 Shekel7 function.
class	SupersonicWB Uses Alex Haas's CAFFE class to compute several performance metrics for a supersonic wing-body.
class	TestFunction1D A simple 1-D test function for making plots etc.
class	VariableDomainScalarFunction Abstract class for scalar functions with variable input dimensionality.
class	VectorFunctionBuilder Compose a vector function out of individual ScalarFunctions and VectorFunctions.
static class	WaveDragAxisymmetric.AreaRule Function for computing the wave-drag coefficient C_D_w of an axisymmetric body.
static class	WaveDragAxisymmetric.CART3D
static class	WaveDragAxisymmetric.MaxRadiusConstraint Computes the constraint violation for the max-radius case.
static class	WaveDragAxisymmetric.MaxRadiusLoFi Uses a simplistic way to compute the radius constraint violations.
static class	WaveDragAxisymmetric.MaxVolumeConstraint Computes the volume constraint violation of a given body.
static class	WaveDragAxisymmetric.MaxVolumeLoFi
static class	WaveDragAxisymmetric.Panair Runs PANAIR to compute the wave drag of these axisymmetric bodies.
static class	WaveDragAxisymmetric.PanairShevell Extension of WaveDragAxisymmetric.Panair to run on shevell.
class	Woods Woods function, as defined by Dixon and Szego.
class	WoodsLoFi Lo-fi version of Woods problem, with a sinusoidal offset function added.
class	ZDT1 ZDT1 function.
class	ZDT2 ZDT2 function.
class	ZDT3 * ZDT3 function.
class	ZDTFunction Base class for Zitzler-Deb-Thiele multi-objective optimization test problems.

Uses of Computable in model

Subinterfaces of Computable in model

interface	ApproxModel Extends the DataFit interface by supporting methods that compute the uncertainty at a point in addition to a value.
interface	DataFit A DataFit is a ScalarFunction that also provides the VariableInputDimension and VariableBounds interfaces, thereby allowing its DEFAULT_BOUNDS and dimensionality to be modified.
interface	TwoFidelityApproxModel Fits an approximate model to the difference between given data and a low-order approximation of the oracle that generated that data.

Classes in model that implement Computable

class	ApproxModelToVectorFunction Adapter for converting an ApproxModel to a VectorFunction to be used for multiobjective search in auxiliary problems.
class	BasicApproxModel Basic implementation of the methods in ApproxModel.
class	BasicTwoFidelityModel Basic two-fidelity approximation model, using an additive surrogate correction.
class	GPRegression Creation process: Set tau (compulsory), set prior mean and covariance, set bounds, init().
class	PenaltyFunctionModel Computes mean and variance for an external penalty function augmented Lagrangian.