ROL Namespace Reference

Namespaces
	details
	ROL
	InteriorPoint
	StringList
	Finite_Difference_Arrays
	Exception
	ZOO

Classes
class	ElementwiseVector
	Intermediate abstract class which does not require users implements plus, set, scale, axpy, norm, dot, or zero if they implement the three elementwise functions: applyUnary, applyBinary, and reduce. More...
class	InactiveSet_PrimalVector
	Defines the a Vector which has a diagonally scaled dot product that neglects active set elements Used to simplify Semi-smooth Newton method implementation. More...
class	InactiveSet_DualVector
	Defines the a Vector which has a diagonally scaled dot product that neglects active set elements Used to simplify Semi-smooth Newton method implementation. More...
class	PartitionedVector
	Defines the linear algebra of vector space on a generic partitioned vector. More...
struct	VectorFunctionCalls
class	ProfiledVector
	By keeping a pointer to this in a derived Vector class, a tally of all methods is kept for profiling function calls. More...
class	RieszPrimalVector
class	RieszDualVector
class	PrimalScaledStdVector
	Provides the std::vector implementation of the ROL::Vector interface that handles scalings in the inner product. Also see ROL::DualScaledStdVector. More...
class	DualScaledStdVector
	Provides the std::vector implementation of the ROL::Vector interface that handles scalings in the inner product. Also see ROL::PrimalScaledStdVector. More...
class	PrimalScaledVector
	Provides the implementation of the ROL::Vector interface that handles scalings in the inner product. A more generic version of ROL::PrimalScaledStdVector. More...
class	DualScaledVector
	Provides the implementation of the ROL::Vector interface that handles scalings in the inner product. A more generic version of ROL::PrimalScaledStdVector. More...
class	SingletonVector
class	StdVector
	Provides the ROL::Vector interface for scalar values, to be used, for example, with scalar constraints. More...
class	Vector
	Defines the linear algebra or vector space interface. More...
class	Vector_SimOpt
	Defines the linear algebra or vector space interface for simulation-based optimization. More...
class	BoundConstraint
	Provides the interface to apply upper and lower bound constraints. More...
class	BoundConstraint_Partitioned
	A composite composite BoundConstraint formed from bound constraints on subvectors of a PartitionedVector. More...
class	Bounds
	Provides the elementwise interface to apply upper and lower bound constraints. More...
class	BinaryConstraint
	Implements an equality constraint function that evaluates to zero on the surface of a bounded parallelpiped and is positive in the interior. More...
class	BoundToConstraint
	Provides an implementation for bound constraints. More...
class	Constraint
	Defines the general constraint operator interface. More...
class	Constraint_Partitioned
	Has both inequality and equality constraints. Treat inequality constraint as equality with slack variable. More...
class	ConstraintFromObjective
	Creates a constraint from an objective function and a offset value. More...
class	LinearConstraint
	Provides the interface to evaluate linear constraints. More...
class	LowerBoundToConstraint
	Provides an implementation for lower bound constraints. More...
class	ScalarLinearConstraint
	This equality constraint defines an affine hyperplane. More...
class	UpperBoundToConstraint
	Provides an implementation for upper bound constraints. More...
class	Constraint_DynamicState
class	DynamicConstraint
	Defines the time-dependent constraint operator interface for simulation-based optimization. More...
struct	DynamicConstraintCheck
class	DynamicFunction
	Provides update interface, casting and vector management to DynamicConstraint and DynamicObjective. More...
class	DynamicObjective
	Defines the time-dependent objective function interface for simulation-based optimization. Computes time-local contributions of value, gradient, Hessian-vector product etc to a larger composite objective defined over the simulation time. In contrast to other objective classes Objective_TimeSimOpt has a default implementation of value which returns zero, as time-dependent simulation based optimization problems may have an objective value which depends only on the final state of the system. More...
struct	DynamicObjectiveCheck
class	DynamicTrackingObjective
	Defines the time-local contribution to a quadratic tracking objective. More...
class	NonlinearLeastSquaresObjective_Dynamic
	Provides the interface to evaluate nonlinear least squares objective functions. More...
class	ReducedDynamicObjective
	Defines the reduced time-dependent objective function interface for simulation-based optimization. More...
class	TimeStamp
	Contains local time step information. More...
class	NonlinearLeastSquaresObjective
	Provides the interface to evaluate nonlinear least squares objective functions. More...
class	Objective_FSsolver
class	CompositeObjective
	Provides the interface to evaluate composite objective functions. More...
class	LinearCombinationObjective
class	LinearObjective
	Provides the interface to evaluate linear objective functions. More...
class	Objective
	Provides the interface to evaluate objective functions. More...
class	ObjectiveFromConstraint
	Form an objective function from a ROL::Constraint and a vector in the dual constraint space \(\lambda\in \mathcal{C}^\ast\). More...
class	QuadraticObjective
	Provides the interface to evaluate quadratic objective functions. More...
class	SlacklessObjective
	This class strips out the slack variables from objective evaluations to create the new objective \( F(x,s) = f(x) \). More...
class	BlockOperator
	Provides the interface to apply a block operator to a partitioned vector. More...
class	BlockOperator2
	Provides the interface to apply a 2x2 block operator to a partitioned vector. More...
class	BlockOperator2Determinant
	Provides the interface to the block determinant of a 2x2 block operator More...
class	BlockOperator2Diagonal
	Provides the interface to apply a 2x2 block diagonal operator to a partitioned vector. More...
class	BlockOperator2UnitLower
	Provides the interface to apply a 2x2 block unit lower operator to a partitioned vector. More...
class	BlockOperator2UnitUpper
	Provides the interface to apply a 2x2 block unit upper operator to a partitioned vector. More...
class	DiagonalOperator
	Provides the interface to apply a diagonal operator which acts like elementwise multiplication when apply() is used and elementwise division when applyInverse() is used. More...
class	DyadicOperator
	Interface to apply a dyadic operator to a vector. More...
class	HouseholderReflector
	Provides the interface to create a Householder reflector operator, that when applied to a vector x, produces a vector parallel to y. More...
class	IdentityOperator
	Multiplication by unity. More...
class	LinearOperator
	Provides the interface to apply a linear operator. More...
class	LinearOperatorFromConstraint
	A simple wrapper which allows application of constraint Jacobians through the LinearOperator interface. More...
class	LinearOperatorProduct
	Provides the interface to the sequential application of linear operators. More...
class	LinearOperatorSum
	Provides the interface to sum of linear operators applied to a vector More...
class	NullOperator
	Multiplication by zero. More...
class	SchurComplement
	Given a 2x2 block operator, perform the Schur reduction and return the decoupled system components. More...
class	ConstraintManager
	Provides a wrapper for multiple constraints. More...
class	ObjectiveMMA
	Provides the interface to to Method of Moving Asymptotes Objective function. More...
class	SimController
class	BoundConstraint_SimOpt
class	CompositeConstraint_SimOpt
	Defines a composite equality constraint operator interface for simulation-based optimization. More...
class	CompositeObjective_SimOpt
	Provides the interface to evaluate simulation-based composite objective functions. More...
class	Constraint_SerialSimOpt
	Unifies the constraint defined on a single time step that are defined through the Constraint_TimeSimOpt interface into a SimOpt constraint for all time. Primarily intended for use in testing the parallel-in-time implementation. More...
class	Constraint_SimOpt
	Defines the constraint operator interface for simulation-based optimization. More...
class	Constraint_State
class	Constraint_TimeSimOpt
	Defines the time dependent constraint operator interface for simulation-based optimization. More...
class	LinearCombinationObjective_SimOpt
class	NonlinearLeastSquaresObjective_SimOpt
	Provides the interface to evaluate nonlinear least squares objective functions. More...
class	Objective_SerialSimOpt
class	Objective_SimOpt
	Provides the interface to evaluate simulation-based objective functions. More...
class	Objective_TimeSimOpt
	Defines the time-dependent objective function interface for simulation-based optimization. Computes time-local contributions of value, gradient, Hessian-vector product etc to a larger composite objective defined over the simulation time. In contrast to other objective classes Objective_TimeSimOpt has a default implementation of value which returns zero, as time-dependent simulation based optimization problems may have an objective value which depends only on the final state of the system. More...
class	Reduced_Constraint_SimOpt
class	Reduced_Objective_SimOpt
class	Sketch
	Provides an interface for randomized sketching. More...
class	StdBoundConstraint
class	StdConstraint
	Defines the equality constraint operator interface for StdVectors. More...
class	StdLinearOperator
	Provides the std::vector implementation to apply a linear operator, which is a std::vector representation of column-stacked matrix. More...
class	StdObjective
	Specializes the ROL::Objective interface for objective functions that operate on ROL::StdVector's. More...
class	StdTridiagonalOperator
	Provides the std::vector implementation to apply a linear operator, which encapsulates a tridiagonal matrix. More...
class	StepFactory
class	StatusTestFactory
class	Algorithm
	Provides an interface to run optimization algorithms. More...
class	OptimizationProblem
class	OptimizationSolver
	Provides a simplified interface for solving a wide range of optimization problems. More...
class	BundleStatusTest
class	CombinedStatusTest
	Provides an interface to check two status tests of optimization algorithms. More...
class	ConstraintStatusTest
	Provides an interface to check status of optimization algorithms for problems with equality constraints. More...
class	FletcherStatusTest
	Provides an interface to check status of optimization algorithms for problems with equality constraints. More...
class	StatusTest
	Provides an interface to check status of optimization algorithms. More...
class	AugmentedLagrangian
	Provides the interface to evaluate the augmented Lagrangian. More...
class	AugmentedLagrangian_SimOpt
	Provides the interface to evaluate the SimOpt augmented Lagrangian. More...
class	QuadraticPenalty
	Provides the interface to evaluate the quadratic constraint penalty. More...
class	QuadraticPenalty_SimOpt
	Provides the interface to evaluate the quadratic SimOpt constraint penalty. More...
class	Reduced_AugmentedLagrangian_SimOpt
	Provides the interface to evaluate the reduced SimOpt augmented Lagrangian. More...
class	Bundle
	Provides the interface for and implements a bundle. More...
class	Bundle_AS
	Provides the interface for and implements an active set bundle. More...
class	Bundle_TT
	Provides the interface for and implements a bundle. The semidefinite quadratic subproblem is solved using TT algorithm by Antonio Frangioni (1996). More...
class	BoundFletcher
class	Fletcher
class	FletcherBase
class	InteriorPointPenalty
	Provides the interface to evaluate the Interior Pointy log barrier penalty function with upper and lower bounds on some elements. More...
class	LogBarrierObjective
	Log barrier objective for interior point methods. More...
class	ObjectiveFromBoundConstraint
	Create a penalty objective from upper and lower bound vectors. More...
class	PrimalDualInteriorPointBlock11
class	PrimalDualInteriorPointBlock12
class	PrimalDualInteriorPointBlock21
class	PrimalDualInteriorPointBlock22
class	PrimalDualInteriorPointResidual
	Symmetrized form of the KKT operator for the Type-EB problem with equality and bound multipliers. More...
class	PrimalDualSystemStep
	Provides the interface to compute approximate solutions to 2x2 block systems arising from primal-dual interior point methods. More...
class	ConjugateGradients
	Provides definitions of the Conjugate Gradient solver. More...
class	ConjugateResiduals
	Provides definition of the Conjugate Residual solver. More...
class	GMRES
	Preconditioned GMRES solver. More...
class	Krylov
	Provides definitions for Krylov solvers. More...
class	Lanczos
	Interface for computing the Lanczos vectors and approximate solutions to symmetric indefinite linear systems. More...
class	BackTracking
	Implements a simple back tracking line search. More...
class	Bisection
	Implements a bisection line search. More...
class	Brents
	Implements a Brent's method line search. More...
class	CubicInterp
	Implements cubic interpolation back tracking line search. More...
class	GoldenSection
	Implements a golden section line search. More...
class	IterationScaling
	Provides an implementation of iteration scaled line search. More...
class	LineSearch
	Provides interface for and implements line searches. More...
class	PathBasedTargetLevel
	Provides an implementation of path-based target leve line search. More...
class	ScalarMinimizationLineSearch
	Implements line search methods that attempt to minimize the scalar function \(\phi(t) := f(x+ts)\). More...
class	MoreauYosidaPenalty
	Provides the interface to evaluate the Moreau-Yosida penalty function. More...
class	AugmentedLagrangianStep
	Provides the interface to compute augmented Lagrangian steps. More...
class	BundleStep
	Provides the interface to compute bundle trust-region steps. More...
class	CompositeStep
	Implements the computation of optimization steps with composite-step trust-region methods. More...
class	FletcherStep
	Provides the interface to compute Fletcher steps. More...
class	GradientStep
	Provides the interface to compute optimization steps with the gradient descent method globalized using line search. More...
class	InteriorPointStep
class	LineSearchStep
	Provides the interface to compute optimization steps with line search. More...
class	MoreauYosidaPenaltyStep
	Implements the computation of optimization steps using Moreau-Yosida regularized bound constraints. More...
class	NewtonKrylovStep
	Provides the interface to compute optimization steps with projected inexact Newton's method using line search. More...
class	NewtonStep
	Provides the interface to compute optimization steps with Newton's method globalized using line search. More...
class	NonlinearCGStep
	Provides the interface to compute optimization steps with nonlinear CG. More...
class	PrimalDualActiveSetStep
	Implements the computation of optimization steps with the Newton primal-dual active set method. More...
class	ProjectedNewtonKrylovStep
	Provides the interface to compute optimization steps with projected inexact ProjectedNewton's method using line search. More...
class	ProjectedNewtonStep
	Provides the interface to compute optimization steps with projected Newton's method using line search. More...
class	ProjectedSecantStep
	Provides the interface to compute optimization steps with projected secant method using line search. More...
class	SecantStep
	Provides the interface to compute optimization steps with a secant method. More...
class	Step
	Provides the interface to compute optimization steps. More...
class	TrustRegionStep
	Provides the interface to compute optimization steps with trust regions. More...
class	BarzilaiBorwein
	Provides definitions for Barzilai-Borwein operators. More...
class	lBFGS
	Provides definitions for limited-memory BFGS operators. More...
class	lDFP
	Provides definitions for limited-memory DFP operators. More...
class	lSR1
	Provides definitions for limited-memory SR1 operators. More...
struct	SecantState
class	Secant
	Provides interface for and implements limited-memory secant operators. More...
class	CauchyPoint
	Provides interface for the Cauchy point trust-region subproblem solver. More...
class	ColemanLiModel
	Provides the interface to evaluate interior trust-region model functions from the Coleman-Li bound constrained trust-region algorithm. More...
class	ConicApproximationModel
class	DogLeg
	Provides interface for dog leg trust-region subproblem solver. More...
class	DoubleDogLeg
	Provides interface for the double dog leg trust-region subproblem solver. More...
class	KelleySachsModel
	Provides the interface to evaluate projected trust-region model functions from the Kelley-Sachs bound constrained trust-region algorithm. More...
class	LinMore
	Provides interface for truncated CG trust-region subproblem solver. More...
class	LinMoreModel
	Provides the interface to evaluate projected trust-region model functions from the Kelley-Sachs bound constrained trust-region algorithm. More...
class	TruncatedCG
	Provides interface for truncated CG trust-region subproblem solver. More...
class	TrustRegion
	Provides interface for and implements trust-region subproblem solvers. More...
class	TrustRegionModel
	Provides the interface to evaluate trust-region model functions. More...
class	LinearRegression
	Provides the interface to construct linear regression problem. More...
class	ProgressiveHedging
	Provides the interface to solve a stochastic program using progressive hedging. More...
class	Arcsine
class	Beta
class	Cauchy
class	Dirac
class	Distribution
class	Exponential
class	Gamma
class	Gaussian
class	Gumbel
class	Kumaraswamy
class	Laplace
class	Logistic
class	Parabolic
class	RaisedCosine
class	Smale
class	Triangle
class	TruncatedExponential
class	TruncatedGaussian
class	Uniform
class	ExpectationQuad
	Provides a general interface for risk and error measures generated through the expectation risk quadrangle. More...
class	GenMoreauYosidaCVaR
class	LogExponentialQuadrangle
	Provides an interface for the entropic risk using the expectation risk quadrangle. More...
class	LogQuantileQuadrangle
	Provides an interface for the conditioanl entropic risk using the expectation risk quadrangle. More...
class	MeanVarianceQuadrangle
	Provides an interface for the mean plus variance risk measure using the expectation risk quadrangle. More...
class	MoreauYosidaCVaR
	Provides an interface for a smooth approximation of the conditional value-at-risk. More...
class	QuantileQuadrangle
	Provides an interface for a convex combination of the expected value and the conditional value-at-risk using the expectation risk quadrangle. More...
class	SmoothedWorstCaseQuadrangle
	Provides an interface for a smoothed version of the worst-case scenario risk measure using the expectation risk quadrangle. More...
class	TruncatedMeanQuadrangle
class	PH_bPOEObjective
	Provides the interface for the progressive hedging probability objective. More...
class	PH_DeviationObjective
	Provides the interface for the progressive hedging deviation objective. More...
class	PH_ErrorObjective
	Provides the interface for the progressive hedging error objective. More...
class	PH_Objective
	Provides the interface for the progressive hedging objective. More...
class	PH_ProbObjective
	Provides the interface for the progressive hedging probability objective. More...
class	PH_RegretObjective
	Provides the interface for the progressive hedging regret objective. More...
class	PH_RiskObjective
	Provides the interface for the progressive hedging risk objective. More...
class	ExpectationQuadDeviation
class	ExpectationQuadError
	Provides a general interface for error measures generated through the expectation risk quadrangle. More...
class	BPOE
	Provides the implementation of the buffered probability of exceedance. More...
class	SmoothedPOE
	Provides the implementation of the smoothed probability of exceedance. More...
class	ExpectationQuadRegret
	Provides a general interface for regret measures generated through the expectation risk quadrangle. More...
class	Chi2Divergence
	Provides an interface for the chi-squared-divergence distributionally robust expectation. More...
class	FDivergence
	Provides a general interface for the F-divergence distributionally robust expectation. More...
class	CoherentEntropicRisk
	Provides the interface for the coherent entropic risk measure. More...
class	ConvexCombinationRiskMeasure
	Provides an interface for a convex combination of risk measures. More...
class	CVaR
	Provides an interface for a convex combination of the expected value and the conditional value-at-risk. More...
class	EntropicRisk
	Provides an interface for the entropic risk. More...
class	ExpectationQuadRisk
class	HMCR
	Provides an interface for a convex combination of the expected value and the higher moment coherent risk measure. More...
class	KLDivergence
	Provides an interface for the Kullback-Leibler distributionally robust expectation. More...
class	MeanDeviation
	Provides an interface for the mean plus a sum of arbitrary order deviations. More...
class	MeanDeviationFromTarget
	Provides an interface for the mean plus a sum of arbitrary order deviations from targets. More...
class	MeanSemiDeviation
	Provides an interface for the mean plus upper semideviation of order 1. More...
class	MeanSemiDeviationFromTarget
class	MeanVariance
	Provides an interface for the mean plus a sum of arbitrary order variances. More...
class	MeanVarianceFromTarget
	Provides an interface for the mean plus a sum of arbitrary order variances from targets. More...
class	MixedCVaR
	Provides an interface for a convex combination of conditional value-at-risks. More...
class	QuantileRadius
class	ChebyshevSpectral
	Provides an interface for the Chebyshev-Spectral risk measure. More...
class	SecondOrderCVaR
	Provides an interface for the risk measure associated with the super quantile quadrangle. More...
class	SpectralRisk
	Provides an interface for spectral risk measures. More...
class	RandVarFunctional
	Provides the interface to implement any functional that maps a random variable to a (extended) real number. More...
class	SampledScalar
class	SampledVector
class	StochasticConstraint
class	StochasticObjective
class	AbsoluteValue
class	AlmostSureConstraint
class	PlusFunction
class	PositiveFunction
class	RegressionError
	Provides the interface to evaluate linear regression error. More...
class	RiskBoundConstraint
class	RiskLessConstraint
class	RiskLessObjective
class	RiskMeasure
	Provides the interface to implement risk measures. More...
class	RiskNeutralConstraint
class	RiskNeutralObjective
class	SimulatedBoundConstraint
	A BoundConstraint formed from a single bound constraint replacated according to a SampleGenerator. More...
class	SimulatedConstraint
class	SimulatedObjective
class	SimulatedObjectiveCVaR
class	BatchManager
class	MonteCarloGenerator
class	SampleGenerator
class	SROMGenerator
class	UserInputGenerator
class	PrimalAtomVector
class	DualAtomVector
class	AtomVector
	Provides the std::vector implementation of the ROL::Vector interface. More...
class	BatchStdVector
	Provides the std::vector implementation of the ROL::Vector interface. More...
class	CDFObjective
class	MomentObjective
class	PointwiseCDFObjective
class	PrimalProbabilityVector
class	DualProbabilityVector
class	ProbabilityVector
	Provides the std::vector implementation of the ROL::Vector interface. More...
class	SROMVector
	Provides the std::vector implementation of the ROL::Vector interface. More...
class	PH_StatusTest
	Provides an interface to check status of the progressive hedging algorithm. More...
class	RiskVector
class	PrimalSimulatedVector
class	DualSimulatedVector
class	SimulatedVector
	Defines the linear algebra of a vector space on a generic partitioned vector where the individual vectors are distributed in batches defined by ROL::BatchManager. This is a batch-distributed version of ROL::PartitionedVector. More...
class	ProjectedObjective
struct	ScalarTraits_Magnitude
struct	ScalarTraits_Magnitude< std::complex< Real > >
struct	ScalarTraits
struct	AlgorithmState
	State for algorithm class. Will be used for restarts. More...
struct	StepState
	State for step class. Will be used for restarts. More...
struct	removeSpecialCharacters
struct	TypeCaster
struct	TypeCaster< Real, std::complex< Real > >
struct	TypeCaster< double, float >
class	TestProblem
class	VectorClone
	Container for wrapping a reusable cloned vector. Declaring an object of this type as a class member variable will decrease the number of clones needed as memory need only be allocated once in the lifetime of the host object. Verifies that member and argument types and dimensions agree when called. More...
class	VectorCloneMap
	Container for wrapping a collection of uniquely-named reusable cloned vectors, which in are stored in a map. Uses string-valued ids for keys by default. More...
class	VectorWorkspace
	Provides a "smart" cloning manager to be used a member variable in a class and called in the member function of the same class. More...
class	WrappedVector
	Provides an interface layer which encapulates a pointer to a ROL::Vector and has the default behavior of calling its member Ptr<Vector> object. Makes creating derived classes with this idiom simpler as they need only override the methods where the desired implementation differs from the member Ptr<Vector>. For example, vectors which have a diagonal scaling that defines their inner product and dual spaces can derive from this class need overload only the methods basis, clone, dual, and dot. More...
class	SerialConstraint
	Evaluates ROL::DynamicConstraint over a sequential set of time intervals. More...
class	StdLinearOperatorFactory
	Creates StdLinearOperator objects which wrap random matrices of the desired size and property More...
class	PenalizedObjective
	Adds barrier term to generic objective. More...
class	PrimalDualInteriorPointReducedResidual
	Reduced form of the Primal Dual Interior Point residual and the action of its Jacobian. More...
class	MINRES
	Implements the MINRES algorithm for solving symmetric indefinite systems. More...
class	SemismoothNewtonDualModel
	Implements the dual variable model function for a semismooth Newton step. More...

