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