 rosenbrock/example_01.cpp | |
 json/example_01.cpp | |
 zakharov/example_01.cpp | |
 dual-spaces/rosenbrock-1/example_01.cpp | |
 dual-spaces/simple-eq-constr-1/example_01.cpp | |
 burgers-control/example_01.cpp | |
 poisson-control/example_01.cpp | |
 poisson-inversion/example_01.cpp | |
 gross-pitaevskii/example_01.cpp | |
 json/example_01.hpp | |
 gross-pitaevskii/example_01.hpp | |
 example_01a.cpp | An example combining ROL and Sacado to mimize the Zakharov function. The gradient and the action of the Hessian on a given vector are computed by Sacado using automatic differentiation |
 example_01a.hpp | |
 example_01b.cpp | An example combining ROL and Sacado to mimize the Zakharov function. The gradient and the action of the Hessian on a given vector are computed by Sacado using automatic differentiation |
 example_01b.hpp | |
 example_01c.cpp | An example combining ROL and Sacado to mimize the Zakharov function. The gradient and the action of the Hessian on a given vector are computed by Sacado using automatic differentiation |
 example_01c.hpp | |
 example_01d.cpp | An example combining ROL and Sacado to mimize the Zakharov function. The gradient and the action of the Hessian on a given vector are computed by Sacado using automatic differentiation |
 example_01d.hpp | |
 sacado/example_02.cpp | An example equality constrained problem combining ROL and Sacado This is the same problem as found in rol/examples/simple-eq-constr with the objective gradient, objective Hessian direction, constraint Jacobian direction, constraint adjoint Jacobian direction, and constraint adjoint Hessian direction computed via automatic differentiation with Sacado |
 burgers-control/example_02.cpp | |
 poisson-inversion/example_02.cpp | |
 gross-pitaevskii/example_02.cpp | |
 sacado/example_02.hpp | |
 gross-pitaevskii/example_02.hpp | |
 sacado/example_03.cpp | An example equality constrained problem combining ROL and Sacado This is the same problem as found in rol/examples/simple-eq-constr with the objective gradient, objective Hessian direction, constraint Jacobian direction, constraint adjoint Jacobian direction, and constraint adjoint Hessian direction computed via automatic differentiation with Sacado |
 burgers-control/example_03.cpp | |
 gross-pitaevskii/example_03.cpp | |
 sacado/example_03.hpp | |
 gross-pitaevskii/example_03.hpp | |
 example_04.cpp | Shows how to solve an optimal control problem constrained by Burgers' equation with the SimOpt interface |
 FiniteDifference.hpp | |
 InnerProductMatrix.hpp | |
 Lagrange.hpp | |
 LinearAlgebra.hpp | |
 NodalBasis.hpp | |
 OrthogonalPolynomials.hpp | |
 ROL_AbsoluteValue.hpp | |
 ROL_Algorithm.hpp | |
 ROL_BackTracking.hpp | |
 ROL_BarzilaiBorwein.hpp | |
 ROL_BatchManager.hpp | |
 ROL_Beale.hpp | Contains definitions for Beale's function |
 ROL_Bisection.hpp | |
 ROL_BoundConstraint.hpp | |
 ROL_Brents.hpp | |
 ROL_Bundle.hpp | |
 ROL_BundleStatusTest.hpp | |
 ROL_BundleStep.hpp | |
 ROL_BurkardtRules.hpp | Header file for integration rules provided by John Burkardt. <> |
 ROL_BurkardtRulesDef.hpp | Definition file for integration rules provided by John Burkardt. <> |
 ROL_BVP.hpp | Contains definitions for the discrete boundary value problem (More, Garbow, Hillstrom, 1981) |
 ROL_CArrayVector.hpp | |
 ROL_CauchyPoint.hpp | |
 ROL_CompositeStepSQP.hpp | |
 ROL_ConjugateGradients.hpp | |
 ROL_ConjugateResiduals.hpp | |
 ROL_Constraints.hpp | |
 ROL_CubicInterp.hpp | |
 ROL_CVaR.hpp | |
 ROL_CVaRBoundConstraint.hpp | |
 ROL_CVaRVector.hpp | |
 ROL_DiodeCircuit.hpp | Contains definitions for the diode circuit problem |
 ROL_Distribution.hpp | |
 ROL_DogLeg.hpp | |
 ROL_DoubleDogLeg.hpp | |
 ROL_EpetraBatchManager.hpp | |
 ROL_EqualityConstraint.hpp | |
 ROL_EqualityConstraint_SimOpt.hpp | |
 ROL_EqualityConstraintDef.hpp | |
 ROL_ExpectationQuad.hpp | |
 ROL_ExpUtility.hpp | |
 ROL_FreudensteinRoth.hpp | Contains definitions for Freudenstein and Roth's function |
 ROL_GoldenSection.hpp | |