Typedefs
template<typename Real >
using	SerialConstraint = details::SerialConstraint< Real >

Enumerations
enum	ETrustRegion {   TRUSTREGION_CAUCHYPOINT = 0, TRUSTREGION_TRUNCATEDCG, TRUSTREGION_DOGLEG, TRUSTREGION_DOUBLEDOGLEG,   TRUSTREGION_LINMORE, TRUSTREGION_LAST }
	Enumeration of trust-region solver types. More...
enum	ETrustRegionModel { TRUSTREGION_MODEL_COLEMANLI = 0, TRUSTREGION_MODEL_KELLEYSACHS, TRUSTREGION_MODEL_LINMORE, TRUSTREGION_MODEL_LAST }
	Enumeration of trust-region model types. More...
enum	ETrustRegionFlag {   TRUSTREGION_FLAG_SUCCESS = 0, TRUSTREGION_FLAG_POSPREDNEG, TRUSTREGION_FLAG_NPOSPREDPOS, TRUSTREGION_FLAG_NPOSPREDNEG,   TRUSTREGION_FLAG_QMINSUFDEC, TRUSTREGION_FLAG_NAN, TRUSTREGION_FLAG_UNDEFINED }
	Enumation of flags used by trust-region solvers. More...
enum	EDistribution {   DISTRIBUTION_ARCSINE = 0, DISTRIBUTION_BETA, DISTRIBUTION_CAUCHY, DISTRIBUTION_DIRAC,   DISTRIBUTION_EXPONENTIAL, DISTRIBUTION_GAMMA, DISTRIBUTION_GAUSSIAN, DISTRIBUTION_KUMARASWAMY,   DISTRIBUTION_LAPLACE, DISTRIBUTION_LOGISTIC, DISTRIBUTION_PARABOLIC, DISTRIBUTION_RAISEDCOSINE,   DISTRIBUTION_SMALE, DISTRIBUTION_TRIANGLE, DISTRIBUTION_TRUNCATEDEXPONENTIAL, DISTRIBUTION_TRUNCATEDGAUSSIAN,   DISTRIBUTION_UNIFORM, DISTRIBUTION_LAST }
enum	EDeviationMeasure {   DEVIATIONMEASURE_MEANVARIANCEQUADRANGLE = 0, DEVIATIONMEASURE_TRUNCATEDMEANQUADRANGLE, DEVIATIONMEASURE_QUANTILEQUADRANGLE, DEVIATIONMEASURE_MOREAUYOSIDACVAR,   DEVIATIONMEASURE_GENMOREAUYOSIDACVAR, DEVIATIONMEASURE_LOGEXPONENTIALQUADRANGLE, DEVIATIONMEASURE_LOGQUANTILEQUADRANGLE, DEVIATIONMEASURE_SMOOTHEDWORSTCASEQUADRANGLE,   DEVIATIONMEASURE_LAST }
enum	EErrorMeasure {   ERRORMEASURE_MEANVARIANCEQUADRANGLE = 0, ERRORMEASURE_TRUNCATEDMEANQUADRANGLE, ERRORMEASURE_QUANTILEQUADRANGLE, ERRORMEASURE_MOREAUYOSIDACVAR,   ERRORMEASURE_GENMOREAUYOSIDACVAR, ERRORMEASURE_LOGEXPONENTIALQUADRANGLE, ERRORMEASURE_LOGQUANTILEQUADRANGLE, ERRORMEASURE_SMOOTHEDWORSTCASEQUADRANGLE,   ERRORMEASURE_LAST }
enum	EProbability { PROBABILITY_BPOE = 0, PROBABILITY_SMOOTHEDPOE, PROBABILITY_LAST }
enum	ERegretMeasure {   REGRETMEASURE_MEANABSOLUTELOSS = 0, REGRETMEASURE_MOREAUYOSIDAMEANABSOLUTELOSS, REGRETMEASURE_GENMOREAUYOSIDAMEANABSOLUTELOSS, REGRETMEASURE_EXPONENTIAL,   REGRETMEASURE_MEANL2, REGRETMEASURE_TRUNCATEDMEAN, REGRETMEASURE_LOGQUANTILE, REGRETMEASURE_SMOOTHEDWORSTCASE,   REGRETMEASURE_LAST }
enum	ERiskMeasure {   RISKMEASURE_CVAR = 0, RISKMEASURE_MOREAUYOSIDACVAR, RISKMEASURE_GENMOREAUYOSIDACVAR, RISKMEASURE_MIXEDCVAR,   RISKMEASURE_SPECTRALRISK, RISKMEASURE_SECONDORDERCVAR, RISKMEASURE_CHEBYSHEVSPECTRAL, RISKMEASURE_QUANTILERADIUS,   RISKMEASURE_HMCR, RISKMEASURE_ENTROPICRISK, RISKMEASURE_COHERENTENTROPICRISK, RISKMEASURE_MEANSEMIDEVIATION,   RISKMEASURE_MEANSEMIDEVIATIONFROMTARGET, RISKMEASURE_MEANDEVIATIONFROMTARGET, RISKMEASURE_MEANDEVIATION, RISKMEASURE_MEANVARIANCEFROMTARGET,   RISKMEASURE_MEANVARIANCE, RISKMEASURE_TRUNCATEDMEAN, RISKMEASURE_LOGQUANTILE, RISKMEASURE_SMOOTHEDWORSTCASE,   RISKMEASURE_LOGEXPONENTIAL, RISKMEASURE_SAFETYMARGIN, RISKMEASURE_CHI2DIVERGENCE, RISKMEASURE_KLDIVERGENCE,   RISKMEASURE_LAST }
enum	EAbsoluteValue {   ABSOLUTEVALUE_TRUE = 0, ABSOLUTEVALUE_SQUAREROOT, ABSOLUTEVALUE_SQRTDENOM, ABSOLUTEVALUE_C2,   ABSOLUTEVALUE_LAST }
enum	EExitStatus {   EXITSTATUS_CONVERGED = 0, EXITSTATUS_MAXITER, EXITSTATUS_STEPTOL, EXITSTATUS_NAN,   EXITSTATUS_USERDEFINED, EXITSTATUS_LAST }
	Enum for algorithm termination. More...
enum	EProblem {   TYPE_U = 0, TYPE_B, TYPE_E, TYPE_EB,   TYPE_LAST }
enum	EStep {   STEP_AUGMENTEDLAGRANGIAN = 0, STEP_BUNDLE, STEP_COMPOSITESTEP, STEP_LINESEARCH,   STEP_MOREAUYOSIDAPENALTY, STEP_PRIMALDUALACTIVESET, STEP_TRUSTREGION, STEP_INTERIORPOINT,   STEP_FLETCHER, STEP_LAST }
	Enumeration of step types. More...
enum	EDescent {   DESCENT_STEEPEST = 0, DESCENT_NONLINEARCG, DESCENT_SECANT, DESCENT_NEWTON,   DESCENT_NEWTONKRYLOV, DESCENT_LAST }
	Enumeration of descent direction types. More...
enum	ESecant {   SECANT_LBFGS = 0, SECANT_LDFP, SECANT_LSR1, SECANT_BARZILAIBORWEIN,   SECANT_USERDEFINED, SECANT_LAST }
	Enumeration of secant update algorithms. More...
enum	EKrylov {   KRYLOV_CG = 0, KRYLOV_CR, KRYLOV_GMRES, KRYLOV_MINRES,   KRYLOV_USERDEFINED, KRYLOV_LAST }
	Enumeration of Krylov methods. More...
enum	ENonlinearCG {   NONLINEARCG_HESTENES_STIEFEL = 0, NONLINEARCG_FLETCHER_REEVES, NONLINEARCG_DANIEL, NONLINEARCG_POLAK_RIBIERE,   NONLINEARCG_FLETCHER_CONJDESC, NONLINEARCG_LIU_STOREY, NONLINEARCG_DAI_YUAN, NONLINEARCG_HAGER_ZHANG,   NONLINEARCG_OREN_LUENBERGER, NONLINEARCG_USERDEFINED, NONLINEARCG_LAST }
	Enumeration of nonlinear CG algorithms. More...
enum	ELineSearch {   LINESEARCH_ITERATIONSCALING = 0, LINESEARCH_PATHBASEDTARGETLEVEL, LINESEARCH_BACKTRACKING, LINESEARCH_BISECTION,   LINESEARCH_GOLDENSECTION, LINESEARCH_CUBICINTERP, LINESEARCH_BRENTS, LINESEARCH_USERDEFINED,   LINESEARCH_LAST }
	Enumeration of line-search types. More...
enum	ECurvatureCondition {   CURVATURECONDITION_WOLFE = 0, CURVATURECONDITION_STRONGWOLFE, CURVATURECONDITION_GENERALIZEDWOLFE, CURVATURECONDITION_APPROXIMATEWOLFE,   CURVATURECONDITION_GOLDSTEIN, CURVATURECONDITION_NULL, CURVATURECONDITION_LAST }
	Enumeration of line-search curvature conditions. More...
enum	ECGFlag {   CG_FLAG_SUCCESS = 0, CG_FLAG_ITEREXCEED, CG_FLAG_NEGCURVE, CG_FLAG_TRRADEX,   CG_FLAG_ZERORHS, CG_FLAG_UNDEFINED }
	Enumation of flags used by conjugate gradient methods. More...
enum	ETestOptProblem {   TESTOPTPROBLEM_ROSENBROCK = 0, TESTOPTPROBLEM_FREUDENSTEINANDROTH, TESTOPTPROBLEM_BEALE, TESTOPTPROBLEM_POWELL,   TESTOPTPROBLEM_SUMOFSQUARES, TESTOPTPROBLEM_LEASTSQUARES, TESTOPTPROBLEM_POISSONCONTROL, TESTOPTPROBLEM_POISSONINVERSION,   TESTOPTPROBLEM_ZAKHAROV, TESTOPTPROBLEM_HS1, TESTOPTPROBLEM_HS2, TESTOPTPROBLEM_HS3,   TESTOPTPROBLEM_HS4, TESTOPTPROBLEM_HS5, TESTOPTPROBLEM_HS24, TESTOPTPROBLEM_HS25,   TESTOPTPROBLEM_HS29, TESTOPTPROBLEM_HS32, TESTOPTPROBLEM_HS38, TESTOPTPROBLEM_HS39,   TESTOPTPROBLEM_HS45, TESTOPTPROBLEM_BVP, TESTOPTPROBLEM_PARABOLOIDCIRCLE, TESTOPTPROBLEM_SIMPLEEQCONSTRAINED,   TESTOPTPROBLEM_CANTILEVERBEAM, TESTOPTPROBLEM_CUBIC, TESTOPTPROBLEM_QUARTIC, TESTOPTPROBLEM_CYLINDERHEAD,   TESTOPTPROBLEM_CANTILEVER, TESTOPTPROBLEM_MINIMAX1, TESTOPTPROBLEM_MINIMAX2, TESTOPTPROBLEM_MINIMAX3,   TESTOPTPROBLEM_LAST }
	Enumeration of test optimization problems. More...

