| ►NROL | |
| ►NZOO | |
| CEqualityConstraint_HS32 | |
| CEqualityConstraint_SimpleEqConstrained | Equality constraints c_i(x) = 0, where: c1(x) = x1^2+x2^2+x3^2+x4^2+x5^2 - 10 c2(x) = x2*x3-5*x4*x5 c3(x) = x1^3 + x2^3 + 1 |
| CInequalityConstraint_HS29 | |
| CInequalityConstraint_HS32 | |
| CObjective_Beale | Beale's function |
| CObjective_BVP | The discrete boundary value problem |
| CObjective_DiodeCircuit | The diode circuit problem |
| CObjective_FreudensteinRoth | Freudenstein and Roth's function |
| CObjective_HS1 | W. Hock and K. Schittkowski 1st test function |
| CObjective_HS2 | W. Hock and K. Schittkowski 2nd test function |
| CObjective_HS25 | W. Hock and K. Schittkowski 25th test function |
| CObjective_HS29 | |
| CObjective_HS3 | W. Hock and K. Schittkowski 3rd test function |
| CObjective_HS32 | |
| CObjective_HS38 | W. Hock and K. Schittkowski 38th test function |
| CObjective_HS4 | W. Hock and K. Schittkowski 4th test function |
| CObjective_HS45 | W. Hock and K. Schittkowski 45th test function |
| CObjective_HS5 | W. Hock and K. Schittkowski 5th test function |
| CObjective_LeastSquares | Least squares function |
| CObjective_PoissonControl | Poisson distributed control |
| CObjective_PoissonInversion | Poisson material inversion |
| CObjective_Powell | Powell's badly scaled function |
| CObjective_Rosenbrock | Rosenbrock's function |
| CObjective_SimpleEqConstrained | Objective function: f(x) = exp(x1*x2*x3*x4*x5) + 0.5*(x1^3+x2^3+1)^2 |
| CObjective_SumOfSquares | Sum of squares function |
| CObjective_Zakharov | Zakharov function |
| CAbsoluteValue | |
| CAlgorithm | Provides an interface to run optimization algorithms |
| CAlgorithmState | State for algorithm class. Will be used for restarts |
| CArcsine | |
| CAugmentedLagrangian | Provides the interface to evaluate the augmented Lagrangian |
| CAugmentedLagrangianStep | Provides the interface to compute augmented Lagrangian steps |
| CBackTracking | Implements a simple back tracking line search |
| CBarzilaiBorwein | Provides definitions for Barzilai-Borwein operators |
| CBatchManager | |
| CBeta | |
| CBisection | Implements a bisection line search |
| ►CBoundConstraint | Provides the interface to apply upper and lower bound constraints |
| CLogicalOr | |
| CProduct | |
| CShift | |
| CBoundConstraint_SimOpt | |
| CBPOEBoundConstraint | |
| CBPOEObjective | |
| CBrents | Implements a Brent's method line search |
| CBundle | Provides the interface for and implments a bundle |
| CBundle_TT | Provides the interface for and implements a bundle. The semidefinite quadratic subproblem is solved using TT algorithm by Antonio Frangioni (1996) |
| CBundleStatusTest | |
| CBundleStep | Provides the interface to compute bundle trust-region steps |
| CCArrayVector | Provides the C array implementation of the ROL::Vector interface for use with NumPy->C Array passing by pointer. This class in intended to be used with the Python ROL interface |
| CCauchy | |
| CCauchyPoint | Provides interface for the Cauchy point trust-region subproblem solver |
| CCDFObjective | |
| CCompositeStep | Implements the computation of optimization steps with composite-step trust-region methods |
| CConjugateGradients | Provides definitions of the Conjugate Gradient solver |
| CConjugateResiduals | Provides definition of the Conjugate Residual solver |
| CConstraints | |
| CConstraintStatusTest | Provides an interface to check status of optimization algorithms for problems with equality constraints |
| CCubicInterp | Implements cubic interpolation back tracking line search |
| CCVaR | |
| CCVaRBoundConstraint | |
| CCVaRQuadrangle | |
| CCVaRVector | |
| CDirac | |
| CDistribution | |
| CDogLeg | Provides interface for dog leg trust-region subproblem solver |
| CDoubleDogLeg | Provides interface for the double dog leg trust-region subproblem solver |
| CDualScaledStdVector | Provides the std::vector implementation of the ROL::Vector interface that handles scalings in the inner product. Also see ROL::PrimalScaledStdVector |
| CEqualityConstraint | Defines the equality constraint operator interface |
| CEqualityConstraint_SimOpt | Defines the equality constraint operator interface for simulation-based optimization |
| CExpectationQuad | |
| CExponential | |
| CExpUtility | |
| CGamma | |
| CGaussian | |
| CGoldenSection | Implements a golden section line search |
| CHMCR | |
| CHMCRObjective | |
| CInteriorPointBoundConstraint | Require positivity of slack variables |
| CInteriorPointEqualityConstraint | Has both inequality and equality constraints. Treat inequality constraint as equality with slack variable |
| CInteriorPointObjective | Adds barrier term to generic objective |
| CInteriorPointStep | |
| CIterationScaling | Provides an implementation of iteration scaled line search |
