Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 1234]

Nroboptim	Defined(EIGEN_RUNTIME_NO_MALLOC) && !defined(ROBOPTIM_DO_NOT_CHECK_ALLOCATION)
Ncallback
CMultiplexer	Callback multiplexer
Ndetail
CCachedFunctionTypes
CPrecisionTrait
CAutopromoteTrait
CAutopromoteTrait< Plus< U, V > >
CAutopromoteTrait< Minus< U, V > >
CAutopromoteTrait< Product< U, V > >
CAutopromoteTrait< Scalar< U > >
Cpromote2
Cpromote2< T1, T2, 0 >
CPromoteTrait
CBlockProvider	Gives access to a std::vector of std::pair<size_t, size_t> representing blocks of input Those blocks are needed even if the function is not differentiable, making it easier for us to define it in a exterior class to then use it transparently
CStructuredInputJacobianInternal	This class gives access to the getJacobianBlock() method, whose implementation is to be specialized according to the type of matrix handled by the function
CStructuredInputJacobianInternal< FuncType, roboptim::EigenMatrixDense >	DenseMatrix specialization of the getJacobianBlock() method provider
CStructuredInputJacobianInternal< FuncType, roboptim::EigenMatrixSparse >	SparseMatrix specialization of the getJacobianBlock() method provider
CStructuredInput	Provides utility methods to describe the input format of a function
Cadd_shared_ptr	Transform a types list into a types list of shared pointers
Cshared_ptr_variant	Generate a Boost.Variant of shared pointers from the static constraints types list
Cis_eigen_type	Check whether the type provided is an Eigen type
Cconst_eigen_ref	Return the type of a const reference to an Eigen matrix, using Eigen's Ref
Cconst_ref	Return the proper const reference type of a given type
Crow_vector_stride	Get the matrix stride type for a row vector, given a matrix storage order
Clist_converter	Converts CLIST to a boost::mpl::vector to ensure a similar behavior for codes using different random access sequences (vector, list, etc.)
Ccontains_base_of	Whether a sequence of types contains a base of a given type
Cget_descendant	Get the descendant among two relatives
Ccheck_constraint_type	Checks whether C is a valid constraint type in CLIST
Ccast_constraint_type	Get the constraint type of CLIST that best match C
Cderives_from_function	Checks whether the function types derives from Function or SparseFunction
Cderives_from_differentiable_function	Checks whether the function type derives from DifferentiableFunction or DifferentiableSparseFunction
Cderives_from_twice_differentiable_function	Checks whether the function type derives from TwiceDifferentiableFunction or TwiceDifferentiableSparseFunction
Cderives_from_ntimes_derivable_function	Checks whether the function type derives from NTimesDerivableFunction
Clist_derives_from_function	Checks whether all the constraints derive from Function or SparseFunction
Cis_compatible_list	Check that CLIST_ is a subset of CLIST (i.e
CConvertConstraint	Convert a constraint to a proper type
CConvertConstraintVariant	Convert a constraint from a Boost.Variant to an adequate constraint type depending on the problem's constraints type
CConcatenateTypes
CProductDifferentiation	Utility structure used for product differentiation
CTypes	Some useful types for product differentiation
CEvaluateConstraint
CConstraintName
CEvaluateConstraintViolation
CLogJacobianConstraint
CprintConstraint
CStateParameterPrintVisitor	Visitor used to print state parameters (variant)
CPrintSolverParameter
NfiniteDifferenceGradientPolicies	Contains finite difference gradients policies
CPolicy	Interface for the finite difference gradient policies
CSimple	Fast finite difference gradient computation
CFivePointsRule	Precise finite difference gradient computation
Nvisualization	Graphical visualization
Ngnuplot	Gnuplot rendering
CCommand	Gnuplot command
Nmatplotlib	Matplotlib rendering
CImport	Matplotlib import
CCommand	Import function that follows the style of commands
CMatrixPlotType	Wrap enum for matrix plotting type
CGnuplot	Gnuplot script
CMatplotlib	Matplotlib script
CLRUCache	LRU (Least Recently Used) cache
CHasher	Hash generator for argument vector
CCachedFunction	Store previous function computation
CBadGradient	Exception thrown when a gradient check fails
CBadJacobian	Exception thrown when a Jacobian check fails
CGenericFiniteDifferenceGradient	Compute automatically a gradient with finite differences
CDerivableParametrizedFunction	Parametrized function with parameter derivative available
CderivativeSize< GenericFunction< T > >
CderivativeSize< GenericDifferentiableFunction< T > >
CderivativeSize< GenericTwiceDifferentiableFunction< T > >
CderivativeSize< NTimesDerivableFunction< N > >
CGenericDifferentiableFunction	Define an abstract derivable function ( )
CFunctionPool	A pool of functions that will be processed together
CGenericFunctionTraits	GenericFunction traits
CGenericFunction	Define an abstract mathematical function ( )
CGenericFunctionTraits< EigenMatrixDense >	Trait specializing GenericFunction for Eigen dense matrices
CGenericFunctionTraits< EigenMatrixSparse >	Trait specializing GenericFunction for Eigen sparse matrices
CGenericConstantFunction	Constant function
CCos	Cos function
CGenericIdentityFunction	Identity function
CPolynomial	Polynomial function
CSin	Sin function
CNoSolution	Tag a result if no solution has been found
CEigenMatrixDense	Tag type for functions using Eigen dense matrices
CEigenMatrixSparse	Tag type for functions using Eigen sparse matrices
CMinus	Subtract two RobOptim functions
CPlus	Sum two RobOptim functions
CProduct	Product of two RobOptim functions
CScalar	Multiply by a constant scalar value
CGenericNumericLinearFunction	Build a linear function from a vector and a matrix
CGenericNumericQuadraticFunction	Build a quadratic function from a matrix and a vector
CGenericTwiceDifferentiableFunction	Define an abstract function which is twice-derivable ( )
CGenericLinearFunction	Define an abstract linear function
CGenericQuadraticFunction	Define an abstract quadratic function
CProblem
CSolver	Solver for a specific problem class
CSolverFactory	Define a solver factory that instanciate the plug-ins
CNTimesDerivableFunction	Define a $\mathbb{R} \rightarrow \mathbb{R}^m$ function, derivable n times ( $n \geq 2$ )
CderivativeSize
CGenericSolver	Abstract interface satisfied by all solvers
CBind	Bind some function input to a constant value
CChain	Chain two RobOptim functions
CConcatenate	Concatenate the output of two functions
CDerivative	Return the derivative of a function w.r.t
CMap	Apply a function several times to an input vector
CSelectionById	Select part of a function
CSelection	Select a block of a function's output
CSplit	Select an element of a function's output
COptimizationLogger	Log the optimization process (values, Jacobians, time taken etc.)
CParametrizedFunction	Define an abstract parametrized mathematical function ( )
CGenericDummySolverLastState	Dummy solver which always fails, but returns the last state of the solver
CDummySolverTd	Dummy solver which always fails
CDummySolver	Dummy solver which always fails
CProblem< F, boost::mpl::vector<> >
CResultWithWarnings	Represents the solution of an optimization problem when errors occurred during the solving process
CResult	Represents the solution of an optimization problem
CSolverError	Base exception class for solving errors
CStateParameter	Solver state parameters type
CSolverState	State of the solver
CSolverWarning	Exception used for non-critical errors during optimization
CParameter	Solver parameter type
CGenericSumOfC1Squares	Generic sum of the squares of differentiable functions