Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level 1234]
 NroboptimDefined(EIGEN_RUNTIME_NO_MALLOC) && !defined(ROBOPTIM_DO_NOT_CHECK_ALLOCATION)
 Ncallback
 Ndetail
 NfiniteDifferenceGradientPoliciesContains finite difference gradients policies
 NvisualizationGraphical visualization
 CBadGradientException thrown when a gradient check fails
 CBadJacobianException thrown when a Jacobian check fails
 CBindBind some function input to a constant value
 CCachedFunctionStore previous function computation
 CChainChain two RobOptim functions
 CConcatenateConcatenate the output of two functions
 CCosCos function
 CDerivableParametrizedFunctionParametrized function with parameter derivative available
 CDerivativeReturn the derivative of a function w.r.t
 CderivativeSize
 CderivativeSize< GenericDifferentiableFunction< T > >
 CderivativeSize< GenericFunction< T > >
 CderivativeSize< GenericTwiceDifferentiableFunction< T > >
 CderivativeSize< NTimesDerivableFunction< N > >
 CDummySolverDummy solver which always fails
 CDummySolverTdDummy solver which always fails
 CEigenMatrixDenseTag type for functions using Eigen dense matrices
 CEigenMatrixSparseTag type for functions using Eigen sparse matrices
 CFunctionPoolA pool of functions that will be processed together
 CGenericConstantFunctionConstant function
 CGenericDifferentiableFunctionDefine an abstract derivable function ( $C^1$)
 CGenericDummySolverLastStateDummy solver which always fails, but returns the last state of the solver
 CGenericFiniteDifferenceGradientCompute automatically a gradient with finite differences
 CGenericFunctionDefine an abstract mathematical function ( $C^0$)
 CGenericFunctionTraitsGenericFunction traits
 CGenericFunctionTraits< EigenMatrixDense >Trait specializing GenericFunction for Eigen dense matrices
 CGenericFunctionTraits< EigenMatrixSparse >Trait specializing GenericFunction for Eigen sparse matrices
 CGenericIdentityFunctionIdentity function
 CGenericLinearFunctionDefine an abstract linear function
 CGenericNumericLinearFunctionBuild a linear function from a vector and a matrix
 CGenericNumericQuadraticFunctionBuild a quadratic function from a matrix and a vector
 CGenericQuadraticFunctionDefine an abstract quadratic function
 CGenericSolverAbstract interface satisfied by all solvers
 CGenericSumOfC1SquaresGeneric sum of the squares of differentiable functions
 CGenericTwiceDifferentiableFunctionDefine an abstract function which is twice-derivable ( $C^2$)
 CHasherHash generator for argument vector
 CLRUCacheLRU (Least Recently Used) cache
 CMapApply a function several times to an input vector
 CMinusSubtract two RobOptim functions
 CNoSolutionTag a result if no solution has been found
 CNTimesDerivableFunctionDefine a $\mathbb{R} \rightarrow \mathbb{R}^m$ function, derivable n times ( $n \geq 2$)
 CNTimesDerivableFunction< 2 >Explicit specialization for the stop case of NTimesDerivable class
 COptimizationLoggerLog the optimization process (values, Jacobians, time taken etc.)
 CParameterSolver parameter type
 CParametrizedFunctionDefine an abstract parametrized mathematical function ( $C^0$)
 CPlusSum two RobOptim functions
 CPolynomialPolynomial function
 CProblem
 CProblem< F, boost::mpl::vector<> >
 CProductProduct of two RobOptim functions
 CResultRepresents the solution of an optimization problem
 CResultWithWarningsRepresents the solution of an optimization problem when errors occurred during the solving process
 CScalarMultiply by a constant scalar value
 CSelectionSelect a block of a function's output
 CSelectionByIdSelect part of a function
 CSinSin function
 CSolverSolver for a specific problem class
 CSolverErrorBase exception class for solving errors
 CSolverFactoryDefine a solver factory that instanciate the plug-ins
 CSolverStateState of the solver
 CSolverWarningException used for non-critical errors during optimization
 CSplitSelect an element of a function's output
 CStateParameterSolver state parameters type