 ROL_HelperFunctions.hpp | Contains definitions for helper functions in ROL |
 ROL_HS1.hpp | Contains definitions for W. Hock and K. Schittkowski 1st test function |
 ROL_HS2.hpp | Contains definitions for W. Hock and K. Schittkowski 2nd test function |
 ROL_HS25.hpp | Contains definitions for W. Hock and K. Schittkowski 25th test function |
 ROL_HS3.hpp | Contains definitions for W. Hock and K. Schittkowski 3rd test function |
 ROL_HS38.hpp | Contains definitions for W. Hock and K. Schittkowski 38th test function |
 ROL_HS4.hpp | Contains definitions for W. Hock and K. Schittkowski 4th test function |
 ROL_HS45.hpp | Contains definitions for W. Hock and K. Schittkowski 45th test function |
 ROL_HS5.hpp | Contains definitions for W. Hock and K. Schittkowski 5th test function |
 ROL_IterationScaling.hpp | |
 ROL_Krylov.hpp | |
 ROL_lBFGS.hpp | |
 ROL_lDFP.hpp | |
 ROL_LeastSquares.hpp | Contains definitions for least squares function |
 ROL_LinearOperator.hpp | |
 ROL_LineSearch.hpp | |
 ROL_LineSearchStep.hpp | |
 ROL_lSR1.hpp | |
 ROL_MeanDeviation.hpp | |
 ROL_MeanDeviationFromTarget.hpp | |
 ROL_MeanVariance.hpp | |
 ROL_MeanVarianceFromTarget.hpp | |
 ROL_Minimax1.hpp | |
 ROL_Minimax2.hpp | |
 ROL_Minimax3.hpp | |
 ROL_MonteCarloGenerator.hpp | |
 ROL_MultiVector.hpp | |
 ROL_MultiVectorDefault.hpp | |
 ROL_NonlinearCG.hpp | |
 ROL_Objective.hpp | |
 ROL_Objective_SimOpt.hpp | |
 ROL_ObjectiveDef.hpp | |
 ROL_ParametrizedEqualityConstraint.hpp | |
 ROL_ParametrizedEqualityConstraint_SimOpt.hpp | |
 ROL_ParametrizedObjective.hpp | |
 ROL_ParametrizedObjective_SimOpt.hpp | |
 ROL_PathBasedTargetLevel.hpp | |
 ROL_PlusFunction.hpp | |
 ROL_PoissonControl.hpp | Contains definitions for Poisson optimal control |
 ROL_PoissonInversion.hpp | Contains definitions for Poisson material inversion |
 ROL_PositiveFunction.hpp | |
 ROL_Powell.hpp | Contains definitions for Powell's badly scaled function |
 ROL_PrimalDualActiveSetStep.hpp | |
 ROL_PrimalDualHessian.hpp | |
 ROL_PrimalDualPreconditioner.hpp | |
 ROL_ProjectedHessian.hpp | |
 ROL_ProjectedPreconditioner.hpp | |
 ROL_Quadrature.hpp | Header file for the ROL::Quadrature class |
 ROL_Quadrature1dConstructors.hpp | |
 ROL_QuadratureDef.hpp | Definition file for the ROL::Quadrature class |
 ROL_QuadratureHelpers.hpp | |
 ROL_QuadratureTPConstructors.hpp | |
 ROL_Reduced_Objective_SimOpt.hpp | |
 ROL_Reduced_ParametrizedObjective_SimOpt.hpp | |
 ROL_RiskAverseObjective.hpp | |
 ROL_RiskMeasure.hpp | |
 ROL_RiskNeutralObjective.hpp | |
 ROL_Rosenbrock.hpp | Contains definitions for Rosenbrock's function |
 ROL_SampleGenerator.hpp | |
 ROL_SandiaRules.hpp | |
 ROL_SandiaRules2.hpp | |
 ROL_SandiaRules2Def.hpp | |
 ROL_SandiaRulesDef.hpp | |
 ROL_SandiaSGMGA.hpp | |
 ROL_SandiaSGMGADef.hpp | |
 ROL_Secant.hpp | |
 ROL_SGMGA.hpp | |
 ROL_SGMGADef.hpp | |
 ROL_SimpleEqConstrained.hpp | Contains definitions for the equality constrained NLP from Nocedal/Wright, 2nd edition, page 574, example 18.2; note the typo in reversing the initial guess and the solution |
 ROL_SmoothCVaRQuad.hpp | |
 ROL_SparseGridGenerator.hpp | |
 ROL_SparseGridGeneratorDef.hpp | |
 ROL_StatusTest.hpp | |
 ROL_StdBoundConstraint.hpp | Contains definitions for std::vector bound constraints |
 ROL_StdEpetraBatchManager.hpp | |
 ROL_StdVector.hpp | |
 ROL_Step.hpp | |
 ROL_SumOfSquares.hpp | Contains definitions for sum of squares function |
 ROL_TestObjectives.hpp | Contains definitions of test objective functions |
 ROL_TruncatedCG.hpp | |
 ROL_TrustRegion.hpp | |
 ROL_TrustRegionStep.hpp | |
 ROL_Types.hpp | Contains definitions of custom data types in ROL |
 ROL_UserInputGenerator.hpp | |
 ROL_Vector.hpp | |
 ROL_Vector_SimOpt.hpp | |
 ROL_Zakharov.hpp | Contains definitions for the Zakharov function as evaluated using only the ROL::Vector interface |
 function/test_01.cpp | |
 step/test_01.cpp | |
 vector/test_01.cpp | |
 step/test_02.cpp | |
 vector/test_02.cpp | |
 step/test_03.cpp | |
 vector/test_03.cpp | |
 test_04.cpp | |
 test_05.cpp | |
 test_06.cpp | Test line search |