Functions
template<class Real >
ROL::Ptr< Vector< Real > >	CreatePartitionedVector (const ROL::Ptr< Vector< Real >> &a)
template<class Real >
ROL::Ptr< const Vector< Real > >	CreatePartitionedVector (const ROL::Ptr< const Vector< Real >> &a)
template<class Real >
ROL::Ptr< Vector< Real > >	CreatePartitionedVector (const ROL::Ptr< Vector< Real >> &a, const ROL::Ptr< Vector< Real >> &b)
template<class Real >
ROL::Ptr< const Vector< Real > >	CreatePartitionedVector (const ROL::Ptr< const Vector< Real >> &a, const ROL::Ptr< const Vector< Real >> &b)
template<class Real >
ROL::Ptr< Vector< Real > >	CreatePartitionedVector (const ROL::Ptr< Vector< Real >> &a, const ROL::Ptr< Vector< Real >> &b, const ROL::Ptr< Vector< Real >> &c)
template<class Real >
ROL::Ptr< const Vector< Real > >	CreatePartitionedVector (const ROL::Ptr< const Vector< Real >> &a, const ROL::Ptr< const Vector< Real >> &b, const ROL::Ptr< const Vector< Real >> &c)
template<class Real >
ROL::Ptr< Vector< Real > >	CreatePartitionedVector (const ROL::Ptr< Vector< Real >> &a, const ROL::Ptr< Vector< Real >> &b, const ROL::Ptr< Vector< Real >> &c, const ROL::Ptr< Vector< Real >> &d)
template<class Real >
ROL::Ptr< const Vector< Real > >	CreatePartitionedVector (const ROL::Ptr< const Vector< Real >> &a, const ROL::Ptr< const Vector< Real >> &b, const ROL::Ptr< const Vector< Real >> &c, const ROL::Ptr< const Vector< Real >> &d)
template<class Ordinal , class Real >
VectorFunctionCalls< Ordinal >	getVectorFunctionCalls (const ProfiledVector< Ordinal, Real > &x)
template<class Ordinal , class Real >
void	printVectorFunctionCalls (const ProfiledVector< Ordinal, Real > &x, std::ostream &outStream=std::cout)
template<class Real >
void	RandomizeVector (Vector< Real > &x, const Real &lower=0.0, const Real &upper=1.0)
	Fill a ROL::Vector with uniformly-distributed random numbers in the interval [lower,upper]. More...
template<class Real >
void	RandomizeFeasibleVector (Vector< Real > &x, BoundConstraint< Real > &bnd)
	Fill a ROL::Vector with uniformly-distributed random numbers which satisfy the supplied bound constraint. More...
template<class Real >
ROL::Ptr< BoundConstraint< Real > >	CreateBoundConstraint_Partitioned (const ROL::Ptr< BoundConstraint< Real > > &bnd1, const ROL::Ptr< BoundConstraint< Real > > &bnd2)
template<typename Real >
DynamicConstraint_CheckInterface < Real >	make_check (DynamicConstraint< Real > &con)
template<typename Real >
DynamicObjective_CheckInterface < Real >	make_check (DynamicObjective< Real > &obj)
template<class Real >
ROL::BlockOperator2Diagonal BlockOperator2	apply (V &Hv, const V &v, Real &tol) const
void	applyInverse (V &Hv, const V &v Real &tol) const
ROL::Ptr< LinearOperator< Real > >	getOperator (int row, int col) const
template<class Real >
ROL::BlockOperator2UnitLower LinearOperator	apply (V &Hv, const V &v, Real &tol) const
template<class Real >
ROL::BlockOperator2UnitUpper LinearOperator	apply (V &Hv, const V &v, Real &tol) const
template<class Real >
Real	normL1 (const Vector< Real > &x)
template<class Real , class Exponent >
Real	normLp (const Vector< Real > &x, Exponent p)
template<class Real >
Real	normLinf (const Vector< Real > &x)
template<typename Real >
ROL::Objective_SerialSimOpt Objective_SimOpt	value (const V &u, const V &z, Real &tol) override
virtual void	gradient_1 (V &g, const V &u, const V &z, Real &tol) override
virtual void	gradient_2 (V &g, const V &u, const V &z, Real &tol) override
virtual void	hessVec_11 (V &hv, const V &v, const V &u, const V &z, Real &tol) override
virtual void	hessVec_12 (V &hv, const V &v, const V &u, const V &z, Real &tol) override
virtual void	hessVec_21 (V &hv, const V &v, const V &u, const V &z, Real &tol) override
virtual void	hessVec_22 (V &hv, const V &v, const V &u, const V &z, Real &tol) override
virtual void	update_1_old (const Vector< Real > &u_old, bool flag=true, int iter=-1)
	Update constraint functions with respect to Sim variable. u_old is the state variable flag = true if optimization variable is changed, iter is the outer algorithm iterations count. More...
virtual void	update_1_new (const Vector< Real > &u_new, bool flag=true, int iter=-1)
	Update constraint functions with respect to Sim variable. u_new is the state variable flag = true if optimization variable is changed, iter is the outer algorithm iterations count. More...
virtual void	update_2 (const Vector< Real > &z, bool flag=true, int iter=-1) override
	Update constraint functions with respect to Opt variable. z is the control variable, flag = true if optimization variable is changed, iter is the outer algorithm iterations count. More...
virtual Real	value (const Vector< Real > &u_old, const Vector< Real > &u_new, const Vector< Real > &z, Real &tol)
	Compute contribution to objective value from this time step. More...
virtual void	gradient_1_old (Vector< Real > &g, const Vector< Real > &u_old, Vector< Real > &u_new, const Vector< Real > &z, Real &tol)
	Compute contribution to simulation term gradient from this time step. More...
virtual void	gradient_1_new (Vector< Real > &g, const Vector< Real > &u_old, Vector< Real > &u_new, const Vector< Real > &z, Real &tol)
	Compute contribution to simulation term gradient from this time step. More...
virtual void	gradient_2 (Vector< Real > &g, const Vector< Real > &u_old, Vector< Real > &u_new, const Vector< Real > &z, Real &tol) override
	Compute contribution to optimization term gradient from this time step. More...
virtual void	hessVec_11_old (Vector< Real > &hv, const Vector< Real > &v_old, const Vector< Real > &u_old, const Vector< Real > &u_new, const Vector< Real > &z, Real &tol)
virtual void	hessVec_11_new (Vector< Real > &hv, const Vector< Real > &v_new, const Vector< Real > &u_old, const Vector< Real > &u_new, const Vector< Real > &z, Real &tol)
virtual void	update (const Vector< Real > &u, const Vector< Real > &z, bool flag=true, int iter=-1) override
virtual Real	value (const Vector< Real > &u, const Vector< Real > &z, Real &tol) override
virtual void	solve (Vector< Real > &c, Vector< Real > &u, const Vector< Real > &z) override
virtual void	gradient_1 (Vector< Real > &g, const Vector< Real > &u, const Vector< Real > &z, Real &tol) override
virtual void	gradient_2 (Vector< Real > &g, const Vector< Real > &u, const Vector< Real > &z, Real &tol) override
virtual void	hessVec_11 (Vector< Real > &hv, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, Real &tol) override
virtual void	hessVec_12 (Vector< Real > &hv, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, Real &tol) override
virtual void	hessVec_21 (Vector< Real > &hv, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, Real &tol) override
virtual void	hessVec_22 (Vector< Real > &hv, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, Real &tol) override
template<class Real >
ROL::Ptr< Krylov< Real > >	KrylovFactory (ROL::ParameterList &parlist)
template<class Real >
ROL::Ptr< LineSearch< Real > >	LineSearchFactory (ROL::ParameterList &parlist)
template<class Real >
ROL::Ptr< Secant< Real > >	getSecant (ESecant esec=SECANT_LBFGS, int L=10, int BBtype=1)
template<class Real >
ROL::Ptr< Secant< Real > >	SecantFactory (ROL::ParameterList &parlist)
template<class Real >
ROL::Ptr< TrustRegion< Real > >	TrustRegionFactory (ROL::ParameterList &parlist)
std::string	ETrustRegionToString (ETrustRegion tr)
int	isValidTrustRegion (ETrustRegion ls)
	Verifies validity of a TrustRegion enum. More...
ETrustRegion &	operator++ (ETrustRegion &type)
ETrustRegion	operator++ (ETrustRegion &type, int)
ETrustRegion &	operator-- (ETrustRegion &type)
ETrustRegion	operator-- (ETrustRegion &type, int)
ETrustRegion	StringToETrustRegion (std::string s)
std::string	ETrustRegionModelToString (ETrustRegionModel tr)
int	isValidTrustRegionModel (ETrustRegionModel ls)
	Verifies validity of a TrustRegionModel enum. More...
ETrustRegionModel &	operator++ (ETrustRegionModel &type)
ETrustRegionModel	operator++ (ETrustRegionModel &type, int)
ETrustRegionModel &	operator-- (ETrustRegionModel &type)
ETrustRegionModel	operator-- (ETrustRegionModel &type, int)
ETrustRegionModel	StringToETrustRegionModel (std::string s)
bool	isValidTrustRegionSubproblem (ETrustRegion etr, ETrustRegionModel etrm, bool isBnd)
std::string	ETrustRegionFlagToString (ETrustRegionFlag trf)
std::string	EDistributionToString (EDistribution ed)
int	isValidDistribution (EDistribution ed)
EDistribution &	operator++ (EDistribution &type)
EDistribution	operator++ (EDistribution &type, int)
EDistribution &	operator-- (EDistribution &type)
EDistribution	operator-- (EDistribution &type, int)
EDistribution	StringToEDistribution (std::string s)
template<class Real >
ROL::Ptr< Distribution< Real > >	DistributionFactory (ROL::ParameterList &parlist)
std::string	EDeviationMeasureToString (EDeviationMeasure ed)
int	isValidDeviationMeasure (EDeviationMeasure ed)
EDeviationMeasure &	operator++ (EDeviationMeasure &type)
EDeviationMeasure	operator++ (EDeviationMeasure &type, int)
EDeviationMeasure &	operator-- (EDeviationMeasure &type)
EDeviationMeasure	operator-- (EDeviationMeasure &type, int)
EDeviationMeasure	StringToEDeviationMeasure (std::string s)
template<class Real >
Ptr< RandVarFunctional< Real > >	DeviationMeasureFactory (ROL::ParameterList &parlist)
template<class Real >
void	DeviationMeasureInfo (ROL::ParameterList &parlist, std::string &name, int &nStatistic, std::vector< Real > &lower, std::vector< Real > &upper, bool &isBoundActivated, const bool printToStream=false, std::ostream &outStream=std::cout)
std::string	EErrorMeasureToString (EErrorMeasure ed)
int	isValidErrorMeasure (EErrorMeasure ed)
EErrorMeasure &	operator++ (EErrorMeasure &type)
EErrorMeasure	operator++ (EErrorMeasure &type, int)
EErrorMeasure &	operator-- (EErrorMeasure &type)
EErrorMeasure	operator-- (EErrorMeasure &type, int)
EErrorMeasure	StringToEErrorMeasure (std::string s)
template<class Real >
Ptr< RandVarFunctional< Real > >	ErrorMeasureFactory (ROL::ParameterList &parlist)
template<class Real >
void	ErrorMeasureInfo (ROL::ParameterList &parlist, std::string &name, int &nStatistic, std::vector< Real > &lower, std::vector< Real > &upper, bool &isBoundActivated, const bool printToStream=false, std::ostream &outStream=std::cout)
std::string	EProbabilityToString (EProbability ed)
int	isValidProbability (EProbability ed)
EProbability &	operator++ (EProbability &type)
EProbability	operator++ (EProbability &type, int)
EProbability &	operator-- (EProbability &type)
EProbability	operator-- (EProbability &type, int)
EProbability	StringToEProbability (std::string s)
template<class Real >
Ptr< RandVarFunctional< Real > >	ProbabilityFactory (ROL::ParameterList &parlist)
template<class Real >
void	ProbabilityInfo (ROL::ParameterList &parlist, std::string &name, int &nStatistic, std::vector< Real > &lower, std::vector< Real > &upper, bool &isBoundActivated, const bool printToStream=false, std::ostream &outStream=std::cout)
std::string	ERegretMeasureToString (ERegretMeasure ed)
int	isValidRegretMeasure (ERegretMeasure ed)
ERegretMeasure &	operator++ (ERegretMeasure &type)
ERegretMeasure	operator++ (ERegretMeasure &type, int)
ERegretMeasure &	operator-- (ERegretMeasure &type)
ERegretMeasure	operator-- (ERegretMeasure &type, int)
ERegretMeasure	StringToERegretMeasure (std::string s)
template<class Real >
Ptr< RandVarFunctional< Real > >	RegretMeasureFactory (ROL::ParameterList &parlist)
template<class Real >
void	RegretMeasureInfo (ROL::ParameterList &parlist, std::string &name, int &nStatistic, std::vector< Real > &lower, std::vector< Real > &upper, bool &isBoundActivated, const bool printToStream=false, std::ostream &outStream=std::cout)
std::string	ERiskMeasureToString (ERiskMeasure ed)
int	isValidRiskMeasure (ERiskMeasure ed)
ERiskMeasure &	operator++ (ERiskMeasure &type)
ERiskMeasure	operator++ (ERiskMeasure &type, int)
ERiskMeasure &	operator-- (ERiskMeasure &type)
ERiskMeasure	operator-- (ERiskMeasure &type, int)
ERiskMeasure	StringToERiskMeasure (std::string s)
template<class Real >
Ptr< RandVarFunctional< Real > >	RiskMeasureFactory (ROL::ParameterList &parlist)
template<class Real >
void	RiskMeasureInfo (ROL::ParameterList &parlist, std::string &name, int &nStatistic, std::vector< Real > &lower, std::vector< Real > &upper, bool &isBoundActivated, const bool printToStream=false, std::ostream &outStream=std::cout)
template<class Real >
Ptr< RandVarFunctional< Real > >	RandVarFunctionalFactory (ROL::ParameterList &parlist)
template<class Real >
void	RandVarFunctionalInfo (ROL::ParameterList &parlist, std::string &name, int &nStatistic, std::vector< Real > &lower, std::vector< Real > &upper, bool &isBoundActivated, const bool printToStream=false, std::ostream &outStream=std::cout)
template<class Real >
ROL::Ptr< Vector< Real > >	CreateSimulatedVector (const ROL::Ptr< Vector< Real >> &a, const ROL::Ptr< BatchManager< Real >> &bman)
template<class Real >
ROL::Ptr< const Vector< Real > >	CreateSimulatedVector (const ROL::Ptr< const Vector< Real > > &a, const ROL::Ptr< BatchManager< Real > > &bman)
template<class Real >
ROL::Ptr< Vector< Real > >	CreateSimulatedVector (const ROL::Ptr< Vector< Real > > &a, const ROL::Ptr< Vector< Real > > &b, const ROL::Ptr< BatchManager< Real > > &bman)
template<class Real >
ROL::Ptr< const Vector< Real > >	CreateSimulatedVector (const ROL::Ptr< const Vector< Real > > &a, const ROL::Ptr< const Vector< Real > > &b, const ROL::Ptr< BatchManager< Real > > &bman)
template<class Real >
ROL::Ptr< Vector< Real > >	CreateSimulatedVector (const ROL::Ptr< Vector< Real > > &a, const ROL::Ptr< Vector< Real > > &b, const ROL::Ptr< Vector< Real > > &c, const ROL::Ptr< BatchManager< Real > > &bman)
template<class Real >
ROL::Ptr< const Vector< Real > >	CreateSimulatedVector (const ROL::Ptr< const Vector< Real > > &a, const ROL::Ptr< const Vector< Real > > &b, const ROL::Ptr< const Vector< Real > > &c, const ROL::Ptr< BatchManager< Real > > &bman)
template<class Real >
ROL::Ptr< Vector< Real > >	CreateSimulatedVector (const ROL::Ptr< Vector< Real > > &a, const ROL::Ptr< Vector< Real > > &b, const ROL::Ptr< Vector< Real > > &c, const ROL::Ptr< Vector< Real > > &d, const ROL::Ptr< BatchManager< Real > > &bman)
template<class Real >
ROL::Ptr< const Vector< Real > >	CreateSimulatedVector (const ROL::Ptr< const Vector< Real > > &a, const ROL::Ptr< const Vector< Real > > &b, const ROL::Ptr< const Vector< Real > > &c, const ROL::Ptr< const Vector< Real > > &d, const ROL::Ptr< BatchManager< Real > > &bman)
template<class Real >
Teuchos::SerialDenseMatrix < int, Real >	computeDenseHessian (Objective< Real > &obj, const Vector< Real > &x)
template<class Real >
Teuchos::SerialDenseMatrix < int, Real >	computeScaledDenseHessian (Objective< Real > &obj, const Vector< Real > &x)
template<class Real >
Teuchos::SerialDenseMatrix < int, Real >	computeDotMatrix (const Vector< Real > &x)
template<class Real >
std::vector< std::vector< Real > >	computeEigenvalues (const Teuchos::SerialDenseMatrix< int, Real > &mat)
template<class Real >
std::vector< std::vector< Real > >	computeGenEigenvalues (const Teuchos::SerialDenseMatrix< int, Real > &A, const Teuchos::SerialDenseMatrix< int, Real > &B)
template<class Real >
Teuchos::SerialDenseMatrix < int, Real >	computeInverse (const Teuchos::SerialDenseMatrix< int, Real > &mat)
template<class ParameterType >
void	setParameter (ROL::ParameterList &parlist, const std::vector< std::string > &location, const std::vector< std::string >::iterator iter, ParameterType value)
void	tierParameterList (ROL::ParameterList &outList, const ROL::ParameterList &inList)
	Produce a heirarchical parameter list using the new names from a flat list of the old names. More...
template<class T >
std::string	NumberToString (T Number)
template<class Real >
Real	ROL_EPSILON (void)
	Platform-dependent machine epsilon. More...
template<class Real >
Real	ROL_THRESHOLD (void)
	Tolerance for various equality tests. More...
template<class Real >
Real	ROL_OVERFLOW (void)
	Platform-dependent maximum double. More...
template<class Real >
Real	ROL_INF (void)
template<class Real >
Real	ROL_NINF (void)
template<class Real >
Real	ROL_UNDERFLOW (void)
	Platform-dependent minimum double. More...
std::string	EExitStatusToString (EExitStatus tr)
std::string	removeStringFormat (std::string s)
std::string	EStepToString (EStep tr)
bool	isCompatibleStep (EProblem p, EStep s)
std::string	EProblemToString (EProblem p)
int	isValidStep (EStep ls)
	Verifies validity of a TrustRegion enum. More...
EStep &	operator++ (EStep &type)
EStep	operator++ (EStep &type, int)
EStep &	operator-- (EStep &type)
EStep	operator-- (EStep &type, int)
EStep	StringToEStep (std::string s)
std::string	EDescentToString (EDescent tr)
int	isValidDescent (EDescent d)
	Verifies validity of a Secant enum. More...
EDescent &	operator++ (EDescent &type)
EDescent	operator++ (EDescent &type, int)
EDescent &	operator-- (EDescent &type)
EDescent	operator-- (EDescent &type, int)
EDescent	StringToEDescent (std::string s)
std::string	ESecantToString (ESecant tr)
int	isValidSecant (ESecant s)
	Verifies validity of a Secant enum. More...
ESecant &	operator++ (ESecant &type)
ESecant	operator++ (ESecant &type, int)
ESecant &	operator-- (ESecant &type)
ESecant	operator-- (ESecant &type, int)
ESecant	StringToESecant (std::string s)
std::string	EKrylovToString (EKrylov tr)
int	isValidKrylov (EKrylov d)
	Verifies validity of a Secant enum. More...
EKrylov &	operator++ (EKrylov &type)
EKrylov	operator++ (EKrylov &type, int)
EKrylov &	operator-- (EKrylov &type)
EKrylov	operator-- (EKrylov &type, int)
EKrylov	StringToEKrylov (std::string s)
std::string	ENonlinearCGToString (ENonlinearCG tr)
int	isValidNonlinearCG (ENonlinearCG s)
	Verifies validity of a NonlinearCG enum. More...
ENonlinearCG &	operator++ (ENonlinearCG &type)
ENonlinearCG	operator++ (ENonlinearCG &type, int)
ENonlinearCG &	operator-- (ENonlinearCG &type)
ENonlinearCG	operator-- (ENonlinearCG &type, int)
ENonlinearCG	StringToENonlinearCG (std::string s)
std::string	ELineSearchToString (ELineSearch ls)
int	isValidLineSearch (ELineSearch ls)
	Verifies validity of a LineSearch enum. More...
ELineSearch &	operator++ (ELineSearch &type)
ELineSearch	operator++ (ELineSearch &type, int)
ELineSearch &	operator-- (ELineSearch &type)
ELineSearch	operator-- (ELineSearch &type, int)
ELineSearch	StringToELineSearch (std::string s)
std::string	ECurvatureConditionToString (ECurvatureCondition ls)
int	isValidCurvatureCondition (ECurvatureCondition ls)
	Verifies validity of a CurvatureCondition enum. More...
ECurvatureCondition &	operator++ (ECurvatureCondition &type)
ECurvatureCondition	operator++ (ECurvatureCondition &type, int)
ECurvatureCondition &	operator-- (ECurvatureCondition &type)
ECurvatureCondition	operator-- (ECurvatureCondition &type, int)
ECurvatureCondition	StringToECurvatureCondition (std::string s)
std::string	ECGFlagToString (ECGFlag cgf)
template<class Element , class Real >
Real	rol_cast (const Element &val)
ROL::Ptr< const ROL::ParameterList >	getValidROLParameters ()
ROL::Ptr< const ROL::ParameterList >	getValidSOLParameters ()
std::string	ETestOptProblemToString (ETestOptProblem to)
int	isValidTestOptProblem (ETestOptProblem to)
	Verifies validity of a TestOptProblem enum. More...
ETestOptProblem &	operator++ (ETestOptProblem &type)
ETestOptProblem	operator++ (ETestOptProblem &type, int)
ETestOptProblem &	operator-- (ETestOptProblem &type)
ETestOptProblem	operator-- (ETestOptProblem &type, int)
ETestOptProblem	StringToETestOptProblem (std::string s)
template<class Real >
void	GetTestProblem (Ptr< OptimizationProblem< Real > > &problem, Ptr< Vector< Real > > &x0, std::vector< Ptr< Vector< Real > > > &x, const ETestOptProblem test)
void	addJSONBlockToPL (const Json::Value &block, ROL::ParameterList &parlist)
	Iterate over a block and insert key-value pairs into the ROL::ParameterList. More...
void	addJSONPairToPL (const Json::Value &block, const std::string &key, ROL::ParameterList &parlist)
	Given a JSON block and a key, get the value and insert the key-value pair into a ROL::ParameterList. If the value is itself a block, recursively iterate. More...
void	JSON_Parameters (const std::string &jsonFileName, ROL::ParameterList &parlist)
	Read a JSON file and store all parameters in a ROL::ParameterList. Checks for a key called "Algorithm" which has a string value which can specify a Step Type (Linesearch or Trust-Region) and either a Descent Type or a Trust-Region Subproblem Solver Type. More...
template<class Real >
void	stepFactory (ROL::ParameterList &parlist, ROL::Ptr< ROL::Step< Real > > &step)
	A minimalist step factory which specializes the Step Type depending on whether a Trust-Region or Linesearch has been selected. More...

Variables
ROL::DiagonalOperator	apply
ROL::Objective_SimOpt	value

Typedef Documentation

template<typename Real >

using ROL::SerialConstraint = typedef details::SerialConstraint<Real>

Definition at line 333 of file ROL_SerialConstraint.hpp.

Enumeration Type Documentation

enum ROL::ETrustRegion

Enumeration of trust-region solver types.