| CKrylov | Provides definitions for Krylov solvers |
| CKumaraswamy | |
| CLaplace | |
| ClBFGS | Provides definitions for limited-memory BFGS operators |
| ClDFP | Provides definitions for limited-memory DFP operators |
| CLinearCombinationObjective | |
| CLinearOperator | Provides the interface to apply a linear operator |
| CLineSearch | Provides interface for and implements line searches |
| CLineSearchStep | Provides the interface to compute optimization steps with line search |
| CLogBarrierObjective | Log barrier objective for interior point methods |
| CLogExponentialQuadrangle | |
| CLogistic | |
| ClSR1 | Provides definitions for limited-memory SR1 operators |
| CMeanDeviation | |
| CMeanDeviationFromTarget | |
| CMeanVariance | |
| CMeanVarianceFromTarget | |
| CMinimax1 | |
| CMinimax2 | |
| CMinimax3 | |
| CMomentObjective | |
| CMonteCarloGenerator | |
| CMoreauYosidaPenalty | Provides the interface to evaluate the Moreau-Yosida penalty function |
| CMoreauYosidaPenaltyStep | Implements the computation of optimization steps using Moreau-Yosida regularized bound constraints |
| CMultiVector | Provides a container and operations on multiple ROL vectors for use with other Trilinos packages which require multivectors |
| CMultiVectorDefault | Default implementation of the ROL::MultiVector container class |
| CObjective | Provides the interface to evaluate objective functions |
| CObjective_SimOpt | Provides the interface to evaluate simulation-based objective functions |
| CParabolic | |
| CParametrizedEqualityConstraint | |
| CParametrizedEqualityConstraint_SimOpt | |
| CParametrizedObjective | |
| CParametrizedObjective_SimOpt | |
| CPartitionedVector | Defines the linear algebra of vector space on a generic partitioned vector |
| CPathBasedTargetLevel | Provides an implementation of path-based target leve line search |
| CPlusFunction | |
| CPointwiseCDFObjective | |
| CPositiveFunction | |
| CPrimalDualActiveSetStep | Implements the computation of optimization steps with the Newton primal-dual active set method |
| CPrimalDualHessian | |
| CPrimalDualPreconditioner | |
| CPrimalScaledStdVector | Provides the std::vector implementation of the ROL::Vector interface that handles scalings in the inner product. Also see ROL::DualScaledStdVector |
| CProjectedHessian | |
| CProjectedObjective | |
| CProjectedPreconditioner | |
| CRaisedCosine | |
| CReduced_Objective_SimOpt | Provides the interface to evaluate simulation-based reduced objective functions |
| CReduced_ParametrizedObjective_SimOpt | |
| CremoveSpecialCharacters | |
| CRiskAverseObjective | |
| CRiskMeasure | |
| CRiskNeutralObjective | |
| CSampleGenerator | |
| CSecant | Provides interface for and implements limited-memory secant operators |
| CSecantState | |
| CSmale | |
| CSROMBoundConstraint | |
| CSROMEqualityConstraint | |
| CSROMGenerator | |
| CSROMVector | Provides the std::vector implementation of the ROL::Vector interface |
| CStatusTest | Provides an interface to check status of optimization algorithms |
| CStatusTestFactory | |
| CStdBoundConstraint | |
| CStdTeuchosBatchManager | |
| CStdVector | Provides the std::vector implementation of the ROL::Vector interface |
| CStep | Provides the interface to compute optimization steps |
| CStepFactory | |
| CStepState | State for step class. Will be used for restarts |
| CTeuchosBatchManager | |
| CTriangle | |
| CTruncatedCG | Provides interface for truncated CG trust-region subproblem solver |
| CTruncatedExponential | |
| CTruncatedGaussian | |
| CTruncatedMeanQuadrangle | |
| CTrustRegion | Provides interface for and implements trust-region subproblem solvers |
| CTrustRegionStep | Provides the interface to compute optimization steps with trust regions |
| CUniform | |
| CUserInputGenerator | |
| CVector | Defines the linear algebra or vector space interface |
| CVector_SimOpt | Defines the linear algebra or vector space interface for simulation-based optimization |
| CBoundConstraint_BurgersControl | |
| CBurgersFEM | |
| CConDualStdVector | |
| CConStdVector | |
| CEqualityConstraint_BurgersControl | |
| CExample_Objective | Objective function: \[f(x) = exp(x_1 x_2 x_3 x_4 x_5) + \frac{1}{2}*(x_1^3+x_2^3+1)^2 \] |
| CFiniteDifference | |
| CFunctionZakharov | |
| CH1BoundConstraint | |
| CH1VectorBatchManager | |
| CH1VectorDual | |
| CH1VectorPrimal | |
| CInnerProductMatrix | |
| CInnerProductMatrixSolver | This class adds a solve method |
| CL2BoundConstraint | |
| CL2VectorBatchManager | |
| CL2VectorDual | |
| CL2VectorPrimal | |
| CLagrange | |
| CNodalBasis | |
| CNormalization_Constraint | |
| CObjective_BurgersControl | |
| CObjective_GrossPitaevskii | |
| CObjective_PoissonInversion | |
| COptDualStdVector | |
| COptStdVector | |
| CStatusTest_PDAS | |
| CZakharov | |
| CZakharov_Sacado_Objective |
1.8.11