Uses of Class
function.BasicScalarFunction

Packages that use BasicScalarFunction

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 BasicScalarFunction in caffeinterface

Subclasses of BasicScalarFunction in caffeinterface

class

CaffeToScalarFunction Simplifies the use of CaffeClass for computation.

Uses of BasicScalarFunction in diviner

Subclasses of BasicScalarFunction in diviner

class	BasicBoundConstrainedDiviner Implements basic functionality for BoundConstrainedDiviner.
class	BasicInequalityConstrainedDiviner Basic diviner for inequality-constrained problems.
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.

Uses of BasicScalarFunction in function

Subclasses of BasicScalarFunction in function

class	BasicDifferentiableScalarFunction A BasicScalarFunction that contains another function, the gradient of the original function.
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	TestFunction1D A simple 1-D test function for making plots etc.
class	VariableDomainScalarFunction Abstract class for scalar functions with variable input dimensionality.
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.

Uses of BasicScalarFunction in model

Subclasses of BasicScalarFunction in model

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.