• CAUCHYPOINT describe
• TRUNCATEDCG describe
• DOGLEG describe
• DOUBLEDOGLEG describe

Enumerator
TRUSTREGION_CAUCHYPOINT
TRUSTREGION_TRUNCATEDCG
TRUSTREGION_DOGLEG
TRUSTREGION_DOUBLEDOGLEG
TRUSTREGION_LINMORE
TRUSTREGION_LAST

Definition at line 62 of file ROL_TrustRegionTypes.hpp.

enum ROL::ETrustRegionModel

Enumeration of trust-region model types.

• COLEMANLI describe
• KELLEYSACHS describe

Enumerator
TRUSTREGION_MODEL_COLEMANLI
TRUSTREGION_MODEL_KELLEYSACHS
TRUSTREGION_MODEL_LINMORE
TRUSTREGION_MODEL_LAST

Definition at line 135 of file ROL_TrustRegionTypes.hpp.

enum ROL::ETrustRegionFlag

Enumation of flags used by trust-region solvers.

• TRUSTREGION_FLAG_SUCCESS Actual and predicted reductions are positive
• TRUSTREGION_FLAG_POSPREDNEG Reduction is positive, predicted negative (impossible)
• TRUSTREGION_FLAG_NPOSPREDPOS Reduction is nonpositive, predicted positive
• TRUSTREGION_FLAG_NPOSPREDNEG Reduction is nonpositive, predicted negative (impossible)
• TRUSTREGION_FLAG_QMINSUFDEC Insufficient decrease of the quadratic model (bound constraint only)
• TRUSTREGION_FLAG_NAN Actual and/or predicted reduction is NaN

Enumerator
TRUSTREGION_FLAG_SUCCESS
TRUSTREGION_FLAG_POSPREDNEG
TRUSTREGION_FLAG_NPOSPREDPOS
TRUSTREGION_FLAG_NPOSPREDNEG
TRUSTREGION_FLAG_QMINSUFDEC
TRUSTREGION_FLAG_NAN
TRUSTREGION_FLAG_UNDEFINED

Definition at line 230 of file ROL_TrustRegionTypes.hpp.

enum ROL::EDistribution

Enumerator
DISTRIBUTION_ARCSINE
DISTRIBUTION_BETA
DISTRIBUTION_CAUCHY
DISTRIBUTION_DIRAC
DISTRIBUTION_EXPONENTIAL
DISTRIBUTION_GAMMA
DISTRIBUTION_GAUSSIAN
DISTRIBUTION_KUMARASWAMY
DISTRIBUTION_LAPLACE
DISTRIBUTION_LOGISTIC
DISTRIBUTION_PARABOLIC
DISTRIBUTION_RAISEDCOSINE
DISTRIBUTION_SMALE
DISTRIBUTION_TRIANGLE
DISTRIBUTION_TRUNCATEDEXPONENTIAL
DISTRIBUTION_TRUNCATEDGAUSSIAN
DISTRIBUTION_UNIFORM
DISTRIBUTION_LAST

Definition at line 69 of file ROL_DistributionFactory.hpp.

enum ROL::EDeviationMeasure

Enumerator
DEVIATIONMEASURE_MEANVARIANCEQUADRANGLE
DEVIATIONMEASURE_TRUNCATEDMEANQUADRANGLE
DEVIATIONMEASURE_QUANTILEQUADRANGLE
DEVIATIONMEASURE_MOREAUYOSIDACVAR
DEVIATIONMEASURE_GENMOREAUYOSIDACVAR
DEVIATIONMEASURE_LOGEXPONENTIALQUADRANGLE
DEVIATIONMEASURE_LOGQUANTILEQUADRANGLE
DEVIATIONMEASURE_SMOOTHEDWORSTCASEQUADRANGLE
DEVIATIONMEASURE_LAST

Definition at line 64 of file ROL_DeviationMeasureFactory.hpp.

enum ROL::EErrorMeasure

Enumerator
ERRORMEASURE_MEANVARIANCEQUADRANGLE
ERRORMEASURE_TRUNCATEDMEANQUADRANGLE
ERRORMEASURE_QUANTILEQUADRANGLE
ERRORMEASURE_MOREAUYOSIDACVAR
ERRORMEASURE_GENMOREAUYOSIDACVAR
ERRORMEASURE_LOGEXPONENTIALQUADRANGLE
ERRORMEASURE_LOGQUANTILEQUADRANGLE
ERRORMEASURE_SMOOTHEDWORSTCASEQUADRANGLE
ERRORMEASURE_LAST

Definition at line 64 of file ROL_ErrorMeasureFactory.hpp.

enum ROL::EProbability

Enumerator
PROBABILITY_BPOE
PROBABILITY_SMOOTHEDPOE
PROBABILITY_LAST

Definition at line 55 of file ROL_ProbabilityFactory.hpp.

enum ROL::ERegretMeasure

Enumerator
REGRETMEASURE_MEANABSOLUTELOSS
REGRETMEASURE_MOREAUYOSIDAMEANABSOLUTELOSS
REGRETMEASURE_GENMOREAUYOSIDAMEANABSOLUTELOSS
REGRETMEASURE_EXPONENTIAL
REGRETMEASURE_MEANL2
REGRETMEASURE_TRUNCATEDMEAN
REGRETMEASURE_LOGQUANTILE
REGRETMEASURE_SMOOTHEDWORSTCASE
REGRETMEASURE_LAST

Definition at line 61 of file ROL_RegretMeasureFactory.hpp.

enum ROL::ERiskMeasure

Enumerator
RISKMEASURE_CVAR
RISKMEASURE_MOREAUYOSIDACVAR
RISKMEASURE_GENMOREAUYOSIDACVAR
RISKMEASURE_MIXEDCVAR
RISKMEASURE_SPECTRALRISK
RISKMEASURE_SECONDORDERCVAR
RISKMEASURE_CHEBYSHEVSPECTRAL
RISKMEASURE_QUANTILERADIUS
RISKMEASURE_HMCR
RISKMEASURE_ENTROPICRISK
RISKMEASURE_COHERENTENTROPICRISK
RISKMEASURE_MEANSEMIDEVIATION
RISKMEASURE_MEANSEMIDEVIATIONFROMTARGET
RISKMEASURE_MEANDEVIATIONFROMTARGET
RISKMEASURE_MEANDEVIATION
RISKMEASURE_MEANVARIANCEFROMTARGET
RISKMEASURE_MEANVARIANCE
RISKMEASURE_TRUNCATEDMEAN
RISKMEASURE_LOGQUANTILE
RISKMEASURE_SMOOTHEDWORSTCASE
RISKMEASURE_LOGEXPONENTIAL
RISKMEASURE_SAFETYMARGIN
RISKMEASURE_CHI2DIVERGENCE
RISKMEASURE_KLDIVERGENCE
RISKMEASURE_LAST

Definition at line 84 of file ROL_RiskMeasureFactory.hpp.

enum ROL::EAbsoluteValue

Enumerator
ABSOLUTEVALUE_TRUE
ABSOLUTEVALUE_SQUAREROOT
ABSOLUTEVALUE_SQRTDENOM
ABSOLUTEVALUE_C2
ABSOLUTEVALUE_LAST

Definition at line 52 of file ROL_AbsoluteValue.hpp.

enum ROL::EExitStatus

Enum for algorithm termination.

Enumerator
EXITSTATUS_CONVERGED
EXITSTATUS_MAXITER
EXITSTATUS_STEPTOL
EXITSTATUS_NAN
EXITSTATUS_USERDEFINED
EXITSTATUS_LAST

Definition at line 117 of file ROL_Types.hpp.

enum ROL::EProblem

Enumerator
TYPE_U
TYPE_B
TYPE_E
TYPE_EB
TYPE_LAST

Definition at line 255 of file ROL_Types.hpp.

enum ROL::EStep

Enumeration of step types.

• AUGMENTEDLAGRANGIAN describe
• BUNDLE describe
• COMPOSITESTEP describe
• LINESEARCH describe
• MOREAUYOSIDAPENALTY describe
• PRIMALDUALACTIVESET describe
• TRUSTREGION describe

Enumerator
STEP_AUGMENTEDLAGRANGIAN
STEP_BUNDLE
STEP_COMPOSITESTEP
STEP_LINESEARCH
STEP_MOREAUYOSIDAPENALTY
STEP_PRIMALDUALACTIVESET
STEP_TRUSTREGION
STEP_INTERIORPOINT
STEP_FLETCHER
STEP_LAST

Definition at line 274 of file ROL_Types.hpp.

enum ROL::EDescent

Enumeration of descent direction types.

• STEEPEST describe
• NONLINEARCG describe
• SECANT describe
• NEWTON describe
• NEWTONKRYLOV describe
• SECANTPRECOND describe

Enumerator
DESCENT_STEEPEST
DESCENT_NONLINEARCG
DESCENT_SECANT
DESCENT_NEWTON
DESCENT_NEWTONKRYLOV
DESCENT_LAST

Definition at line 409 of file ROL_Types.hpp.

enum ROL::ESecant

Enumeration of secant update algorithms.

• LBFGS describe
• LDFP describe
• LSR1 describe
• BARZILAIBORWEIN describe

Enumerator
SECANT_LBFGS
SECANT_LDFP
SECANT_LSR1
SECANT_BARZILAIBORWEIN
SECANT_USERDEFINED
SECANT_LAST

Definition at line 484 of file ROL_Types.hpp.

enum ROL::EKrylov

Enumeration of Krylov methods.

• CG describe
• CR describe

Enumerator
KRYLOV_CG
KRYLOV_CR
KRYLOV_GMRES
KRYLOV_MINRES
KRYLOV_USERDEFINED
KRYLOV_LAST

Definition at line 557 of file ROL_Types.hpp.

enum ROL::ENonlinearCG

Enumeration of nonlinear CG algorithms.

• HESTENES_STIEFEL \( \frac{g_{k+1}^\top y_k}{d_k^\top y_k } \)
• FLETCHER_REEVES \( \frac{\|g_{k+1}\|^2}{\|g_k\|^2} \)
• DANIEL \( \frac{g_{k+1}^\top \nabla^2 f(x_k) d_k}{d_k^\top \nabla^2 f(x_k) d_k} \)
• POLAK_RIBIERE \( \frac{g_{k+1}^\top y_k}{\|g_k\|^2} \)
• FLETCHER_CONJDESC \( -\frac{\|g_{k+1}\|^2}{d_k^\top g_k} \)
• LIU_STOREY \( -\frac{g_k^\top y_{k-1} }{d_{k-1}^\top g_{k-1} \)
• DAI_YUAN \( \frac{\|g_{k+1}\|^2}{d_k^\top y_k} \)
• HAGER_ZHANG \( \frac{g_{k+1}^\top y_k}{d_k^\top y_k} - 2 \frac{\|y_k\|^2}{d_k^\top y_k} \frac{g_{k+1}^\top d_k}{d_k^\top y_k} \)
• OREN_LUENBERGER \( \frac{g_{k+1}^\top y_k}{d_k^\top y_k} - \frac{\|y_k\|^2}{d_k^\top y_k} \frac{g_{k+1}^\top d_k}{d_k^\top y_k} \)

Enumerator
NONLINEARCG_HESTENES_STIEFEL
NONLINEARCG_FLETCHER_REEVES
NONLINEARCG_DANIEL
NONLINEARCG_POLAK_RIBIERE
NONLINEARCG_FLETCHER_CONJDESC
NONLINEARCG_LIU_STOREY
NONLINEARCG_DAI_YUAN
NONLINEARCG_HAGER_ZHANG
NONLINEARCG_OREN_LUENBERGER
NONLINEARCG_USERDEFINED
NONLINEARCG_LAST

Definition at line 635 of file ROL_Types.hpp.

enum ROL::ELineSearch

Enumeration of line-search types.

• BACKTRACKING describe
• BISECTION describe
• GOLDENSECTION describe
• CUBICINTERP describe
• BRENTS describe
• USERDEFINED describe

Enumerator
LINESEARCH_ITERATIONSCALING
LINESEARCH_PATHBASEDTARGETLEVEL
LINESEARCH_BACKTRACKING
LINESEARCH_BISECTION
LINESEARCH_GOLDENSECTION
LINESEARCH_CUBICINTERP
LINESEARCH_BRENTS
LINESEARCH_USERDEFINED
LINESEARCH_LAST

Definition at line 727 of file ROL_Types.hpp.

enum ROL::ECurvatureCondition

Enumeration of line-search curvature conditions.

• WOLFE describe
• STRONGWOLFE describe
• GOLDSTEIN describe

Enumerator
CURVATURECONDITION_WOLFE
CURVATURECONDITION_STRONGWOLFE
CURVATURECONDITION_GENERALIZEDWOLFE
CURVATURECONDITION_APPROXIMATEWOLFE
CURVATURECONDITION_GOLDSTEIN
CURVATURECONDITION_NULL
CURVATURECONDITION_LAST

Definition at line 810 of file ROL_Types.hpp.

enum ROL::ECGFlag

Enumation of flags used by conjugate gradient methods.

• CG_FLAG_SUCCESS Residual Tolerance Met
• CG_FLAG_ITEREXCEED Iteration Limit Exceeded
• CG_FLAG_NEGCURVE Negative Curvature Detected CG_FLAG_TRRADEX Trust-Region Radius Exceeded CG_FLAG_ZERORHS Initiali Right Hand Side is Zero

Enumerator
CG_FLAG_SUCCESS
CG_FLAG_ITEREXCEED
CG_FLAG_NEGCURVE
CG_FLAG_TRRADEX
CG_FLAG_ZERORHS
CG_FLAG_UNDEFINED

Definition at line 890 of file ROL_Types.hpp.

enum ROL::ETestOptProblem

Enumeration of test optimization problems.

• ROSENBROCK describe
• FREUDENSTEINANDROTH describe
• BEALE describe
• POWELL describe
• SUMOFSQUARES describe
• LEASTSQUARES describe
• POISSONCONTROL describe
• POISSONINVERSION describe
• ZAKHAROV describe
• HS1 describe
• HS2 describe
• HS3 describe
• HS4 describe
• HS5 describe
• HS24 describe
• HS25 describe
• HS29 describe
• HS32 describe
• HS38 describe
• HS39 describe
• HS45 describe
• BVP describe
• PARABOLOIDCIRCLE describe
• SIMPLEEQCONSTRAINED describe
• CANTILEVERBEAM describe
• CUBIC describe
• QUARTIC describe
• CYLINDERHEAD describe
• CANTILEVER describe
• MINIMAX1 describe
• MINIMAX2 describe
• MINIMAX3 describe

Enumerator
TESTOPTPROBLEM_ROSENBROCK
TESTOPTPROBLEM_FREUDENSTEINANDROTH
TESTOPTPROBLEM_BEALE
TESTOPTPROBLEM_POWELL
TESTOPTPROBLEM_SUMOFSQUARES
TESTOPTPROBLEM_LEASTSQUARES
TESTOPTPROBLEM_POISSONCONTROL
TESTOPTPROBLEM_POISSONINVERSION
TESTOPTPROBLEM_ZAKHAROV
TESTOPTPROBLEM_HS1
TESTOPTPROBLEM_HS2
TESTOPTPROBLEM_HS3
TESTOPTPROBLEM_HS4
TESTOPTPROBLEM_HS5
TESTOPTPROBLEM_HS24
TESTOPTPROBLEM_HS25
TESTOPTPROBLEM_HS29
TESTOPTPROBLEM_HS32
TESTOPTPROBLEM_HS38
TESTOPTPROBLEM_HS39
TESTOPTPROBLEM_HS45
TESTOPTPROBLEM_BVP
TESTOPTPROBLEM_PARABOLOIDCIRCLE
TESTOPTPROBLEM_SIMPLEEQCONSTRAINED
TESTOPTPROBLEM_CANTILEVERBEAM
TESTOPTPROBLEM_CUBIC
TESTOPTPROBLEM_QUARTIC
TESTOPTPROBLEM_CYLINDERHEAD
TESTOPTPROBLEM_CANTILEVER
TESTOPTPROBLEM_MINIMAX1
TESTOPTPROBLEM_MINIMAX2
TESTOPTPROBLEM_MINIMAX3
TESTOPTPROBLEM_LAST

Definition at line 125 of file ROL_GetTestProblems.hpp.

Function Documentation

template<class Real >

ROL::Ptr<Vector<Real> > ROL::CreatePartitionedVector

(

const ROL::Ptr< Vector< Real >> &

a

)

Definition at line 276 of file ROL_PartitionedVector.hpp.

Referenced by main(), and ROL::PrimalDualSystemStep< Real >::repartition().

template<class Real >

ROL::Ptr<const Vector<Real> > ROL::CreatePartitionedVector

(

const ROL::Ptr< const Vector< Real >> &

a

)

Definition at line 287 of file ROL_PartitionedVector.hpp.

template<class Real >

ROL::Ptr<Vector<Real> > ROL::CreatePartitionedVector	(	const ROL::Ptr< Vector< Real >> &	a,
		const ROL::Ptr< Vector< Real >> &	b
	)

Definition at line 298 of file ROL_PartitionedVector.hpp.

template<class Real >

ROL::Ptr<const Vector<Real> > ROL::CreatePartitionedVector	(	const ROL::Ptr< const Vector< Real >> &	a,
		const ROL::Ptr< const Vector< Real >> &	b
	)

Definition at line 309 of file ROL_PartitionedVector.hpp.

template<class Real >

ROL::Ptr<Vector<Real> > ROL::CreatePartitionedVector	(	const ROL::Ptr< Vector< Real >> &	a,
		const ROL::Ptr< Vector< Real >> &	b,
		const ROL::Ptr< Vector< Real >> &	c
	)

Definition at line 321 of file ROL_PartitionedVector.hpp.

template<class Real >

ROL::Ptr<const Vector<Real> > ROL::CreatePartitionedVector	(	const ROL::Ptr< const Vector< Real >> &	a,
		const ROL::Ptr< const Vector< Real >> &	b,
		const ROL::Ptr< const Vector< Real >> &	c
	)

Definition at line 334 of file ROL_PartitionedVector.hpp.

template<class Real >

ROL::Ptr<Vector<Real> > ROL::CreatePartitionedVector	(	const ROL::Ptr< Vector< Real >> &	a,
		const ROL::Ptr< Vector< Real >> &	b,
		const ROL::Ptr< Vector< Real >> &	c,
		const ROL::Ptr< Vector< Real >> &	d
	)

Definition at line 347 of file ROL_PartitionedVector.hpp.

template<class Real >

ROL::Ptr<const Vector<Real> > ROL::CreatePartitionedVector	(	const ROL::Ptr< const Vector< Real >> &	a,
		const ROL::Ptr< const Vector< Real >> &	b,
		const ROL::Ptr< const Vector< Real >> &	c,
		const ROL::Ptr< const Vector< Real >> &	d
	)

Definition at line 362 of file ROL_PartitionedVector.hpp.

template<class Ordinal , class Real >

VectorFunctionCalls<Ordinal> ROL::getVectorFunctionCalls

(

const ProfiledVector< Ordinal, Real > &

x

)

Definition at line 102 of file ROL_ProfiledVector.hpp.

References ROL::ProfiledVector< Ordinal, Real >::functionCalls_.

Referenced by main().

template<class Ordinal , class Real >

void ROL::printVectorFunctionCalls	(	const ProfiledVector< Ordinal, Real > &	x,
		std::ostream &	outStream = std::cout
	)

Definition at line 107 of file ROL_ProfiledVector.hpp.

References ROL::ProfiledVector< Ordinal, Real >::functionCalls_.

Referenced by main().

template<class Real >

ROL::Ptr<BoundConstraint<Real> > ROL::CreateBoundConstraint_Partitioned	(	const ROL::Ptr< BoundConstraint< Real > > &	bnd1,
		const ROL::Ptr< BoundConstraint< Real > > &	bnd2
	)

Definition at line 244 of file ROL_BoundConstraint_Partitioned.hpp.

template<typename Real >

DynamicConstraint_CheckInterface<Real> ROL::make_check

(

DynamicConstraint< Real > &

con

)

Definition at line 264 of file ROL_DynamicConstraint_CheckInterface.hpp.

Referenced by ROL::DynamicConstraintCheck< Real >::check(), and ROL::DynamicObjectiveCheck< Real >::check().

template<typename Real >

DynamicObjective_CheckInterface<Real> ROL::make_check

(

DynamicObjective< Real > &

obj

)

Definition at line 213 of file ROL_DynamicObjective_CheckInterface.hpp.

template<class Real >

ROL::BlockOperator2Diagonal BlockOperator2 ROL::apply	(	V &	Hv,
		const V &	v,
		Real &	tol
	)		const

Definition at line 78 of file ROL_BlockOperator2Diagonal.hpp.

References A_, and D_.

void ROL::applyInverse	(	V &	Hv,
		const V &v Real &	tol
	)		const

Definition at line 95 of file ROL_BlockOperator2Diagonal.hpp.

ROL::Ptr< LinearOperator< Real > > ROL::getOperator	(	int	row,
		int	col
	)		const

Definition at line 111 of file ROL_BlockOperator2Diagonal.hpp.

References A_, and D_.

template<class Real >

ROL::BlockOperator2UnitLower LinearOperator ROL::apply	(	V &	Hv,
		const V &	v,
		Real &	tol
	)		const

Definition at line 79 of file ROL_BlockOperator2UnitLower.hpp.

References C_.

template<class Real >

ROL::BlockOperator2UnitUpper LinearOperator ROL::apply	(	V &	Hv,
		const V &	v,
		Real &	tol
	)		const

Definition at line 79 of file ROL_BlockOperator2UnitUpper.hpp.

References B_.

template<class Real >

Real ROL::normL1

(

const Vector< Real > &

x

)

Definition at line 52 of file ROL_VectorNorms.hpp.

References ROL::Vector< Real >::clone().

template<class Real , class Exponent >

Real ROL::normLp	(	const Vector< Real > &	x,
		Exponent	p
	)

Definition at line 62 of file ROL_VectorNorms.hpp.

References ROL::Vector< Real >::clone().

template<class Real >

Real ROL::normLinf

(

const Vector< Real > &

x

)

Definition at line 73 of file ROL_VectorNorms.hpp.

References ROL::Vector< Real >::clone().

template<typename Real >

ROL::Objective_SerialSimOpt Objective_SimOpt ROL::value ( const V &  u, const V &  z, Real &  tol  )

override

Definition at line 85 of file ROL_Objective_SerialSimOpt.hpp.

References obj_, partition(), and ui_.

virtual void ROL::gradient_1 ( V &  g, const V &  u, const V &  z, Real &  tol  )

overridevirtual

Definition at line 99 of file ROL_Objective_SerialSimOpt.hpp.

References obj_, partition(), and ui_.

virtual void ROL::gradient_2 ( V &  g, const V &  u, const V &  z, Real &  tol  )

overridevirtual

Definition at line 113 of file ROL_Objective_SerialSimOpt.hpp.

References obj_, partition(), and ui_.

Referenced by gradient_2().

virtual void ROL::hessVec_11 ( V &  hv, const V &  v, const V &  u, const V &  z, Real &  tol  )

overridevirtual

Definition at line 127 of file ROL_Objective_SerialSimOpt.hpp.

References obj_, partition(), and ui_.

Referenced by hessVec_11().

virtual void ROL::hessVec_12 ( V &  hv, const V &  v, const V &  u, const V &  z, Real &  tol  )

overridevirtual

Definition at line 144 of file ROL_Objective_SerialSimOpt.hpp.

virtual void ROL::hessVec_21 ( V &  hv, const V &  v, const V &  u, const V &  z, Real &  tol  )

overridevirtual

Definition at line 160 of file ROL_Objective_SerialSimOpt.hpp.

References partition().

virtual void ROL::hessVec_22 ( V &  hv, const V &  v, const V &  u, const V &  z, Real &  tol  )

overridevirtual

Definition at line 176 of file ROL_Objective_SerialSimOpt.hpp.

References obj_, partition(), and ui_.

virtual void ROL::update_1_old ( const Vector< Real > &  u_old, bool  flag = true, int  iter = -1  )

virtual

Update constraint functions with respect to Sim variable. u_old is the state variable flag = true if optimization variable is changed, iter is the outer algorithm iterations count.

Definition at line 128 of file ROL_Objective_TimeSimOpt.hpp.

Referenced by ROL::Objective_TimeSimOpt< Real >::update().

virtual void ROL::update_1_new ( const Vector< Real > &  u_new, bool  flag = true, int  iter = -1  )

virtual

Update constraint functions with respect to Sim variable. u_new is the state variable flag = true if optimization variable is changed, iter is the outer algorithm iterations count.

Definition at line 135 of file ROL_Objective_TimeSimOpt.hpp.

Referenced by ROL::Objective_TimeSimOpt< Real >::update().

virtual void ROL::update_2 ( const Vector< Real > &  z, bool  flag = true, int  iter = -1  )

overridevirtual

Update constraint functions with respect to Opt variable. z is the control variable, flag = true if optimization variable is changed, iter is the outer algorithm iterations count.

Definition at line 142 of file ROL_Objective_TimeSimOpt.hpp.

Referenced by ROL::Objective_TimeSimOpt< Real >::update().

virtual Real ROL::value ( const Vector< Real > &  u_old, const Vector< Real > &  u_new, const Vector< Real > &  z, Real &  tol  )

virtual

Compute contribution to objective value from this time step.

Definition at line 146 of file ROL_Objective_TimeSimOpt.hpp.

virtual void ROL::gradient_1_old ( Vector< Real > &  g, const Vector< Real > &  u_old, Vector< Real > &  u_new, const Vector< Real > &  z, Real &  tol  )

virtual

Compute contribution to simulation term gradient from this time step.

Definition at line 151 of file ROL_Objective_TimeSimOpt.hpp.

Referenced by gradient_1().

virtual void ROL::gradient_1_new ( Vector< Real > &  g, const Vector< Real > &  u_old, Vector< Real > &  u_new, const Vector< Real > &  z, Real &  tol  )

virtual

Compute contribution to simulation term gradient from this time step.

Definition at line 155 of file ROL_Objective_TimeSimOpt.hpp.

Referenced by gradient_1().

virtual void ROL::gradient_2 ( Vector< Real > &  g, const Vector< Real > &  u_old, Vector< Real > &  u_new, const Vector< Real > &  z, Real &  tol  )

overridevirtual

Compute contribution to optimization term gradient from this time step.

Definition at line 160 of file ROL_Objective_TimeSimOpt.hpp.

virtual void ROL::hessVec_11_old ( Vector< Real > &  hv, const Vector< Real > &  v_old, const Vector< Real > &  u_old, const Vector< Real > &  u_new, const Vector< Real > &  z, Real &  tol  )

virtual

Definition at line 163 of file ROL_Objective_TimeSimOpt.hpp.

virtual void ROL::hessVec_11_new ( Vector< Real > &  hv, const Vector< Real > &  v_new, const Vector< Real > &  u_old, const Vector< Real > &  u_new, const Vector< Real > &  z, Real &  tol  )

virtual

Definition at line 167 of file ROL_Objective_TimeSimOpt.hpp.

virtual void ROL::update ( const Vector< Real > &  u, const Vector< Real > &  z, bool  flag = true, int  iter = -1  )

overridevirtual

Definition at line 174 of file ROL_Objective_TimeSimOpt.hpp.

Referenced by ROL::Constraint< Real >::applyAdjointHessian(), ROL::Constraint< Real >::applyAdjointJacobian(), ROL::Constraint< Real >::applyJacobian(), ROL::DynamicObjectiveCheck< Real >::check(), ROL::Constraint< Real >::checkApplyAdjointHessian(), ROL::Constraint< Real >::checkApplyAdjointJacobian(), ROL::Constraint< Real >::checkApplyJacobian(), ROL::Objective< Real >::checkGradient(), ROL::Objective< Real >::checkHessVec(), ROL::Objective< Real >::hessVec(), ROL::details::DynamicConstraint_CheckInterface< Real >::update_un(), ROL::details::DynamicObjective_CheckInterface< Real >::update_un(), ROL::details::DynamicConstraint_CheckInterface< Real >::update_uo(), ROL::details::DynamicObjective_CheckInterface< Real >::update_uo(), ROL::details::DynamicConstraint_CheckInterface< Real >::update_z(), and ROL::details::DynamicObjective_CheckInterface< Real >::update_z().

virtual Real ROL::value ( const Vector< Real > &  u, const Vector< Real > &  z, Real &  tol  )

overridevirtual

Definition at line 179 of file ROL_Objective_TimeSimOpt.hpp.

References value.

virtual void ROL::solve ( Vector< Real > &  c, Vector< Real > &  u, const Vector< Real > &  z  )

overridevirtual

Definition at line 184 of file ROL_Objective_TimeSimOpt.hpp.

Referenced by InnerProductMatrixSolver< Real >::inv_inner(), and ROL::details::DynamicConstraint_CheckInterface< Real >::solve_un().

virtual void ROL::gradient_1 ( Vector< Real > &  g, const Vector< Real > &  u, const Vector< Real > &  z, Real &  tol  )

overridevirtual

Definition at line 188 of file ROL_Objective_TimeSimOpt.hpp.

References gradient_1_new(), gradient_1_old(), ROL::Vector< Real >::plus(), and workspace_.

virtual void ROL::gradient_2 ( Vector< Real > &  g, const Vector< Real > &  u, const Vector< Real > &  z, Real &  tol  )

overridevirtual

Definition at line 203 of file ROL_Objective_TimeSimOpt.hpp.

References gradient_2().

virtual void ROL::hessVec_11 ( Vector< Real > &  hv, const Vector< Real > &  v, const Vector< Real > &  u, const Vector< Real > &  z, Real &  tol  )

overridevirtual

Definition at line 211 of file ROL_Objective_TimeSimOpt.hpp.

References hessVec_11().

virtual void ROL::hessVec_12 ( Vector< Real > &  hv, const Vector< Real > &  v, const Vector< Real > &  u, const Vector< Real > &  z, Real &  tol  )

overridevirtual

Definition at line 227 of file ROL_Objective_TimeSimOpt.hpp.

References ROL::Vector< Real >::zero().

virtual void ROL::hessVec_21 ( Vector< Real > &  hv, const Vector< Real > &  v, const Vector< Real > &  u, const Vector< Real > &  z, Real &  tol  )

overridevirtual

Definition at line 231 of file ROL_Objective_TimeSimOpt.hpp.

References ROL::Vector< Real >::zero().

virtual void ROL::hessVec_22 ( Vector< Real > &  hv, const Vector< Real > &  v, const Vector< Real > &  u, const Vector< Real > &  z, Real &  tol  )

overridevirtual

Definition at line 235 of file ROL_Objective_TimeSimOpt.hpp.

References ROL::Vector< Real >::zero().

template<class Real >

ROL::Ptr<Krylov<Real> > ROL::KrylovFactory ( ROL::ParameterList &  parlist )

inline

Definition at line 64 of file ROL_KrylovFactory.hpp.

References KRYLOV_CG, KRYLOV_CR, KRYLOV_GMRES, KRYLOV_MINRES, and StringToEKrylov().

template<class Real >

ROL::Ptr<LineSearch<Real> > ROL::LineSearchFactory ( ROL::ParameterList &  parlist )

inline

Definition at line 64 of file ROL_LineSearchFactory.hpp.

References LINESEARCH_BACKTRACKING, LINESEARCH_BISECTION, LINESEARCH_BRENTS, LINESEARCH_CUBICINTERP, LINESEARCH_GOLDENSECTION, LINESEARCH_ITERATIONSCALING, LINESEARCH_PATHBASEDTARGETLEVEL, and StringToELineSearch().

template<class Real >

ROL::Ptr<Secant<Real> > ROL::getSecant ( ESecant  esec = SECANT_LBFGS, int  L = 10, int  BBtype = 1  )

inline

Definition at line 60 of file ROL_SecantFactory.hpp.

References SECANT_BARZILAIBORWEIN, SECANT_LBFGS, SECANT_LDFP, and SECANT_LSR1.

template<class Real >

ROL::Ptr<Secant<Real> > ROL::SecantFactory ( ROL::ParameterList &  parlist )

inline

Definition at line 71 of file ROL_SecantFactory.hpp.

References SECANT_BARZILAIBORWEIN, SECANT_LBFGS, SECANT_LDFP, SECANT_LSR1, and StringToESecant().

template<class Real >

ROL::Ptr<TrustRegion<Real> > ROL::TrustRegionFactory ( ROL::ParameterList &  parlist )

inline

Definition at line 61 of file ROL_TrustRegionFactory.hpp.

References StringToETrustRegion(), TRUSTREGION_CAUCHYPOINT, TRUSTREGION_DOGLEG, TRUSTREGION_DOUBLEDOGLEG, TRUSTREGION_LINMORE, and TRUSTREGION_TRUNCATEDCG.

std::string ROL::ETrustRegionToString ( ETrustRegion  tr )

inline

Definition at line 71 of file ROL_TrustRegionTypes.hpp.

References TRUSTREGION_CAUCHYPOINT, TRUSTREGION_DOGLEG, TRUSTREGION_DOUBLEDOGLEG, TRUSTREGION_LAST, TRUSTREGION_LINMORE, and TRUSTREGION_TRUNCATEDCG.

Referenced by main(), ROL::TrustRegionStep< Real >::printName(), and StringToETrustRegion().

int ROL::isValidTrustRegion ( ETrustRegion  ls )

inline

Verifies validity of a TrustRegion enum.

Parameters

tr	[in] - enum of the TrustRegion

Returns

1 if the argument is a valid TrustRegion; 0 otherwise.

Definition at line 90 of file ROL_TrustRegionTypes.hpp.

References TRUSTREGION_CAUCHYPOINT, TRUSTREGION_DOGLEG, TRUSTREGION_DOUBLEDOGLEG, TRUSTREGION_LINMORE, and TRUSTREGION_TRUNCATEDCG.

ETrustRegion& ROL::operator++ ( ETrustRegion &  type )

inline

Definition at line 99 of file ROL_TrustRegionTypes.hpp.

ETrustRegion ROL::operator++ ( ETrustRegion &  type, int    )

inline

Definition at line 103 of file ROL_TrustRegionTypes.hpp.

ETrustRegion& ROL::operator-- ( ETrustRegion &  type )

inline

Definition at line 109 of file ROL_TrustRegionTypes.hpp.

ETrustRegion ROL::operator-- ( ETrustRegion &  type, int    )

inline

Definition at line 113 of file ROL_TrustRegionTypes.hpp.

ETrustRegion ROL::StringToETrustRegion ( std::string  s )

inline

Definition at line 119 of file ROL_TrustRegionTypes.hpp.

References ETrustRegionToString(), removeStringFormat(), TRUSTREGION_CAUCHYPOINT, and TRUSTREGION_LAST.

Referenced by ROL::FletcherStep< Real >::initialize(), ROL::TrustRegionStep< Real >::parseParameterList(), and TrustRegionFactory().

std::string ROL::ETrustRegionModelToString ( ETrustRegionModel  tr )

inline

Definition at line 142 of file ROL_TrustRegionTypes.hpp.

References TRUSTREGION_MODEL_COLEMANLI, TRUSTREGION_MODEL_KELLEYSACHS, TRUSTREGION_MODEL_LAST, and TRUSTREGION_MODEL_LINMORE.

Referenced by ROL::TrustRegionStep< Real >::printName(), and StringToETrustRegionModel().

int ROL::isValidTrustRegionModel ( ETrustRegionModel  ls )

inline

Verifies validity of a TrustRegionModel enum.

Parameters

tr	[in] - enum of the TrustRegionModel

Returns

1 if the argument is a valid TrustRegionModel; 0 otherwise.

Definition at line 159 of file ROL_TrustRegionTypes.hpp.

References TRUSTREGION_MODEL_COLEMANLI, TRUSTREGION_MODEL_KELLEYSACHS, and TRUSTREGION_MODEL_LINMORE.

ETrustRegionModel& ROL::operator++ ( ETrustRegionModel &  type )

inline

Definition at line 166 of file ROL_TrustRegionTypes.hpp.

ETrustRegionModel ROL::operator++ ( ETrustRegionModel &  type, int    )

inline

Definition at line 170 of file ROL_TrustRegionTypes.hpp.

ETrustRegionModel& ROL::operator-- ( ETrustRegionModel &  type )

inline

Definition at line 176 of file ROL_TrustRegionTypes.hpp.

ETrustRegionModel ROL::operator-- ( ETrustRegionModel &  type, int    )

inline

Definition at line 180 of file ROL_TrustRegionTypes.hpp.

ETrustRegionModel ROL::StringToETrustRegionModel ( std::string  s )

inline

Definition at line 186 of file ROL_TrustRegionTypes.hpp.

References ETrustRegionModelToString(), removeStringFormat(), TRUSTREGION_MODEL_COLEMANLI, and TRUSTREGION_MODEL_LAST.

Referenced by ROL::TrustRegionStep< Real >::parseParameterList(), and ROL::TrustRegion< Real >::TrustRegion().

bool ROL::isValidTrustRegionSubproblem ( ETrustRegion  etr, ETrustRegionModel  etrm, bool  isBnd  )

inline

Definition at line 196 of file ROL_TrustRegionTypes.hpp.

References TRUSTREGION_CAUCHYPOINT, TRUSTREGION_DOGLEG, TRUSTREGION_DOUBLEDOGLEG, TRUSTREGION_LINMORE, TRUSTREGION_MODEL_LINMORE, and TRUSTREGION_TRUNCATEDCG.

Referenced by ROL::TrustRegionStep< Real >::initialize().

std::string ROL::ETrustRegionFlagToString ( ETrustRegionFlag  trf )

inline

Definition at line 241 of file ROL_TrustRegionTypes.hpp.

References TRUSTREGION_FLAG_NAN, TRUSTREGION_FLAG_NPOSPREDNEG, TRUSTREGION_FLAG_NPOSPREDPOS, TRUSTREGION_FLAG_POSPREDNEG, TRUSTREGION_FLAG_QMINSUFDEC, and TRUSTREGION_FLAG_SUCCESS.

Referenced by ROL::TrustRegionStep< Real >::printHeader().

std::string ROL::EDistributionToString ( EDistribution  ed )

inline

Definition at line 90 of file ROL_DistributionFactory.hpp.

References DISTRIBUTION_ARCSINE, DISTRIBUTION_BETA, DISTRIBUTION_CAUCHY, DISTRIBUTION_DIRAC, DISTRIBUTION_EXPONENTIAL, DISTRIBUTION_GAMMA, DISTRIBUTION_GAUSSIAN, DISTRIBUTION_KUMARASWAMY, DISTRIBUTION_LAPLACE, DISTRIBUTION_LAST, DISTRIBUTION_LOGISTIC, DISTRIBUTION_PARABOLIC, DISTRIBUTION_RAISEDCOSINE, DISTRIBUTION_SMALE, DISTRIBUTION_TRIANGLE, DISTRIBUTION_TRUNCATEDEXPONENTIAL, DISTRIBUTION_TRUNCATEDGAUSSIAN, and DISTRIBUTION_UNIFORM.

Referenced by StringToEDistribution().

int ROL::isValidDistribution ( EDistribution  ed )

inline

Definition at line 116 of file ROL_DistributionFactory.hpp.

References DISTRIBUTION_ARCSINE, DISTRIBUTION_BETA, DISTRIBUTION_CAUCHY, DISTRIBUTION_DIRAC, DISTRIBUTION_EXPONENTIAL, DISTRIBUTION_GAMMA, DISTRIBUTION_GAUSSIAN, DISTRIBUTION_KUMARASWAMY, DISTRIBUTION_LAPLACE, DISTRIBUTION_LOGISTIC, DISTRIBUTION_PARABOLIC, DISTRIBUTION_RAISEDCOSINE, DISTRIBUTION_SMALE, DISTRIBUTION_TRIANGLE, DISTRIBUTION_TRUNCATEDEXPONENTIAL, DISTRIBUTION_TRUNCATEDGAUSSIAN, and DISTRIBUTION_UNIFORM.

EDistribution& ROL::operator++ ( EDistribution &  type )

inline

Definition at line 136 of file ROL_DistributionFactory.hpp.

EDistribution ROL::operator++ ( EDistribution &  type, int    )

inline

Definition at line 140 of file ROL_DistributionFactory.hpp.

EDistribution& ROL::operator-- ( EDistribution &  type )

inline

Definition at line 146 of file ROL_DistributionFactory.hpp.

EDistribution ROL::operator-- ( EDistribution &  type, int    )

inline

Definition at line 150 of file ROL_DistributionFactory.hpp.

EDistribution ROL::StringToEDistribution ( std::string  s )

inline

Definition at line 156 of file ROL_DistributionFactory.hpp.

References DISTRIBUTION_ARCSINE, DISTRIBUTION_LAST, DISTRIBUTION_UNIFORM, EDistributionToString(), and removeStringFormat().

Referenced by DistributionFactory().

template<class Real >

ROL::Ptr<Distribution<Real> > ROL::DistributionFactory ( ROL::ParameterList &  parlist )

inline

Definition at line 167 of file ROL_DistributionFactory.hpp.

References DISTRIBUTION_ARCSINE, DISTRIBUTION_BETA, DISTRIBUTION_CAUCHY, DISTRIBUTION_DIRAC, DISTRIBUTION_EXPONENTIAL, DISTRIBUTION_GAMMA, DISTRIBUTION_GAUSSIAN, DISTRIBUTION_KUMARASWAMY, DISTRIBUTION_LAPLACE, DISTRIBUTION_LOGISTIC, DISTRIBUTION_PARABOLIC, DISTRIBUTION_RAISEDCOSINE, DISTRIBUTION_SMALE, DISTRIBUTION_TRIANGLE, DISTRIBUTION_TRUNCATEDEXPONENTIAL, DISTRIBUTION_TRUNCATEDGAUSSIAN, DISTRIBUTION_UNIFORM, and StringToEDistribution().

std::string ROL::EDeviationMeasureToString ( EDeviationMeasure  ed )

inline

Definition at line 76 of file ROL_DeviationMeasureFactory.hpp.

References DEVIATIONMEASURE_GENMOREAUYOSIDACVAR, DEVIATIONMEASURE_LAST, DEVIATIONMEASURE_LOGEXPONENTIALQUADRANGLE, DEVIATIONMEASURE_LOGQUANTILEQUADRANGLE, DEVIATIONMEASURE_MEANVARIANCEQUADRANGLE, DEVIATIONMEASURE_MOREAUYOSIDACVAR, DEVIATIONMEASURE_QUANTILEQUADRANGLE, DEVIATIONMEASURE_SMOOTHEDWORSTCASEQUADRANGLE, and DEVIATIONMEASURE_TRUNCATEDMEANQUADRANGLE.

Referenced by StringToEDeviationMeasure().

int ROL::isValidDeviationMeasure ( EDeviationMeasure  ed )

inline

Definition at line 103 of file ROL_DeviationMeasureFactory.hpp.

References DEVIATIONMEASURE_GENMOREAUYOSIDACVAR, DEVIATIONMEASURE_LOGEXPONENTIALQUADRANGLE, DEVIATIONMEASURE_LOGQUANTILEQUADRANGLE, DEVIATIONMEASURE_MEANVARIANCEQUADRANGLE, DEVIATIONMEASURE_MOREAUYOSIDACVAR, DEVIATIONMEASURE_QUANTILEQUADRANGLE, DEVIATIONMEASURE_SMOOTHEDWORSTCASEQUADRANGLE, and DEVIATIONMEASURE_TRUNCATEDMEANQUADRANGLE.

EDeviationMeasure& ROL::operator++ ( EDeviationMeasure &  type )

inline

Definition at line 114 of file ROL_DeviationMeasureFactory.hpp.

EDeviationMeasure ROL::operator++ ( EDeviationMeasure &  type, int    )

inline

Definition at line 118 of file ROL_DeviationMeasureFactory.hpp.

EDeviationMeasure& ROL::operator-- ( EDeviationMeasure &  type )

inline

Definition at line 124 of file ROL_DeviationMeasureFactory.hpp.

EDeviationMeasure ROL::operator-- ( EDeviationMeasure &  type, int    )

inline

Definition at line 128 of file ROL_DeviationMeasureFactory.hpp.

EDeviationMeasure ROL::StringToEDeviationMeasure ( std::string  s )

inline

Definition at line 134 of file ROL_DeviationMeasureFactory.hpp.

References DEVIATIONMEASURE_LAST, DEVIATIONMEASURE_MEANVARIANCEQUADRANGLE, EDeviationMeasureToString(), and removeStringFormat().

Referenced by DeviationMeasureFactory(), and ROL::PH_DeviationObjective< Real >::PH_DeviationObjective().

template<class Real >

Ptr<RandVarFunctional<Real> > ROL::DeviationMeasureFactory ( ROL::ParameterList &  parlist )

inline

Definition at line 145 of file ROL_DeviationMeasureFactory.hpp.

References DEVIATIONMEASURE_GENMOREAUYOSIDACVAR, DEVIATIONMEASURE_LOGEXPONENTIALQUADRANGLE, DEVIATIONMEASURE_LOGQUANTILEQUADRANGLE, DEVIATIONMEASURE_MEANVARIANCEQUADRANGLE, DEVIATIONMEASURE_MOREAUYOSIDACVAR, DEVIATIONMEASURE_QUANTILEQUADRANGLE, DEVIATIONMEASURE_SMOOTHEDWORSTCASEQUADRANGLE, DEVIATIONMEASURE_TRUNCATEDMEANQUADRANGLE, and StringToEDeviationMeasure().

template<class Real >

void ROL::DeviationMeasureInfo ( ROL::ParameterList &  parlist, std::string &  name, int &  nStatistic, std::vector< Real > &  lower, std::vector< Real > &  upper, bool &  isBoundActivated, const bool  printToStream = false, std::ostream &  outStream = std::cout  )

inline

Definition at line 53 of file ROL_DeviationMeasureInfo.hpp.

std::string ROL::EErrorMeasureToString ( EErrorMeasure  ed )

inline

Definition at line 76 of file ROL_ErrorMeasureFactory.hpp.

References ERRORMEASURE_GENMOREAUYOSIDACVAR, ERRORMEASURE_LAST, ERRORMEASURE_LOGEXPONENTIALQUADRANGLE, ERRORMEASURE_LOGQUANTILEQUADRANGLE, ERRORMEASURE_MEANVARIANCEQUADRANGLE, ERRORMEASURE_MOREAUYOSIDACVAR, ERRORMEASURE_QUANTILEQUADRANGLE, ERRORMEASURE_SMOOTHEDWORSTCASEQUADRANGLE, and ERRORMEASURE_TRUNCATEDMEANQUADRANGLE.

Referenced by StringToEErrorMeasure().

int ROL::isValidErrorMeasure ( EErrorMeasure  ed )

inline

Definition at line 103 of file ROL_ErrorMeasureFactory.hpp.

References ERRORMEASURE_GENMOREAUYOSIDACVAR, ERRORMEASURE_LOGEXPONENTIALQUADRANGLE, ERRORMEASURE_LOGQUANTILEQUADRANGLE, ERRORMEASURE_MEANVARIANCEQUADRANGLE, ERRORMEASURE_MOREAUYOSIDACVAR, ERRORMEASURE_QUANTILEQUADRANGLE, ERRORMEASURE_SMOOTHEDWORSTCASEQUADRANGLE, and ERRORMEASURE_TRUNCATEDMEANQUADRANGLE.

EErrorMeasure& ROL::operator++ ( EErrorMeasure &  type )

inline

Definition at line 114 of file ROL_ErrorMeasureFactory.hpp.

EErrorMeasure ROL::operator++ ( EErrorMeasure &  type, int    )

inline

Definition at line 118 of file ROL_ErrorMeasureFactory.hpp.

EErrorMeasure& ROL::operator-- ( EErrorMeasure &  type )

inline

Definition at line 124 of file ROL_ErrorMeasureFactory.hpp.

EErrorMeasure ROL::operator-- ( EErrorMeasure &  type, int    )

inline

Definition at line 128 of file ROL_ErrorMeasureFactory.hpp.

EErrorMeasure ROL::StringToEErrorMeasure ( std::string  s )

inline

Definition at line 134 of file ROL_ErrorMeasureFactory.hpp.

References EErrorMeasureToString(), ERRORMEASURE_LAST, ERRORMEASURE_MEANVARIANCEQUADRANGLE, and removeStringFormat().

Referenced by ErrorMeasureFactory(), and ROL::PH_ErrorObjective< Real >::PH_ErrorObjective().

template<class Real >

Ptr<RandVarFunctional<Real> > ROL::ErrorMeasureFactory ( ROL::ParameterList &  parlist )

inline

Definition at line 145 of file ROL_ErrorMeasureFactory.hpp.

References ERRORMEASURE_GENMOREAUYOSIDACVAR, ERRORMEASURE_LOGEXPONENTIALQUADRANGLE, ERRORMEASURE_LOGQUANTILEQUADRANGLE, ERRORMEASURE_MEANVARIANCEQUADRANGLE, ERRORMEASURE_MOREAUYOSIDACVAR, ERRORMEASURE_QUANTILEQUADRANGLE, ERRORMEASURE_SMOOTHEDWORSTCASEQUADRANGLE, ERRORMEASURE_TRUNCATEDMEANQUADRANGLE, and StringToEErrorMeasure().

template<class Real >

void ROL::ErrorMeasureInfo ( ROL::ParameterList &  parlist, std::string &  name, int &  nStatistic, std::vector< Real > &  lower, std::vector< Real > &  upper, bool &  isBoundActivated, const bool  printToStream = false, std::ostream &  outStream = std::cout  )

inline

Definition at line 53 of file ROL_ErrorMeasureInfo.hpp.

std::string ROL::EProbabilityToString ( EProbability  ed )

inline

Definition at line 61 of file ROL_ProbabilityFactory.hpp.

References PROBABILITY_BPOE, PROBABILITY_LAST, and PROBABILITY_SMOOTHEDPOE.

Referenced by StringToEProbability().

int ROL::isValidProbability ( EProbability  ed )

inline

Definition at line 76 of file ROL_ProbabilityFactory.hpp.

References PROBABILITY_BPOE, and PROBABILITY_SMOOTHEDPOE.

EProbability& ROL::operator++ ( EProbability &  type )

inline

Definition at line 81 of file ROL_ProbabilityFactory.hpp.

EProbability ROL::operator++ ( EProbability &  type, int    )

inline

Definition at line 85 of file ROL_ProbabilityFactory.hpp.

EProbability& ROL::operator-- ( EProbability &  type )

inline

Definition at line 91 of file ROL_ProbabilityFactory.hpp.

EProbability ROL::operator-- ( EProbability &  type, int    )

inline

Definition at line 95 of file ROL_ProbabilityFactory.hpp.

EProbability ROL::StringToEProbability ( std::string  s )

inline

Definition at line 101 of file ROL_ProbabilityFactory.hpp.

References EProbabilityToString(), PROBABILITY_BPOE, PROBABILITY_LAST, and removeStringFormat().

Referenced by ProbabilityFactory().

template<class Real >

Ptr<RandVarFunctional<Real> > ROL::ProbabilityFactory ( ROL::ParameterList &  parlist )

inline

Definition at line 112 of file ROL_ProbabilityFactory.hpp.

References PROBABILITY_BPOE, PROBABILITY_SMOOTHEDPOE, and StringToEProbability().

template<class Real >

void ROL::ProbabilityInfo ( ROL::ParameterList &  parlist, std::string &  name, int &  nStatistic, std::vector< Real > &  lower, std::vector< Real > &  upper, bool &  isBoundActivated, const bool  printToStream = false, std::ostream &  outStream = std::cout  )

inline

Definition at line 53 of file ROL_ProbabilityInfo.hpp.

References zero.

std::string ROL::ERegretMeasureToString ( ERegretMeasure  ed )

inline

Definition at line 73 of file ROL_RegretMeasureFactory.hpp.

References REGRETMEASURE_EXPONENTIAL, REGRETMEASURE_GENMOREAUYOSIDAMEANABSOLUTELOSS, REGRETMEASURE_LAST, REGRETMEASURE_LOGQUANTILE, REGRETMEASURE_MEANABSOLUTELOSS, REGRETMEASURE_MEANL2, REGRETMEASURE_MOREAUYOSIDAMEANABSOLUTELOSS, REGRETMEASURE_SMOOTHEDWORSTCASE, and REGRETMEASURE_TRUNCATEDMEAN.

Referenced by StringToERegretMeasure().

int ROL::isValidRegretMeasure ( ERegretMeasure  ed )

inline

Definition at line 100 of file ROL_RegretMeasureFactory.hpp.

References REGRETMEASURE_EXPONENTIAL, REGRETMEASURE_GENMOREAUYOSIDAMEANABSOLUTELOSS, REGRETMEASURE_LOGQUANTILE, REGRETMEASURE_MEANABSOLUTELOSS, REGRETMEASURE_MEANL2, REGRETMEASURE_MOREAUYOSIDAMEANABSOLUTELOSS, REGRETMEASURE_SMOOTHEDWORSTCASE, and REGRETMEASURE_TRUNCATEDMEAN.

ERegretMeasure& ROL::operator++ ( ERegretMeasure &  type )

inline

Definition at line 111 of file ROL_RegretMeasureFactory.hpp.

ERegretMeasure ROL::operator++ ( ERegretMeasure &  type, int    )

inline

Definition at line 115 of file ROL_RegretMeasureFactory.hpp.

ERegretMeasure& ROL::operator-- ( ERegretMeasure &  type )

inline

Definition at line 121 of file ROL_RegretMeasureFactory.hpp.

ERegretMeasure ROL::operator-- ( ERegretMeasure &  type, int    )

inline

Definition at line 125 of file ROL_RegretMeasureFactory.hpp.

ERegretMeasure ROL::StringToERegretMeasure ( std::string  s )

inline

Definition at line 131 of file ROL_RegretMeasureFactory.hpp.

References ERegretMeasureToString(), REGRETMEASURE_LAST, REGRETMEASURE_MEANABSOLUTELOSS, and removeStringFormat().

Referenced by ROL::PH_RegretObjective< Real >::PH_RegretObjective(), and RegretMeasureFactory().

template<class Real >

Ptr<RandVarFunctional<Real> > ROL::RegretMeasureFactory ( ROL::ParameterList &  parlist )

inline

Definition at line 142 of file ROL_RegretMeasureFactory.hpp.

References REGRETMEASURE_EXPONENTIAL, REGRETMEASURE_GENMOREAUYOSIDAMEANABSOLUTELOSS, REGRETMEASURE_LOGQUANTILE, REGRETMEASURE_MEANABSOLUTELOSS, REGRETMEASURE_MEANL2, REGRETMEASURE_MOREAUYOSIDAMEANABSOLUTELOSS, REGRETMEASURE_SMOOTHEDWORSTCASE, REGRETMEASURE_TRUNCATEDMEAN, and StringToERegretMeasure().

template<class Real >

void ROL::RegretMeasureInfo ( ROL::ParameterList &  parlist, std::string &  name, int &  nStatistic, std::vector< Real > &  lower, std::vector< Real > &  upper, bool &  isBoundActivated, const bool  printToStream = false, std::ostream &  outStream = std::cout  )

inline

Definition at line 53 of file ROL_RegretMeasureInfo.hpp.

std::string ROL::ERiskMeasureToString ( ERiskMeasure  ed )

inline

Definition at line 112 of file ROL_RiskMeasureFactory.hpp.

References RISKMEASURE_CHEBYSHEVSPECTRAL, RISKMEASURE_CHI2DIVERGENCE, RISKMEASURE_COHERENTENTROPICRISK, RISKMEASURE_CVAR, RISKMEASURE_ENTROPICRISK, RISKMEASURE_GENMOREAUYOSIDACVAR, RISKMEASURE_HMCR, RISKMEASURE_KLDIVERGENCE, RISKMEASURE_LAST, RISKMEASURE_LOGEXPONENTIAL, RISKMEASURE_LOGQUANTILE, RISKMEASURE_MEANDEVIATION, RISKMEASURE_MEANDEVIATIONFROMTARGET, RISKMEASURE_MEANSEMIDEVIATION, RISKMEASURE_MEANSEMIDEVIATIONFROMTARGET, RISKMEASURE_MEANVARIANCE, RISKMEASURE_MEANVARIANCEFROMTARGET, RISKMEASURE_MIXEDCVAR, RISKMEASURE_MOREAUYOSIDACVAR, RISKMEASURE_QUANTILERADIUS, RISKMEASURE_SAFETYMARGIN, RISKMEASURE_SECONDORDERCVAR, RISKMEASURE_SMOOTHEDWORSTCASE, RISKMEASURE_SPECTRALRISK, and RISKMEASURE_TRUNCATEDMEAN.

Referenced by StringToERiskMeasure().

int ROL::isValidRiskMeasure ( ERiskMeasure  ed )

inline

Definition at line 171 of file ROL_RiskMeasureFactory.hpp.

References RISKMEASURE_CHEBYSHEVSPECTRAL, RISKMEASURE_CHI2DIVERGENCE, RISKMEASURE_COHERENTENTROPICRISK, RISKMEASURE_CVAR, RISKMEASURE_ENTROPICRISK, RISKMEASURE_GENMOREAUYOSIDACVAR, RISKMEASURE_HMCR, RISKMEASURE_KLDIVERGENCE, RISKMEASURE_LOGEXPONENTIAL, RISKMEASURE_LOGQUANTILE, RISKMEASURE_MEANDEVIATION, RISKMEASURE_MEANDEVIATIONFROMTARGET, RISKMEASURE_MEANSEMIDEVIATION, RISKMEASURE_MEANSEMIDEVIATIONFROMTARGET, RISKMEASURE_MEANVARIANCE, RISKMEASURE_MEANVARIANCEFROMTARGET, RISKMEASURE_MIXEDCVAR, RISKMEASURE_MOREAUYOSIDACVAR, RISKMEASURE_QUANTILERADIUS, RISKMEASURE_SAFETYMARGIN, RISKMEASURE_SECONDORDERCVAR, RISKMEASURE_SMOOTHEDWORSTCASE, RISKMEASURE_SPECTRALRISK, and RISKMEASURE_TRUNCATEDMEAN.

ERiskMeasure& ROL::operator++ ( ERiskMeasure &  type )

inline

Definition at line 198 of file ROL_RiskMeasureFactory.hpp.

ERiskMeasure ROL::operator++ ( ERiskMeasure &  type, int    )

inline

Definition at line 202 of file ROL_RiskMeasureFactory.hpp.

ERiskMeasure& ROL::operator-- ( ERiskMeasure &  type )

inline

Definition at line 208 of file ROL_RiskMeasureFactory.hpp.

ERiskMeasure ROL::operator-- ( ERiskMeasure &  type, int    )

inline

Definition at line 212 of file ROL_RiskMeasureFactory.hpp.

ERiskMeasure ROL::StringToERiskMeasure ( std::string  s )

inline

Definition at line 218 of file ROL_RiskMeasureFactory.hpp.

References ERiskMeasureToString(), removeStringFormat(), RISKMEASURE_CVAR, and RISKMEASURE_LAST.

Referenced by ROL::PH_RiskObjective< Real >::PH_RiskObjective(), and RiskMeasureFactory().

template<class Real >

Ptr<RandVarFunctional<Real> > ROL::RiskMeasureFactory ( ROL::ParameterList &  parlist )

inline

Definition at line 229 of file ROL_RiskMeasureFactory.hpp.

References RISKMEASURE_CHEBYSHEVSPECTRAL, RISKMEASURE_CHI2DIVERGENCE, RISKMEASURE_COHERENTENTROPICRISK, RISKMEASURE_CVAR, RISKMEASURE_ENTROPICRISK, RISKMEASURE_GENMOREAUYOSIDACVAR, RISKMEASURE_HMCR, RISKMEASURE_KLDIVERGENCE, RISKMEASURE_LOGEXPONENTIAL, RISKMEASURE_LOGQUANTILE, RISKMEASURE_MEANDEVIATION, RISKMEASURE_MEANDEVIATIONFROMTARGET, RISKMEASURE_MEANSEMIDEVIATION, RISKMEASURE_MEANSEMIDEVIATIONFROMTARGET, RISKMEASURE_MEANVARIANCE, RISKMEASURE_MEANVARIANCEFROMTARGET, RISKMEASURE_MIXEDCVAR, RISKMEASURE_MOREAUYOSIDACVAR, RISKMEASURE_QUANTILERADIUS, RISKMEASURE_SAFETYMARGIN, RISKMEASURE_SECONDORDERCVAR, RISKMEASURE_SMOOTHEDWORSTCASE, RISKMEASURE_SPECTRALRISK, RISKMEASURE_TRUNCATEDMEAN, and StringToERiskMeasure().

template<class Real >

void ROL::RiskMeasureInfo ( ROL::ParameterList &  parlist, std::string &  name, int &  nStatistic, std::vector< Real > &  lower, std::vector< Real > &  upper, bool &  isBoundActivated, const bool  printToStream = false, std::ostream &  outStream = std::cout  )

inline

Definition at line 53 of file ROL_RiskMeasureInfo.hpp.

References zero.

Referenced by ROL::ConvexCombinationRiskMeasure< Real >::ConvexCombinationRiskMeasure().

template<class Real >

Ptr<RandVarFunctional<Real> > ROL::RandVarFunctionalFactory ( ROL::ParameterList &  parlist )

inline

Definition at line 56 of file ROL_RandVarFunctionalFactory.hpp.

template<class Real >

void ROL::RandVarFunctionalInfo ( ROL::ParameterList &  parlist, std::string &  name, int &  nStatistic, std::vector< Real > &  lower, std::vector< Real > &  upper, bool &  isBoundActivated, const bool  printToStream = false, std::ostream &  outStream = std::cout  )

inline

Definition at line 56 of file ROL_RandVarFunctionalInfo.hpp.

template<class Real >

ROL::Ptr<Vector<Real> > ROL::CreateSimulatedVector	(	const ROL::Ptr< Vector< Real >> &	a,
		const ROL::Ptr< BatchManager< Real >> &	bman
	)

Definition at line 290 of file ROL_SimulatedVector.hpp.

template<class Real >

ROL::Ptr<const Vector<Real> > ROL::CreateSimulatedVector	(	const ROL::Ptr< const Vector< Real > > &	a,
		const ROL::Ptr< BatchManager< Real > > &	bman
	)

Definition at line 437 of file ROL_SimulatedVector.hpp.

template<class Real >

ROL::Ptr<Vector<Real> > ROL::CreateSimulatedVector	(	const ROL::Ptr< Vector< Real > > &	a,
		const ROL::Ptr< Vector< Real > > &	b,
		const ROL::Ptr< BatchManager< Real > > &	bman
	)

Definition at line 449 of file ROL_SimulatedVector.hpp.

template<class Real >

ROL::Ptr<const Vector<Real> > ROL::CreateSimulatedVector	(	const ROL::Ptr< const Vector< Real > > &	a,
		const ROL::Ptr< const Vector< Real > > &	b,
		const ROL::Ptr< BatchManager< Real > > &	bman
	)

Definition at line 462 of file ROL_SimulatedVector.hpp.

template<class Real >

ROL::Ptr<Vector<Real> > ROL::CreateSimulatedVector	(	const ROL::Ptr< Vector< Real > > &	a,
		const ROL::Ptr< Vector< Real > > &	b,
		const ROL::Ptr< Vector< Real > > &	c,
		const ROL::Ptr< BatchManager< Real > > &	bman
	)

Definition at line 476 of file ROL_SimulatedVector.hpp.

template<class Real >

ROL::Ptr<const Vector<Real> > ROL::CreateSimulatedVector	(	const ROL::Ptr< const Vector< Real > > &	a,
		const ROL::Ptr< const Vector< Real > > &	b,
		const ROL::Ptr< const Vector< Real > > &	c,
		const ROL::Ptr< BatchManager< Real > > &	bman
	)

Definition at line 491 of file ROL_SimulatedVector.hpp.

template<class Real >

ROL::Ptr<Vector<Real> > ROL::CreateSimulatedVector	(	const ROL::Ptr< Vector< Real > > &	a,
		const ROL::Ptr< Vector< Real > > &	b,
		const ROL::Ptr< Vector< Real > > &	c,
		const ROL::Ptr< Vector< Real > > &	d,
		const ROL::Ptr< BatchManager< Real > > &	bman
	)

Definition at line 506 of file ROL_SimulatedVector.hpp.

template<class Real >

ROL::Ptr<const Vector<Real> > ROL::CreateSimulatedVector	(	const ROL::Ptr< const Vector< Real > > &	a,
		const ROL::Ptr< const Vector< Real > > &	b,
		const ROL::Ptr< const Vector< Real > > &	c,
		const ROL::Ptr< const Vector< Real > > &	d,
		const ROL::Ptr< BatchManager< Real > > &	bman
	)

Definition at line 522 of file ROL_SimulatedVector.hpp.

template<class Real >

Teuchos::SerialDenseMatrix<int, Real> ROL::computeDenseHessian	(	Objective< Real > &	obj,
		const Vector< Real > &	x
	)

Definition at line 63 of file ROL_HelperFunctions.hpp.

References ROL::Vector< Real >::basis(), ROL::Vector< Real >::clone(), ROL::Vector< Real >::dimension(), ROL::Vector< Real >::dual(), and ROL::Objective< Real >::hessVec().

Referenced by main().

template<class Real >

Teuchos::SerialDenseMatrix<int, Real> ROL::computeScaledDenseHessian	(	Objective< Real > &	obj,
		const Vector< Real > &	x
	)

Definition at line 88 of file ROL_HelperFunctions.hpp.

References ROL::Vector< Real >::clone(), ROL::Vector< Real >::dimension(), ROL::Vector< Real >::dual(), and ROL::Objective< Real >::hessVec().

template<class Real >

Teuchos::SerialDenseMatrix<int, Real> ROL::computeDotMatrix

(

const Vector< Real > &

x

)

Definition at line 114 of file ROL_HelperFunctions.hpp.

References ROL::Vector< Real >::basis(), ROL::Vector< Real >::clone(), and ROL::Vector< Real >::dimension().

Referenced by main().

template<class Real >

std::vector<std::vector<Real> > ROL::computeEigenvalues

(

const Teuchos::SerialDenseMatrix< int, Real > &

mat

)

Definition at line 135 of file ROL_HelperFunctions.hpp.

Referenced by main().

template<class Real >

std::vector<std::vector<Real> > ROL::computeGenEigenvalues	(	const Teuchos::SerialDenseMatrix< int, Real > &	A,
		const Teuchos::SerialDenseMatrix< int, Real > &	B
	)

Definition at line 173 of file ROL_HelperFunctions.hpp.

template<class Real >

Teuchos::SerialDenseMatrix<int, Real> ROL::computeInverse

(

const Teuchos::SerialDenseMatrix< int, Real > &

mat

)

Definition at line 220 of file ROL_HelperFunctions.hpp.

template<class ParameterType >

void ROL::setParameter	(	ROL::ParameterList &	parlist,
		const std::vector< std::string > &	location,
		const std::vector< std::string >::iterator	iter,
		ParameterType	value
	)

Definition at line 112 of file ROL_ParameterListConverters.hpp.

Referenced by tierParameterList().

void ROL::tierParameterList ( ROL::ParameterList &  outList, const ROL::ParameterList &  inList  )

inline

Produce a heirarchical parameter list using the new names from a flat list of the old names.

Definition at line 131 of file ROL_ParameterListConverters.hpp.

References ROL::StringList::join(), removeStringFormat(), setParameter(), and value.

template<class T >

std::string ROL::NumberToString

(

T

Number

)

Definition at line 81 of file ROL_Types.hpp.

Referenced by ROL::TrustRegionStep< Real >::printHeader().

template<class Real >

Real ROL::ROL_EPSILON ( void  )

inline

Platform-dependent machine epsilon.

Definition at line 91 of file ROL_Types.hpp.

template<class Real >

Real ROL::ROL_THRESHOLD ( void  )

inline

Tolerance for various equality tests.

Definition at line 97 of file ROL_Types.hpp.

template<class Real >

Real ROL::ROL_OVERFLOW ( void  )

inline

Platform-dependent maximum double.

Definition at line 102 of file ROL_Types.hpp.

template<class Real >

Real ROL::ROL_INF ( void  )

inline

Definition at line 105 of file ROL_Types.hpp.

template<class Real >

Real ROL::ROL_NINF ( void  )

inline

Definition at line 108 of file ROL_Types.hpp.

template<class Real >

Real ROL::ROL_UNDERFLOW ( void  )

inline

Platform-dependent minimum double.

Definition at line 113 of file ROL_Types.hpp.

std::string ROL::EExitStatusToString ( EExitStatus  tr )

inline

Definition at line 126 of file ROL_Types.hpp.

References EXITSTATUS_CONVERGED, EXITSTATUS_LAST, EXITSTATUS_MAXITER, EXITSTATUS_NAN, EXITSTATUS_STEPTOL, and EXITSTATUS_USERDEFINED.

Referenced by ROL::Algorithm< Real >::run().

std::string ROL::removeStringFormat ( std::string  s )

inline

Definition at line 247 of file ROL_Types.hpp.

Referenced by ROL::ObjectiveFromBoundConstraint< Real >::StringToEBarrierType(), StringToECurvatureCondition(), StringToEDescent(), StringToEDeviationMeasure(), StringToEDistribution(), StringToEErrorMeasure(), StringToEKrylov(), StringToELineSearch(), StringToENonlinearCG(), StringToEProbability(), StringToERegretMeasure(), StringToERiskMeasure(), StringToESecant(), StringToEStep(), StringToETestOptProblem(), StringToETrustRegion(), StringToETrustRegionModel(), and tierParameterList().

std::string ROL::EStepToString ( EStep  tr )

inline

Definition at line 287 of file ROL_Types.hpp.

References STEP_AUGMENTEDLAGRANGIAN, STEP_BUNDLE, STEP_COMPOSITESTEP, STEP_FLETCHER, STEP_INTERIORPOINT, STEP_LAST, STEP_LINESEARCH, STEP_MOREAUYOSIDAPENALTY, STEP_PRIMALDUALACTIVESET, and STEP_TRUSTREGION.

Referenced by ROL::OptimizationSolver< Real >::OptimizationSolver(), and StringToEStep().

bool ROL::isCompatibleStep ( EProblem  p, EStep  s  )

inline

Definition at line 305 of file ROL_Types.hpp.

References STEP_AUGMENTEDLAGRANGIAN, STEP_BUNDLE, STEP_COMPOSITESTEP, STEP_FLETCHER, STEP_INTERIORPOINT, STEP_LINESEARCH, STEP_MOREAUYOSIDAPENALTY, STEP_PRIMALDUALACTIVESET, STEP_TRUSTREGION, TYPE_B, TYPE_E, TYPE_EB, TYPE_LAST, and TYPE_U.

Referenced by ROL::OptimizationSolver< Real >::OptimizationSolver().

std::string ROL::EProblemToString ( EProblem  p )

inline

Definition at line 338 of file ROL_Types.hpp.

References TYPE_B, TYPE_E, TYPE_EB, TYPE_LAST, and TYPE_U.

int ROL::isValidStep ( EStep  ls )

inline

Verifies validity of a TrustRegion enum.

Parameters

tr	[in] - enum of the TrustRegion

Returns

1 if the argument is a valid TrustRegion; 0 otherwise.

Definition at line 357 of file ROL_Types.hpp.

References STEP_AUGMENTEDLAGRANGIAN, STEP_BUNDLE, STEP_COMPOSITESTEP, STEP_FLETCHER, STEP_INTERIORPOINT, STEP_LINESEARCH, STEP_MOREAUYOSIDAPENALTY, STEP_PRIMALDUALACTIVESET, and STEP_TRUSTREGION.

Referenced by ROL::Algorithm< Real >::Algorithm().

EStep& ROL::operator++ ( EStep &  type )

inline

Definition at line 369 of file ROL_Types.hpp.

EStep ROL::operator++ ( EStep &  type, int    )

inline

Definition at line 373 of file ROL_Types.hpp.

EStep& ROL::operator-- ( EStep &  type )

inline

Definition at line 379 of file ROL_Types.hpp.

EStep ROL::operator-- ( EStep &  type, int    )

inline

Definition at line 383 of file ROL_Types.hpp.

EStep ROL::StringToEStep ( std::string  s )

inline

Definition at line 389 of file ROL_Types.hpp.

References EStepToString(), removeStringFormat(), STEP_AUGMENTEDLAGRANGIAN, and STEP_LAST.

Referenced by ROL::Algorithm< Real >::Algorithm(), ROL::StatusTestFactory< Real >::getStatusTest(), ROL::StepFactory< Real >::getStep(), ROL::InteriorPointStep< Real >::InteriorPointStep(), ROL::MoreauYosidaPenaltyStep< Real >::MoreauYosidaPenaltyStep(), and ROL::OptimizationSolver< Real >::OptimizationSolver().

std::string ROL::EDescentToString ( EDescent  tr )

inline

Definition at line 418 of file ROL_Types.hpp.

References DESCENT_LAST, DESCENT_NEWTON, DESCENT_NEWTONKRYLOV, DESCENT_NONLINEARCG, DESCENT_SECANT, and DESCENT_STEEPEST.

Referenced by main(), ROL::NewtonStep< Real >::printHeader(), ROL::GradientStep< Real >::printHeader(), ROL::NonlinearCGStep< Real >::printHeader(), ROL::SecantStep< Real >::printHeader(), ROL::ProjectedNewtonStep< Real >::printHeader(), ROL::ProjectedSecantStep< Real >::printHeader(), ROL::NewtonKrylovStep< Real >::printHeader(), ROL::ProjectedNewtonKrylovStep< Real >::printHeader(), ROL::NewtonStep< Real >::printName(), ROL::GradientStep< Real >::printName(), ROL::NonlinearCGStep< Real >::printName(), ROL::SecantStep< Real >::printName(), ROL::ProjectedNewtonStep< Real >::printName(), ROL::ProjectedSecantStep< Real >::printName(), ROL::NewtonKrylovStep< Real >::printName(), ROL::ProjectedNewtonKrylovStep< Real >::printName(), and StringToEDescent().

int ROL::isValidDescent ( EDescent  d )

inline

Verifies validity of a Secant enum.

Parameters

tr	[in] - enum of the Secant

Returns

1 if the argument is a valid Secant; 0 otherwise.

Definition at line 437 of file ROL_Types.hpp.

References DESCENT_NEWTON, DESCENT_NEWTONKRYLOV, DESCENT_NONLINEARCG, DESCENT_SECANT, and DESCENT_STEEPEST.

EDescent& ROL::operator++ ( EDescent &  type )

inline

Definition at line 446 of file ROL_Types.hpp.

EDescent ROL::operator++ ( EDescent &  type, int    )

inline

Definition at line 450 of file ROL_Types.hpp.

EDescent& ROL::operator-- ( EDescent &  type )

inline

Definition at line 456 of file ROL_Types.hpp.

EDescent ROL::operator-- ( EDescent &  type, int    )

inline

Definition at line 460 of file ROL_Types.hpp.

EDescent ROL::StringToEDescent ( std::string  s )

inline

Definition at line 466 of file ROL_Types.hpp.

References DESCENT_LAST, DESCENT_SECANT, DESCENT_STEEPEST, EDescentToString(), and removeStringFormat().

Referenced by ROL::LineSearchStep< Real >::initialize(), ROL::LineSearch< Real >::LineSearch(), and ROL::ScalarMinimizationLineSearch< Real >::ScalarMinimizationLineSearch().

std::string ROL::ESecantToString ( ESecant  tr )

inline

Definition at line 493 of file ROL_Types.hpp.

References SECANT_BARZILAIBORWEIN, SECANT_LAST, SECANT_LBFGS, SECANT_LDFP, SECANT_LSR1, and SECANT_USERDEFINED.

Referenced by ROL::ProjectedSecantStep< Real >::printName(), ROL::NewtonKrylovStep< Real >::printName(), ROL::TrustRegionStep< Real >::printName(), and StringToESecant().

int ROL::isValidSecant ( ESecant  s )

inline

Verifies validity of a Secant enum.

Parameters

tr	[in] - enum of the Secant

Returns

1 if the argument is a valid Secant; 0 otherwise.

Definition at line 512 of file ROL_Types.hpp.

References SECANT_BARZILAIBORWEIN, SECANT_LBFGS, SECANT_LDFP, SECANT_LSR1, and SECANT_USERDEFINED.

ESecant& ROL::operator++ ( ESecant &  type )

inline

Definition at line 521 of file ROL_Types.hpp.

ESecant ROL::operator++ ( ESecant &  type, int    )

inline

Definition at line 525 of file ROL_Types.hpp.

ESecant& ROL::operator-- ( ESecant &  type )

inline

Definition at line 531 of file ROL_Types.hpp.

ESecant ROL::operator-- ( ESecant &  type, int    )

inline

Definition at line 535 of file ROL_Types.hpp.

ESecant ROL::StringToESecant ( std::string  s )

inline

Definition at line 541 of file ROL_Types.hpp.

References ESecantToString(), removeStringFormat(), SECANT_LAST, and SECANT_LBFGS.

Referenced by ROL::NewtonKrylovStep< Real >::NewtonKrylovStep(), ROL::PrimalDualActiveSetStep< Real >::PrimalDualActiveSetStep(), ROL::ProjectedNewtonKrylovStep< Real >::ProjectedNewtonKrylovStep(), ROL::ProjectedSecantStep< Real >::ProjectedSecantStep(), SecantFactory(), ROL::SecantStep< Real >::SecantStep(), and ROL::TrustRegionStep< Real >::TrustRegionStep().

std::string ROL::EKrylovToString ( EKrylov  tr )

inline

Definition at line 566 of file ROL_Types.hpp.

References KRYLOV_CG, KRYLOV_CR, KRYLOV_GMRES, KRYLOV_LAST, KRYLOV_MINRES, and KRYLOV_USERDEFINED.

Referenced by StringToEKrylov().

int ROL::isValidKrylov ( EKrylov  d )

inline

Verifies validity of a Secant enum.

Parameters

tr	[in] - enum of the Secant

Returns

1 if the argument is a valid Secant; 0 otherwise.

Definition at line 585 of file ROL_Types.hpp.

References KRYLOV_CG, KRYLOV_CR, KRYLOV_GMRES, and KRYLOV_USERDEFINED.

EKrylov& ROL::operator++ ( EKrylov &  type )

inline

Definition at line 592 of file ROL_Types.hpp.

EKrylov ROL::operator++ ( EKrylov &  type, int    )

inline

Definition at line 596 of file ROL_Types.hpp.

EKrylov& ROL::operator-- ( EKrylov &  type )

inline

Definition at line 602 of file ROL_Types.hpp.

EKrylov ROL::operator-- ( EKrylov &  type, int    )

inline

Definition at line 606 of file ROL_Types.hpp.

EKrylov ROL::StringToEKrylov ( std::string  s )

inline

Definition at line 612 of file ROL_Types.hpp.

References EKrylovToString(), KRYLOV_CG, KRYLOV_LAST, and removeStringFormat().

Referenced by KrylovFactory(), ROL::NewtonKrylovStep< Real >::NewtonKrylovStep(), and ROL::ProjectedNewtonKrylovStep< Real >::ProjectedNewtonKrylovStep().

std::string ROL::ENonlinearCGToString ( ENonlinearCG  tr )

inline

Definition at line 649 of file ROL_Types.hpp.

References NONLINEARCG_DAI_YUAN, NONLINEARCG_DANIEL, NONLINEARCG_FLETCHER_CONJDESC, NONLINEARCG_FLETCHER_REEVES, NONLINEARCG_HAGER_ZHANG, NONLINEARCG_HESTENES_STIEFEL, NONLINEARCG_LAST, NONLINEARCG_LIU_STOREY, NONLINEARCG_OREN_LUENBERGER, NONLINEARCG_POLAK_RIBIERE, and NONLINEARCG_USERDEFINED.

Referenced by StringToENonlinearCG().

int ROL::isValidNonlinearCG ( ENonlinearCG  s )

inline

Verifies validity of a NonlinearCG enum.

Parameters

tr	[in] - enum of the NonlinearCG

Returns

1 if the argument is a valid NonlinearCG; 0 otherwise.

Definition at line 673 of file ROL_Types.hpp.

References NONLINEARCG_DAI_YUAN, NONLINEARCG_DANIEL, NONLINEARCG_FLETCHER_CONJDESC, NONLINEARCG_FLETCHER_REEVES, NONLINEARCG_HAGER_ZHANG, NONLINEARCG_HESTENES_STIEFEL, NONLINEARCG_LIU_STOREY, NONLINEARCG_OREN_LUENBERGER, NONLINEARCG_POLAK_RIBIERE, and NONLINEARCG_USERDEFINED.

ENonlinearCG& ROL::operator++ ( ENonlinearCG &  type )

inline

Definition at line 687 of file ROL_Types.hpp.

ENonlinearCG ROL::operator++ ( ENonlinearCG &  type, int    )

inline

Definition at line 691 of file ROL_Types.hpp.

ENonlinearCG& ROL::operator-- ( ENonlinearCG &  type )

inline

Definition at line 697 of file ROL_Types.hpp.

ENonlinearCG ROL::operator-- ( ENonlinearCG &  type, int    )

inline

Definition at line 701 of file ROL_Types.hpp.

ENonlinearCG ROL::StringToENonlinearCG ( std::string  s )

inline

Definition at line 707 of file ROL_Types.hpp.

References ENonlinearCGToString(), NONLINEARCG_HESTENES_STIEFEL, NONLINEARCG_LAST, and removeStringFormat().

Referenced by ROL::NonlinearCGStep< Real >::NonlinearCGStep().

std::string ROL::ELineSearchToString ( ELineSearch  ls )

inline

Definition at line 739 of file ROL_Types.hpp.

References LINESEARCH_BACKTRACKING, LINESEARCH_BISECTION, LINESEARCH_BRENTS, LINESEARCH_CUBICINTERP, LINESEARCH_GOLDENSECTION, LINESEARCH_ITERATIONSCALING, LINESEARCH_LAST, LINESEARCH_PATHBASEDTARGETLEVEL, and LINESEARCH_USERDEFINED.

Referenced by main(), and StringToELineSearch().

int ROL::isValidLineSearch ( ELineSearch  ls )

inline

Verifies validity of a LineSearch enum.

Parameters

ls	[in] - enum of the linesearch

Returns

1 if the argument is a valid linesearch; 0 otherwise.

Definition at line 761 of file ROL_Types.hpp.

References LINESEARCH_BACKTRACKING, LINESEARCH_BISECTION, LINESEARCH_BRENTS, LINESEARCH_CUBICINTERP, LINESEARCH_GOLDENSECTION, LINESEARCH_ITERATIONSCALING, LINESEARCH_PATHBASEDTARGETLEVEL, and LINESEARCH_USERDEFINED.

ELineSearch& ROL::operator++ ( ELineSearch &  type )

inline

Definition at line 773 of file ROL_Types.hpp.

ELineSearch ROL::operator++ ( ELineSearch &  type, int    )

inline

Definition at line 777 of file ROL_Types.hpp.

ELineSearch& ROL::operator-- ( ELineSearch &  type )

inline

Definition at line 783 of file ROL_Types.hpp.

ELineSearch ROL::operator-- ( ELineSearch &  type, int    )

inline

Definition at line 787 of file ROL_Types.hpp.

ELineSearch ROL::StringToELineSearch ( std::string  s )

inline

Definition at line 793 of file ROL_Types.hpp.

References ELineSearchToString(), LINESEARCH_ITERATIONSCALING, LINESEARCH_LAST, and removeStringFormat().

Referenced by LineSearchFactory(), and ROL::LineSearchStep< Real >::LineSearchStep().

std::string ROL::ECurvatureConditionToString ( ECurvatureCondition  ls )

inline

Definition at line 820 of file ROL_Types.hpp.

References CURVATURECONDITION_APPROXIMATEWOLFE, CURVATURECONDITION_GENERALIZEDWOLFE, CURVATURECONDITION_GOLDSTEIN, CURVATURECONDITION_LAST, CURVATURECONDITION_NULL, CURVATURECONDITION_STRONGWOLFE, and CURVATURECONDITION_WOLFE.

Referenced by ROL::LineSearchStep< Real >::printName(), and StringToECurvatureCondition().

int ROL::isValidCurvatureCondition ( ECurvatureCondition  ls )

inline

Verifies validity of a CurvatureCondition enum.

Parameters

ls	[in] - enum of the Curvature Conditions

Returns

1 if the argument is a valid curvature condition; 0 otherwise.

Definition at line 840 of file ROL_Types.hpp.

References CURVATURECONDITION_APPROXIMATEWOLFE, CURVATURECONDITION_GENERALIZEDWOLFE, CURVATURECONDITION_GOLDSTEIN, CURVATURECONDITION_NULL, CURVATURECONDITION_STRONGWOLFE, and CURVATURECONDITION_WOLFE.

ECurvatureCondition& ROL::operator++ ( ECurvatureCondition &  type )

inline

Definition at line 850 of file ROL_Types.hpp.

ECurvatureCondition ROL::operator++ ( ECurvatureCondition &  type, int    )

inline

Definition at line 854 of file ROL_Types.hpp.

ECurvatureCondition& ROL::operator-- ( ECurvatureCondition &  type )

inline

Definition at line 860 of file ROL_Types.hpp.

ECurvatureCondition ROL::operator-- ( ECurvatureCondition &  type, int    )

inline

Definition at line 864 of file ROL_Types.hpp.

ECurvatureCondition ROL::StringToECurvatureCondition ( std::string  s )

inline

Definition at line 870 of file ROL_Types.hpp.

References CURVATURECONDITION_LAST, CURVATURECONDITION_WOLFE, ECurvatureConditionToString(), and removeStringFormat().

Referenced by ROL::LineSearch< Real >::LineSearch(), ROL::LineSearchStep< Real >::LineSearchStep(), and ROL::ScalarMinimizationLineSearch< Real >::ScalarMinimizationLineSearch().

std::string ROL::ECGFlagToString ( ECGFlag  cgf )

inline

Definition at line 900 of file ROL_Types.hpp.

References CG_FLAG_ITEREXCEED, CG_FLAG_NEGCURVE, CG_FLAG_SUCCESS, CG_FLAG_TRRADEX, and CG_FLAG_ZERORHS.

Referenced by ROL::TrustRegionStep< Real >::printHeader().

template<class Element , class Real >

Real ROL::rol_cast

(

const Element &

val

)

Definition at line 972 of file ROL_Types.hpp.

References ROL::TypeCaster< Real, Element >::ElementToReal().

ROL::Ptr<const ROL::ParameterList> ROL::getValidROLParameters ( )

inline

Definition at line 55 of file ROL_ValidParameters.hpp.

References value.

ROL::Ptr<const ROL::ParameterList> ROL::getValidSOLParameters ( )

inline

Definition at line 290 of file ROL_ValidParameters.hpp.

std::string ROL::ETestOptProblemToString ( ETestOptProblem  to )

inline

Definition at line 161 of file ROL_GetTestProblems.hpp.

References TESTOPTPROBLEM_BEALE, TESTOPTPROBLEM_BVP, TESTOPTPROBLEM_CANTILEVER, TESTOPTPROBLEM_CANTILEVERBEAM, TESTOPTPROBLEM_CUBIC, TESTOPTPROBLEM_CYLINDERHEAD, TESTOPTPROBLEM_FREUDENSTEINANDROTH, TESTOPTPROBLEM_HS1, TESTOPTPROBLEM_HS2, TESTOPTPROBLEM_HS24, TESTOPTPROBLEM_HS25, TESTOPTPROBLEM_HS29, TESTOPTPROBLEM_HS3, TESTOPTPROBLEM_HS32, TESTOPTPROBLEM_HS38, TESTOPTPROBLEM_HS39, TESTOPTPROBLEM_HS4, TESTOPTPROBLEM_HS45, TESTOPTPROBLEM_HS5, TESTOPTPROBLEM_LAST, TESTOPTPROBLEM_LEASTSQUARES, TESTOPTPROBLEM_MINIMAX1, TESTOPTPROBLEM_MINIMAX2, TESTOPTPROBLEM_MINIMAX3, TESTOPTPROBLEM_PARABOLOIDCIRCLE, TESTOPTPROBLEM_POISSONCONTROL, TESTOPTPROBLEM_POISSONINVERSION, TESTOPTPROBLEM_POWELL, TESTOPTPROBLEM_QUARTIC, TESTOPTPROBLEM_ROSENBROCK, TESTOPTPROBLEM_SIMPLEEQCONSTRAINED, TESTOPTPROBLEM_SUMOFSQUARES, and TESTOPTPROBLEM_ZAKHAROV.

Referenced by main(), and StringToETestOptProblem().

int ROL::isValidTestOptProblem ( ETestOptProblem  to )

inline

Verifies validity of a TestOptProblem enum.

Parameters

to	[in] - enum of the TestOptProblem

Returns

1 if the argument is a valid TestOptProblem; 0 otherwise.

Definition at line 207 of file ROL_GetTestProblems.hpp.

References TESTOPTPROBLEM_BEALE, TESTOPTPROBLEM_BVP, TESTOPTPROBLEM_CANTILEVER, TESTOPTPROBLEM_CANTILEVERBEAM, TESTOPTPROBLEM_CUBIC, TESTOPTPROBLEM_CYLINDERHEAD, TESTOPTPROBLEM_FREUDENSTEINANDROTH, TESTOPTPROBLEM_HS1, TESTOPTPROBLEM_HS2, TESTOPTPROBLEM_HS24, TESTOPTPROBLEM_HS25, TESTOPTPROBLEM_HS29, TESTOPTPROBLEM_HS3, TESTOPTPROBLEM_HS32, TESTOPTPROBLEM_HS38, TESTOPTPROBLEM_HS39, TESTOPTPROBLEM_HS4, TESTOPTPROBLEM_HS45, TESTOPTPROBLEM_HS5, TESTOPTPROBLEM_LEASTSQUARES, TESTOPTPROBLEM_MINIMAX1, TESTOPTPROBLEM_MINIMAX2, TESTOPTPROBLEM_MINIMAX3, TESTOPTPROBLEM_PARABOLOIDCIRCLE, TESTOPTPROBLEM_POISSONCONTROL, TESTOPTPROBLEM_POISSONINVERSION, TESTOPTPROBLEM_POWELL, TESTOPTPROBLEM_QUARTIC, TESTOPTPROBLEM_ROSENBROCK, TESTOPTPROBLEM_SIMPLEEQCONSTRAINED, TESTOPTPROBLEM_SUMOFSQUARES, and TESTOPTPROBLEM_ZAKHAROV.

ETestOptProblem& ROL::operator++ ( ETestOptProblem &  type )

inline

Definition at line 242 of file ROL_GetTestProblems.hpp.

ETestOptProblem ROL::operator++ ( ETestOptProblem &  type, int    )

inline

Definition at line 246 of file ROL_GetTestProblems.hpp.

ETestOptProblem& ROL::operator-- ( ETestOptProblem &  type )

inline

Definition at line 252 of file ROL_GetTestProblems.hpp.

ETestOptProblem ROL::operator-- ( ETestOptProblem &  type, int    )

inline

Definition at line 256 of file ROL_GetTestProblems.hpp.

ETestOptProblem ROL::StringToETestOptProblem ( std::string  s )

inline

Definition at line 262 of file ROL_GetTestProblems.hpp.

References ETestOptProblemToString(), removeStringFormat(), TESTOPTPROBLEM_LAST, and TESTOPTPROBLEM_ROSENBROCK.

template<class Real >

void ROL::GetTestProblem	(	Ptr< OptimizationProblem< Real > > &	problem,
		Ptr< Vector< Real > > &	x0,
		std::vector< Ptr< Vector< Real > > > &	x,
		const ETestOptProblem	test
	)

Definition at line 273 of file ROL_GetTestProblems.hpp.

References TESTOPTPROBLEM_BEALE, TESTOPTPROBLEM_BVP, TESTOPTPROBLEM_CANTILEVER, TESTOPTPROBLEM_CANTILEVERBEAM, TESTOPTPROBLEM_CUBIC, TESTOPTPROBLEM_CYLINDERHEAD, TESTOPTPROBLEM_FREUDENSTEINANDROTH, TESTOPTPROBLEM_HS1, TESTOPTPROBLEM_HS2, TESTOPTPROBLEM_HS24, TESTOPTPROBLEM_HS25, TESTOPTPROBLEM_HS29, TESTOPTPROBLEM_HS3, TESTOPTPROBLEM_HS32, TESTOPTPROBLEM_HS38, TESTOPTPROBLEM_HS39, TESTOPTPROBLEM_HS4, TESTOPTPROBLEM_HS45, TESTOPTPROBLEM_HS5, TESTOPTPROBLEM_LAST, TESTOPTPROBLEM_LEASTSQUARES, TESTOPTPROBLEM_MINIMAX1, TESTOPTPROBLEM_MINIMAX2, TESTOPTPROBLEM_MINIMAX3, TESTOPTPROBLEM_PARABOLOIDCIRCLE, TESTOPTPROBLEM_POISSONCONTROL, TESTOPTPROBLEM_POISSONINVERSION, TESTOPTPROBLEM_POWELL, TESTOPTPROBLEM_QUARTIC, TESTOPTPROBLEM_ROSENBROCK, TESTOPTPROBLEM_SIMPLEEQCONSTRAINED, TESTOPTPROBLEM_SUMOFSQUARES, and TESTOPTPROBLEM_ZAKHAROV.

void ROL::addJSONBlockToPL	(	const Json::Value &	block,
		ROL::ParameterList &	parlist
	)

Iterate over a block and insert key-value pairs into the ROL::ParameterList.

Parameters

[in]	block	is a block from a JSON object
	in/out]	parlist is a ROL::ParameterList

Referenced by JSON_Parameters().

void ROL::addJSONPairToPL	(	const Json::Value &	block,
		const std::string &	key,
		ROL::ParameterList &	parlist
	)

Given a JSON block and a key, get the value and insert the key-value pair into a ROL::ParameterList. If the value is itself a block, recursively iterate.

Parameters

[in]	block	is a block from a JSON object
[in]	key	is a string key
	in/out]	parlist is a ROL::ParameterList

void ROL::JSON_Parameters	(	const std::string &	jsonFileName,
		ROL::ParameterList &	parlist
	)

Read a JSON file and store all parameters in a ROL::ParameterList. Checks for a key called "Algorithm" which has a string value which can specify a Step Type (Linesearch or Trust-Region) and either a Descent Type or a Trust-Region Subproblem Solver Type.

Parameters

[in]	block	is a block from a JSON object
	in/out]	parlist is a ROL::ParameterList

Definition at line 136 of file json/example_01.hpp.

References addJSONBlockToPL().

Referenced by main().

template<class Real >

void ROL::stepFactory	(	ROL::ParameterList &	parlist,
		ROL::Ptr< ROL::Step< Real > > &	step
	)

A minimalist step factory which specializes the Step Type depending on whether a Trust-Region or Linesearch has been selected.

Parameters

[in]	parlist	is a ROL::ParameterList
	in/out]	step is a ref count pointer to a ROL::Step

Definition at line 207 of file json/example_01.hpp.

Referenced by ROL::Algorithm< Real >::Algorithm(), main(), and ROL::OptimizationSolver< Real >::OptimizationSolver().

Variable Documentation

ROL::DiagonalOperator ROL::apply

Referenced by ROL::ColemanLiModel< Real >::computeAlpha(), ROL::ColemanLiModel< Real >::computeFullReflectiveStep(), ROL::ColemanLiModel< Real >::computeReflectiveStep(), ROL::ColemanLiModel< Real >::constructC(), ROL::LogBarrierObjective< Real >::dirDeriv(), ROL::ColemanLiModel< Real >::getScalarBounds(), ROL::LogBarrierObjective< Real >::hessVec(), InnerProductMatrix< Real >::inner(), ROL::ColemanLiModel< Real >::isStrictlyFeasibleStep(), ROL::Bounds< Real >::project(), and ROL::Bounds< Real >::projectInterior().

ROL::Objective_SimOpt ROL::value

Referenced by ROL::Constraint< Real >::applyAdjointJacobian(), ROL::Constraint< Real >::applyJacobian(), ROL::DynamicObjectiveCheck< Real >::check(), ROL::Constraint< Real >::checkApplyAdjointJacobian(), ROL::Constraint< Real >::checkApplyJacobian(), ROL::Objective< Real >::checkGradient(), ROL::Objective< Real >::dirDeriv(), getValidROLParameters(), ROL::FletcherStep< Real >::getValueString(), tierParameterList(), and value().